Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
We're looking for a technical engineering manager to lead a team building and operating large-scale distributed systems. The ideal candidate combines deep technical expertise with strong operational instincts and a passion for building high-performing teams.
What you’ll do
Enable effective execution with Quality and Speed, in partnership with the team’s Product Manager
Ensure 3+ 9s availability of Dedicated infrastructure, ensuring security and automating for maximum scalability and number of tenants.
Provide clear direction, meaningful feedback and foster an environment where meaningless toil gets ruthlessly automated and Devops ownership is enforced.
Continuously improved owned artifacts in a direction of optimizing platforms for self-service ownership of production for feature implementers.
Recruitment, onboarding and development of excellent and productive team members.
Be a role model for the team: provide Proof of concepts, agentic mindset and extreme simplification of processes and removal of human toil. Show and Tell, not only Tell.
Role model Incident Management best-practices, lead in fast resolutions, escalations and train and codify best practices to the whole of GitLab
Data driven approach to prioritization, impact quantification and management of risk and technical debt.Able to use AI to demonstrate concepts and translate technical complexity to drive stakeholder decisions.
What you’ll bring
Proven track record building and owning large-scale distributed services, with the technical depth to dive into architecture and guide the team on technical strategy
Experience in driving operational excellence and you've owned services running at four-nines (99.99%) SLOs and know what it takes to keep them there
Experience leveraging AI tooling to boost team productivity, with real lessons learned from both wins and missteps
A history of building and managing high-performing, accountable team cultures, including managing out when necessary
Comfort driving complex projects to completion without relying on a dedicated TPM
Experience leading distributed and remote teams effectively
About the team
The Enterprise Platform team focuses on delivering the infrastructure and operational capabilities that let large, security-conscious customers run GitLab on their own terms. Within that group, the Dedicated team builds and operates GitLab Dedicated, our single-tenant SaaS offering that gives customers full data and source code isolation, private networking, and data residency in the AWS region of their choice — all deployed and maintained by GitLab with zero infrastructure overhead for the customer. We work asynchronously across regions and partner closely with Cell Infrastructure, Security, Compliance, and the Duo Agent Platform teams to extend agentic AI capabilities and multi-cloud support into single-tenant environments without compromising isolation guarantees.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Athens
Workplace: OnSite
Role highlights:
- Production Reliability Engineer
- Location: Athens
- Department: Mission Assurance & Reliability; Global Manufacturing Organisation
- Reports to: Manager, Mission Assurance & Reliability
- Employment type: Permanent
- Workplace model: Office
- Employment is subject to applicable security screening (incl. SUPO)
Why this role matters:
This role is responsible for assuring the reliability and quality of ICEYE’s subassembly production line, ensuring that assemblies meet design intent, space-grade quality requirements, and operational standards. The Production Reliability Engineer works closely with AIT engineering, production technicians, and integration teams to prevent quality escapes, ensure proper operator self-verifications, and drive proactive improvements through risk-based quality assurance methods.
The position reports to the Reliability & Mission Assurance team and serves as the quality assurance representative embedded in the subassembly production line. It plays a key role in maintaining product reliability, manufacturability, and compliance with space standards by implementing preventive quality practices, monitoring key metrics, and fostering a culture of quality ownership at the production level.
Who We Are
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
Your day-to-day responsibilities
- Oversee subassembly production activities, ensuring compliance with quality requirements, approved processes, and product specifications.
- Manage and support quality-related change management activities, including impact assessments, implementation follow-up, and effectiveness verification.
- Review, approve, and disposition non-conformances, ensuring timely resolution through use-as-is, rework, repair, or corrective actions as appropriate.
- Lead and support corrective and preventive action (CAPA) activities, including planning, implementation, and effectiveness monitoring.
- Perform and oversee final inspection activities, including visual inspections, configuration verification, and confirmation of inspection and test results.
- Prepare and review Acceptance Data Packages (ADPs) to ensure completeness, accuracy, and compliance with customer and regulatory requirements.
- Plan and conduct process audits, perform spot checks of newly implemented procedures, and follow up on corrective actions to verify sustained compliance.
- Develop, maintain, and continuously improve inspection plans, checklists, quality requirements, and inspection procedures in collaboration with Engineering and Production teams.
- Monitor production and quality performance indicators, including non-conformance trends, yields, rework, and process effectiveness, to drive continuous improvement.
- Provide guidance and training to production personnel on quality requirements, inspection standards, ESD/FOD control, cleanliness, and product handling practices.
- Ensure production readiness by verifying that required inspections, verifications, approvals, and quality gates are completed before manufacturing activities proceed.
- Collaborate with Engineering, Production, and Quality teams to identify risks, resolve quality issues, and improve manufacturing and inspection processes.
What we’re looking for
Must haves:
- Bachelor’s degree in Electronics, Mechatronics, or Electrical Engineering.
- Hands-on experience with electronics or PCBA.
- Practical experience in a high-reliability electronics production environment.
- Minimum 5 years of experience in production quality assurance, manufacturing engineering, or process reliability within electronics, aerospace, or high-reliability manufacturing.
- Solid understanding of subassembly production processes (gluing, soldering, assembly, and testing), process control, ESD/FOD/cleanliness requirements, and space or electronics manufacturing standards.
- Familiarity with standards such as IPC-A-610 Class 3, IPC/WHMA-A-620 Class 3, J-STD-001, and quality systems (ISO 9001 / AS9100)
- Proficiency in data-driven problem solving (e.g., 8D, 5 Whys), and fluency in English (written and verbal).
- Strong risk-based thinking, analytical mindset, and a hands-on approach.
- Demonstrated ability to train, influence, and collaborate with operators and engineers.
- Ability to influence and drive results without direct authority
- Structured problem-solving and analytical thinking
- High ownership with a proactive, hands-on approach
- Ability to manage multiple priorities in a fast-paced, evolving environment
Nice to haves:
- Experience with ECSS-Q-ST-20 or other space-quality assurance frameworks.
- Experience performing or leading PFMEA and control plan development.
- Hands-on experience implementing Lean or Six Sigma initiatives in electronics manufacturing.
- Experience supporting internal or external audits (ISO, or customer).
Application Process
- Screening
- Initial Interview
- Task & Presentation
- Final On-site Interview
Working at ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
How We Work (Our Values)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
Benefits
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Our Commitment to Diversity, Equity, and Inclusion
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help.
Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
The Pricing Strategy team owns the end-to-end pricing, packaging, and commercialization strategy across GitLab's product portfolio, from Premium and Ultimate tiers to GitLab Duo and our expanding artificial intelligence (AI) capabilities. As a Staff-level pricing and commercialization expert, you'll design, scale, and drive GitLab's enterprise monetization and commercial buying programs as an individual contributor at the top of our individual contributor track. You'll serve as the architect of our Enterprise Agreements, cloud marketplace and channel pricing structures, and competitive commercial programs, partnering across Product, go-to-market (GTM), Finance, Sales, Renewals, Product Marketing, Partners, and Deal Desk to turn pricing decisions into scalable programs that work for customers and the field.
What you'll do
Drive competitive pricing programs and tactical deal plays, including promotions, competitive replacement offers, and deal support, that help the field win and displace competitors in the DevSecOps and AI tooling market.
Own list-to-net price realization strategy across products, geographic regions, GTM segments, and routes to market.
Partner with Product Management, Product Marketing, and GTM leaders to shape new packaging and pricing proposals, evaluate monetization models as GitLab's AI and platform capabilities evolve, and bring data-backed recommendations to cross-functional and executive stakeholders.
Act as the go-to expert for pricing enablement by building training, playbooks, and battlecards that give the field confidence in pricing conversations and help them explain commercial value.
Put commercial programs into practice in partnership with Deal Desk, Revenue Operations, and Data teams, staying hands-on with execution as well as strategy.
Define, launch, and scale Enterprise Agreements and marketed bundling strategies that simplify transactions, encourage multi-product and GitLab Duo adoption, and maximize customer lifetime value.
Define channel and marketplace pricing strategy, including tiering, discounting frameworks, and margin structures, across resellers, global systems integrators, independent software vendors, and cloud marketplaces such as Amazon Web Services, Google Cloud Platform, and Microsoft Azure.
Document decisions and frameworks in the GitLab handbook and default to asynchronous, written communication as part of GitLab's all-remote, globally distributed team.
What you'll bring
Extensive experience across strategy consulting, pricing, strategic finance, or corporate or deal strategy, ideally at a software as a service or enterprise software company.
Deep experience in monetization or pricing strategy, including direct ownership of pricing waterfalls, enterprise buying programs such as Enterprise License Agreements or Enterprise Agreements, or channel and marketplace pricing models.
A track record of operating as a go-to expert without formal authority. Other teams bring you difficult pricing questions, and your recommendations carry weight with senior stakeholders because of the thinking and evidence behind them.
Hands-on work with AI agents and automations that real teams used in production
A bias toward iteration and shipping. You're comfortable making a strategic call, documenting the reasoning, and adjusting as new data comes in instead of waiting for perfect information.
Strong written communication skills and the ability to work independently in an asynchronous, all-remote environment while driving cross-functional agreement.
Experience partnering with and influencing senior stakeholders across Product, Sales, and Finance, including vice president and senior vice president levels, as an individual contributor.
About the team
The Pricing Strategy team shapes how GitLab packages, prices, and commercializes its product portfolio. The team works across Product, GTM, Finance, Partners, Deal Desk, Renewals, and Data to create pricing frameworks and buying programs that can scale. In this role, you'll help connect product and monetization strategy with the practical programs used by customers, partners, and the field.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$139,200
—
$235,200 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting 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
Anthropic's Safeguards organization builds the policies, evaluations, and enforcement systems that keep our models from contributing to catastrophic harm. We are hiring a manager to lead the research engineering team responsible for biological safety: the evaluations, datasets, and classifiers that govern how our models handle biological knowledge.
You will lead a team of research scientists and engineers who design and run capability evaluations against frontier models, curate training data for our safety classifiers, train and iterate on those classifiers alongside our ML engineers, and measure how they hold up against adversarial pressure in production traffic. You will set the technical direction for that work, decide where the team invests, and own the results.
This is a hands-on management role. Most of your time goes to growing and directing the team, but you will keep enough technical depth to review an eval design, interrogate a classifier's failure modes, and represent the work credibly to Research, Product, and Policy partners.
The core tension your team owns 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 your team is the one measuring it.
Key responsibilities
Manage, coach, and grow a team of research scientists and engineers working on biological safety evaluations and classifiers, including hiring, onboarding, performance, and career development
Set the technical direction and roadmap for the biological safety research agenda, and make the calls about what the team builds, what it deprioritizes, and when a safeguard is ready to ship
Own the quality of capability evaluations that assess what new models can do in the biological domain, and turn results into deployment recommendations that leadership can act on
Guide the development of training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk
Oversee the training and iteration of safety classifiers alongside ML engineers, optimizing jointly for adversarial robustness and low false-positive rates
Ensure the team invests in the tooling and pipelines that make evaluation and classifier development fast and repeatable
Establish how the team measures classifier and eval performance against production traffic, identifies gaps, and prioritizes improvements
Direct red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve
Partner with Research, Product, Policy, and government affairs colleagues to embed biological safety throughout the model development lifecycle, and serve as an escalation point for biological content
Represent the team's work in external communications including model cards, blog posts, and policy documents
Track developments in biology, machine learning, and biosecurity for their potential to create new risks or enable new mitigations
Minimum qualifications
Experience managing a technical team, including hiring, coaching, and performance management
A record of setting technical direction for a team and making prioritization calls under uncertainty
Proficiency in Python, with a background in scientific programming and data analysis
A solid grasp of ML fundamentals, sufficient to critically review evaluation design and classifier development
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
Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results
Clear 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
Motivation to prevent misuse without obstructing the beneficial work that makes up the vast majority of this field
Preferred qualifications
3+ years of people management experience, ideally leading research scientists, research engineers, or ML engineers
Experience building a team or function from a small headcount, including defining scope, hiring the first few people, and establishing how the team works
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 working with large language models, including prompting, fine-tuning, or evaluation
Experience training or deploying classifiers or other ML systems in production, and comfort reasoning about precision and recall for rare, high-consequence categories where the base rate is very low
Experience developing ML methods for biological systems or biological data
Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems
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:
$405,000
—
$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.
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 | 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 Lead on the User Well-Being team, you will be responsible for managing our child safety, mental health, abuse and exploitation, and age assurance enforcement workflows. This will include managing the team responsible for scaling, maintaining, and continuously improving the systems and processes we use to detect and respond to these harms.
This is a management role. You will serve as the central point of contact for those who conduct content review, managing day-to-day workflows, quality assurance, and escalation processes. You will also work closely with internal Engineering, Policy, and Legal teams to scale detection systems and close enforcement gaps as the threat landscape evolves.
Important context for this role: In this position you will regularly be exposed to and engage with explicit content of a sexual nature involving minors, as well as content that may be violent or psychologically disturbing. Anthropic takes the wellbeing of team members working in this area seriously and provides access to wellness resources and support. Candidates should carefully consider this aspect of the role before applying.
Key responsibilities
Manage a team of individual contributors across multiple policy areas under the User Well-Being banner
Serve as the primary point of contact for review partners conducting content review, including onboarding, training, quality assurance, and ongoing relationship management
Design and improve enforcement workflows to scale effectively as volume grows, while maintaining high accuracy and consistency across review decisions
Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for User Well-Being policies
Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate and consistent enforcement at scale
Keep up to date with emerging AI policy enforcement best practices, evolving legal frameworks, and developments in technology, and use these to inform our workflows
Identify and report trends in misuse patterns to internal stakeholders, including Policy, Legal, and Trust & Safety leadership
Coordinate reporting obligations to relevant external bodies (e.g., NCMEC) in accordance with applicable law and Anthropic policy
Minimum qualifications
Experience managing teams in the User Well-Being space
Experience in trust & safety, content moderation operations, or policy enforcement with direct exposure to child safety, mental health, abuse and exploitation, and age assurance harm areas
Experience managing or coordinating content review operations, including quality assurance and workflow management
Experience standing up and scaling policy enforcement or content review workflows
Proficiency in SQL and/or other data analysis tools to monitor workflow health, review queue metrics, and surface enforcement trends
Experience identifying emerging risks and communicating findings to cross-functional stakeholders, such as Product, Policy, Engineering, and Legal teams
Understanding of the challenges involved in implementing product policies at scale in the content moderation space
Preferred qualifications
Deep subject matter expertise in child safety, child sexual exploitation and abuse (CSEA), online child protection, mental wellness, and age assurance
Experience working with or reporting to NCMEC, IWF, or equivalent child safety reporting bodies
Familiarity with relevant legal and regulatory frameworks, including CSAM reporting obligations, KOSA, COPPA, or equivalent international frameworks
Experience working with generative AI products, including an understanding of how AI systems can be misused to generate or facilitate abusive content
Experience designing or evaluating trauma-informed support structures and wellness protocols for content reviewers working with harmful material
Proficiency in Python for workflow automation or data analysis
Experience working with hash-matching technologies (e.g., PhotoDNA, CSAI Match) or perceptual hashing tools used in CSAM detection
Familiarity with age assurance technologies and their role in child safety enforcement
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.
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 | 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 focused on Conventional Weapons, your work spans detecting and mitigating attempts to misuse Anthropic's AI systems to facilitate real-world harm, specifically utilizing conventional weapons and dangerous technology. You will be responsible for building and executing operational workflows to assess model behavior, drive enforcement decisions, and develop evals across a technically demanding range of policy areas.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, graphic, hateful, or psychologically disturbing nature.
Key responsibilities
Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy
Develop and maintain evals that measure model performance on these policy areas, surface regressions, and inform policy and model improvements
Partner with Engineering and Data Science to optimize detection and automated enforcement systems for potential policy violations
Review flagged content to drive enforcement decisions and surface policy gaps, with particular attention to novel or technically sophisticated misuse attempts + emerging tactics
Support the Safeguards policy design team by providing structured feedback on policy gaps and enforcement ambiguities based on real enforcement scenarios
Develop and maintain enforcement guidelines and reviewer documentation that enable accurate, consistent enforcement across a wide range of content
Keep up to date with emerging weapons trends and applications, regulatory changes, and AI policy enforcement best practices, and apply these to inform our workflows and evals
Identify and escalate emerging misuse patterns, novel attack vectors, and signs of coordinated violent activity
Minimum qualifications
Have deep, applied expertise in weapons systems and can translate complex technical evidence to make enforcement decisions
Experience in policy enforcement, threat intelligence, counterterrorism, government, or a closely related field, with direct exposure to harmful content, dangerous technology, or physical harm facilitation
Experience standing up and scaling policy enforcement or content review workflows
Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health
Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams
Experience working with generative AI products, including writing effective prompts for content review and enforcement
Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space
Preferred qualifications
Subject matter expertise in conventional weapons and dangerous technology, autonomous systems, or critical infrastructure protection
Familiarity with relevant legal and regulatory frameworks governing dangerous technology, conventional weapons, and critical infrastructure
Experience developing evals or red-teaming AI systems, particularly for harmful content or policy enforcement use cases
Experience with threat actor profiling and threat intelligence frameworks (e.g., MITRE ATT&CK)
Experience tracking threat actors, extremist networks, or misuse patterns across surface, deep, and dark web environments
Experience with large language models and an understanding of how AI technology could provide meaningful uplift toward serious harm
Proficiency in Python for data analysis and workflow automation
Background in law enforcement, national security, defense, counterterrorism, or a relevant regulatory environment
Experience assessing the technical plausibility and real-world harm potential of content, including the ability to distinguish between general educational content and genuine operational uplift, and between protected speech and genuine incitement/mobilization
Familiarity with cross-platform threat analysis and OSINT techniques
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
—
$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.
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: Houston, United States
We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we’ve been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life cycle – offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline, subsea, process, and valves – all designed to help you optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies, making us a leading and trusted partner every step of the way.
The Role
We are looking for an experienced Hydraulic Technician to join our team, responsible for the fabrication, installation, testing and maintenance of stainless steel hydraulic and instrumentation tubing systems.
The role requires hands-on experience with
316 stainless steel tubing from 1/4" through 2" OD
, including the coning and threading of medium-pressure (MP) and high-pressure (HP) tubing.
Key Responsibilities
• Install, bend, route and secure stainless steel hydraulic and instrumentation tubing from 1/4" through 2" OD.
• Measure, cut, deburr, clean and fabricate tubing assemblies using manual and hydraulic tube-bending equipment.
• Cone and thread MP and HP stainless steel tubing using approved tooling and procedures.
• Install compression fittings, MP/HP connections, valves, manifolds, clamps, supports and other hydraulic components.
• Read and interpret hydraulic schematics, P&IDs, isometric and fabrication drawings.
• Perform pressure testing, flushing and leak testing of hydraulic systems.
• Troubleshoot and repair hydraulic tubing, fittings, valves and associated components.
• Ensure correct tube routing, bend radii, fitting alignment, cleanliness and installation standards.
• Complete relevant inspection, testing and work documentation.
• Maintain high standards of safety and quality at all times and travel to customer, onshore and offshore locations as required.
Essential
• High school diploma, GED or equivalent.
• Minimum 3 years' experience in hydraulic tubing installation or a similar industrial environment.
• Demonstrable experience installing
316 stainless steel tubing from 1/4" through 2" OD
.
• Hands-on experience
coning and threading medium- and high-pressure stainless steel tubing
.
• Knowledge of MP/HP tubing systems, pressure-rated fittings and hydraulic systems.
• Experience with compression fitting systems such as Parker A-LOK, Swagelok, Hy-Lok, Autoclave Engineers, HIP or equivalent.
• Ability to read hydraulic schematics, P&IDs and engineering drawings.
• Strong mechanical, troubleshooting and problem-solving skills.
• Valid driver's licence and willingness to travel as required.
Desirable
Experience within oil & gas, petrochemical, pipeline, offshore or industrial environments would be advantageous, along with experience in hydraulic flushing, hydrostatic testing, hydraulic control panels, manifolds and power units.
Diversity & Inclusion
EnerMech is dedicated to fostering a diverse and inclusive organization. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities.
Location: Hyderabad, India
Location:
India (100% Remote / Flexible)
Contract Type:
Full-Time / Enterprise Project Engagement
About Xenon7
Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth.
Job Summary
We are seeking a high-caliber
Forward Deployment Engineer (FDE)
to sit at the intersection of enterprise AI platforms and executive Finance business functions for our Fortune 100 enterprise client. This role bridges advanced AI platform engineering with direct business impact—translating ambiguous financial challenges into working AI applications, deploying them into regulated client environments, and iterating in tight loops to drive measurable ROI.
Rather than building static models or waiting for formal spec sheets, you will operate as a product-minded technical lead. You will prototype user-facing tools in days, deploy agentic and RAG workflows on top of enterprise data stacks (Databricks Genie), and ensure high adoption across FP&A, Controllership, Treasury, and CFO leadership.
Key Responsibilities
End-to-End AI Application Prototyping & Delivery
Own the full lifecycle of AI solutions for Finance business units—from initial discovery with CFO stakeholders to production deployment, user adoption, and ROI measurement.
Rapidly prototype vertical applications using Streamlit, Databricks Apps, FastAPI/Flask, or lightweight React interfaces within 1–2 weeks to gather real user feedback.
Handle "last mile" execution: edge cases, data quirks, business rule exceptions, and user training to turn prototypes into sticky enterprise products.
Agentic Systems & LLM Engineering
Build production-grade vertical AI tools leveraging Databricks Genie (Genie Spaces, semantic models).
Construct robust RAG pipelines incorporating advanced chunking, vector databases (Pinecone, Chroma, FAISS, Azure AI Search, Cortex Search), retrieval evaluation, grounding, and citation.
Implement LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex) and apply rigorous prompt engineering with hallucination and accuracy evaluation discipline.
Enterprise Data & Regulated Integration
Deploy applications inside heavily regulated enterprise environments, adhering strictly to RBAC, data residency, audit, and compliance constraints (SOX, GxP).
Connect solutions to governed datasets, semantic models, and core enterprise platforms (SAP, Workday, Coupa, ERP) via secure REST APIs.
Instrument all deployed apps with usage metrics, telemetry, and business outcome tracking from day one.
Strategic Stakeholder Advisory & Pattern Extraction
Work directly with senior Finance leadership (CFO office, FP&A, Controllership) to translate ambiguous operational friction into crisp technical roadmaps.
Extract reusable code components, prompt templates, evaluation harnesses, and retrieval patterns into shared enterprise assets for broader deployment.
Requirements
Experience & Mindset
Experience:
5+ years of hands-on software development and full-stack AI application deployment.
Product-Shaped Builder:
Strong bias for action; comfortable shipping rough prototypes in Week 1 over polished spec documents in Week 4.
Ambiguity Tolerance:
Proven ability to navigate vague business problems without predefined specifications.
Stakeholder Communication:
Outstanding ability to interface directly with senior business leaders without requiring intermediary Business Analysts.
Must-Have Technical Stack
Languages & Frameworks:
Python, FastAPI/Flask, SQL, and UI frameworks (Streamlit, Databricks Apps, React).
AI Platforms:
Direct hands-on experience with
Databricks Genie
.
LLM Engineering:
Production experience with LangChain, LangGraph, LlamaIndex, vector search engines, and prompt evaluation harnesses.
Cloud & DevOps:
Deep working knowledge of Cloud platforms (Azure preferred, AWS/GCP acceptable), modern Git workflows, CI/CD, and basic MLOps awareness (observability, versioning via LangSmith, Datadog, etc.).
Domain Competency (Finance Focus)
Solid foundational understanding of core Finance business processes (FP&A, order-to-cash, procure-to-pay, record-to-report, close cycles) and common financial metrics (OPEX, EBITDA, gross margin, working capital).
Nice-to-Haves & Certifications
Prior FDE, Solutions Engineer, or Field Engineer experience at high-growth AI/Data companies (Palantir, Databricks, OpenAI, Anthropic).
Industry background in Life Sciences, Pharma, Healthcare, or CPG enterprise Finance.
Experience with enterprise Finance software (SAP S/4HANA, Veeva, Workday Adaptive, Oracle Financials).
Certifications: Databricks Certified, or Azure AI Engineer Associate (AI-102).
What This Role Is NOT
Not a pure Data Scientist or ML Researcher:
You will not be training or fine-tuning foundation models from scratch; you are applying existing models to business problems.
Not a non-coding Architect:
This is a 100% hands-on builder role.
Not a pure Backend or MLOps Engineer:
You must be comfortable owning the user-facing interface and direct business interaction.
Location: Texas City, United States; Oklahoma City, United States; Arkansas City, United States; Houston, United States
The Company
Our client is a progressive global plastic recycling business with three distinct divisions: (1) Plastic Recycling; (2) Recycled Supply Chain Management; and (3) Recycled & Waste Plastic Feedstock. Their expert global team combine impressive technical knowledge and capability with a passion for recycling and the circular economy. Our client is passionate about transforming waste into a valuable commodity, buying, selling and recycling scrap plastic.
Since our client started on their journey in 2005, they have developed a worldwide presence, serving hundreds of customers in over 50 countries. They have grown a strong, talented team who are highly trained, dedicated and loyal. They are headquartered in Hong Kong with operations and representation in Australia, Finland, Ireland, Turkey, Spain, Netherlands & UK. They operate a factory based in the UK specialising in the collection and recycling of plastic waste generated from industry and manufacturing.
Job Summary
The mission of this role is to establish and scale our client in USA into a high-performing, controlled and profitable business platform capable of supporting long-term growth.
This is a hands-on leadership role responsible for building the operational and financial foundations of the US business. The successful candidate will guide the set up of the business and its operations, establish finance controls, support banking and payment controls, and ensure operational execution does not become a barrier to growth.
You will oversee contract-to-cash execution, logistics oversight, documentation standards, customer service processes, performance reporting, risk controls and team development. You will build the structure needed for the US business to scale through its first stage of growth.
Working closely with commercial and global business leaders, you will ensure our client in USA has the standards, controls and responsiveness required to serve customers, support suppliers and convert trading opportunities into profitable cash outcomes.
This is not a purely strategic role. It requires someone willing to get into the detail, solve problems quickly, hold standards and create the practical operating rhythm needed for a new business to grow.
Essential Duties & Responsibilities
Business Establishment & Leadership:
Lead the set up and development of the US operating platform.
Establish scalable operational, finance and reporting processes.
Develop the organisational structure and hiring plan for the US operation.
Build and develop future operational, logistics and finance team members.
Identify growth constraints and implement practical solutions.
Drive accountability, ownership and performance standards across the business.
Operational Management:
Oversee contract execution from trade confirmation through to cash collection.
Ensure operational excellence across logistics, documentation and customer service.
Develop procedures to support growth while managing risk.
Ensure customer and supplier requirements are handled with speed and accuracy.
Drive continuous improvement across the full execution process.
Ensure clear communication between commercial, operations, finance and logistics teams.
Financial Control & Governance:
Support the establishment of banking relationships and payment control processes.
Oversee customer credit, deposit, balance payment and cargo release disciplines.
Support financial reporting, budgeting and performance management activities.
Ensure strong commercial controls are maintained during periods of rapid growth.
Work closely with finance teams to protect working capital, manage risk and improve cash conversion.
Global Coordination:
Work closely with colleagues across the US, UK, Europe, Türkiye, Asia, Australia and LATAM.
Support global trading opportunities by ensuring US operations can execute reliably.
Maintain consistent operating standards across regions.
Challenge constructively when payment, risk, customer service or operating standards need to be protected.
Build strong working relationships while remaining firm on the standards required to protect the business.
Team Development:
Recruit, lead and develop a high-performing operational team.
Create a culture of ownership, accountability, customer focus and continuous improvement.
Coach team members to understand the full trade execution process.
Develop future leaders capable of supporting long-term growth.
Ad hoc duties as and when required and not limited within the role.
Requirements
Knowledge (Education & Related Experience):
Minimum of 10 years’ experience in operational leadership, business management, trading operations, logistics, supply chain or related fields.
Experience within commodity trading, chemicals, polymers, recycling, logistics, freight forwarding, supply chain or related industries.
Strong understanding of contract-to-cash processes.
Experience working across multiple countries, offices and time zones.
Experience leading and developing teams.
Experience implementing operational controls and business processes.
Experience in a multinational business or globally distributed operating model.
Experience using ERP, CRM, reporting or business management systems an advantage.
Skills & Abilities:
Strong financial and commercial acumen.
Able to establish practical controls without slowing the business down unnecessarily.
Able to build credibility quickly with commercial, finance, logistics and operational teams.
Able to challenge senior colleagues constructively when business standards need to be upheld.
Able to manage and respond quickly to changing or competing priorities.
Highly organised, detail-minded and able to work independently.
Able to present and clearly communicate information in speaking and writing.
Able to ensure tasks are completed on time and to a high standard.
Able to use the full suite of O365 products, especially Outlook, Excel, Word and Teams.
Competencies:
Non-Negotiables:
Being Resilient, Collaborative, Customer Focused, Inquisitive, Reflective, Resourcefulness, Taking Initiative.
Professional and ethical in their approach.
Understands that upfront effort prevents issues down the line.
Committed to on-going personal and professional development.
Values team above self.
Takes ownership of outcomes and follows through.
Location: France
The Company
Our client is a progressive global plastic recycling business with three distinct divisions: (1) Plastic Recycling; (2) Recycled Supply Chain Management; and (3) Recycled & Waste Plastic Feedstock. Their expert global team combine impressive technical knowledge and capability with a passion for recycling and the circular economy. Our client is passionate about transforming waste into a valuable commodity, buying, selling and recycling scrap plastic.
Since our client started on their journey in 2005, they have developed a worldwide presence, serving hundreds of customers in over 50 countries. They have grown a strong, talented team who are highly trained, dedicated and loyal. They are headquartered in Hong Kong with operations and representation in Australia, Finland, Ireland, Turkey, Spain, Netherlands & UK. They operate a factory based in the UK specialising in the collection and recycling of plastic waste generated from industry and manufacturing.
Job Summary
Your role will be to procure and sell recycled plastics, with a particular focus on PET (rPET). You will be working closely with local and global teams, communicating with colleagues across the world every day, a highly collaborative and entrepreneurial mindset are key to being a top performer. You will develop relationships with material suppliers & buyers, assess their capabilities for a fit with our client's strategy and market demands.
Being able to manage ongoing negotiations, incoming new opportunities and customer development all at the same time makes this role suitable for a skilled business development executive who is results driven and uses time effectively. Success is achieved through a disciplined and consistent approach to building relationships, utilising the CRM and hunting for your own leads to keep a full pipeline of opportunities.
The ideal candidate will thrive in a fast-moving environment, react quickly to changing priorities, be able to follow internal processes and proactively manage risk. An excellent communicator, you will demonstrate an optimistic and persistent approach, always open to giving and receiving feedback on performance. Challenges are seen as an opportunity to learn. This role is suited to an ambitious individual who is motivated, goal driven and wants to be part of a values driven organisation in a growth industry.
Essential Duties & Responsibilities
Business Development & Delivery
Map the market and develop new suppliers & buyers from manufacturing (fibre, sheet & film), recycling & waste sectors.
Assess client suitability against strategy, quality requirements & size of opportunity.
Develop purchasing contracts for regular volumes of waste and recycled materials (particularly PET or rPET).
Execute sales for scrap & recycled PET (rPET) sourced from our client's global locations to licensed manufacturers and recyclers.
Actively seek out new opportunities and conduct market research through research, cold calling, networking, social media, attending conferences and trade fairs.
Maximise margin by using effective negotiation techniques.
Able to challenge customer views and counter objections to move towards closing a deal.
Actively engage with the greater team to develop skills and share knowledge.
Perform site visits to qualify, build relationships and discover market information.
Develop and enhance relationships by being creative, innovative and offering excellent service that is responsive and tailored to client needs.
Engage in constant and active risk management, to ensure the material is per the company and customer quality requirements.
Reporting & Management
Keep detailed logs in CRM of all activities constantly.
Maintain accurate records of customer information in CRM, including material requirements.
Provide feedback & market reports to Management.
Use knowledge of competitors and market to develop our client’s unique selling propositions.
Contribute to developing standard operating procedures to mitigate risk and ensure seamless workflow.
Requirements
Person Specification
Knowledge (Education & Related Experience)
At least 5 years’ experience in business development in raw materials supply.
Experience in recycled plastic or prime PET an advantage, not a requirement.
Experience of developing new accounts and long term contracts.
Skills & Abilities
Multilingual (fluent English is a requirement).
Able to use logic and reasoning to appraise situations .
Able to anticipate opportunities and risks.
Able to build rapport quickly with colleagues and customers.
Able to negotiate effectively with customers to maximise margins.
Able to effectively collaborate with colleagues to achieve results.
Able to manage and respond quickly to changing/competing priorities .
Highly organized, able to independently plan own time.
Able to follow internal procedure & policy (CRM, Admin, Trial Policies, Customer Onboarding).
Able to present and clearly communicate information in speaking and writing.
Able to ensure tasks are completed on time and to a high-standard.
Able to use Excel, Outlook, Word and other MS Office products with high level of proficiency.
Able to undertake effective research.
General Attributes
Non-Negotiables
: Action oriented, Builds strong relationships, Curious, Driven to learn, Empathetic, Investigative, Reflective, Resilient, Resourceful, Seeks feedback, Trustworthy.
Willing to take complete ownership of the role and drive success.
Grit and determination.
Persuasive with a ‘can do’ attitude.
Self-aware and reflective on successes and failures.
Not afraid to have challenging conversations.
Understands that upfront effort prevents issues down the line.
Committed to on-going personal and professional development.
Values team above self.
Location: Poland
The Company
Our client is a progressive global plastic recycling business with three distinct divisions: (1) Plastic Recycling; (2) Recycled Supply Chain Management; and (3) Recycled & Waste Plastic Feedstock. Their expert global team combine impressive technical knowledge and capability with a passion for recycling and the circular economy. Our client is passionate about transforming waste into a valuable commodity, buying, selling and recycling scrap plastic.
Since our client started on their journey in 2005, they have developed a worldwide presence, serving hundreds of customers in over 50 countries. They have grown a strong, talented team who are highly trained, dedicated and loyal. They are headquartered in Hong Kong with operations and representation in Australia, Finland, Ireland, Turkey, Spain, Netherlands & UK. They operate a factory based in the UK specialising in the collection and recycling of plastic waste generated from industry and manufacturing.
Job Summary
Your role will be to procure and sell recycled plastics, with a particular focus on PET (rPET). You will be working closely with local and global teams, communicating with colleagues across the world every day, a highly collaborative and entrepreneurial mindset are key to being a top performer. You will develop relationships with material suppliers & buyers, assess their capabilities for a fit with our client's strategy and market demands.
Being able to manage ongoing negotiations, incoming new opportunities and customer development all at the same time makes this role suitable for a skilled business development executive who is results driven and uses time effectively. Success is achieved through a disciplined and consistent approach to building relationships, utilising the CRM and hunting for your own leads to keep a full pipeline of opportunities.
The ideal candidate will thrive in a fast-moving environment, react quickly to changing priorities, be able to follow internal processes and proactively manage risk. An excellent communicator, you will demonstrate an optimistic and persistent approach, always open to giving and receiving feedback on performance. Challenges are seen as an opportunity to learn. This role is suited to an ambitious individual who is motivated, goal driven and wants to be part of a values driven organisation in a growth industry.
Essential Duties & Responsibilities
Business Development & Delivery
Map the market and develop new suppliers & buyers from manufacturing (fibre, sheet & film), recycling & waste sectors.
Assess client suitability against strategy, quality requirements & size of opportunity.
Develop purchasing contracts for regular volumes of waste and recycled materials (particularly PET or rPET).
Execute sales for scrap & recycled PET (rPET) sourced from our client's global locations to licensed manufacturers and recyclers.
Actively seek out new opportunities and conduct market research through research, cold calling, networking, social media, attending conferences and trade fairs.
Maximise margin by using effective negotiation techniques.
Able to challenge customer views and counter objections to move towards closing a deal.
Actively engage with the greater team to develop skills and share knowledge.
Perform site visits to qualify, build relationships and discover market information.
Develop and enhance relationships by being creative, innovative and offering excellent service that is responsive and tailored to client needs.
Engage in constant and active risk management, to ensure the material is per the company and customer quality requirements.
Reporting & Management
Keep detailed logs in CRM of all activities constantly.
Maintain accurate records of customer information in CRM, including material requirements.
Provide feedback & market reports to Management.
Use knowledge of competitors and market to develop our client’s unique selling propositions.
Contribute to developing standard operating procedures to mitigate risk and ensure seamless workflow.
Requirements
Person Specification
Knowledge (Education & Related Experience)
At least 5 years’ experience in business development in raw materials supply.
Experience in recycled plastic or prime PET an advantage, not a requirement.
Experience of developing new accounts and long term contracts.
Skills & Abilities
Multilingual (fluent English is a requirement).
Able to use logic and reasoning to appraise situations .
Able to anticipate opportunities and risks.
Able to build rapport quickly with colleagues and customers.
Able to negotiate effectively with customers to maximise margins.
Able to effectively collaborate with colleagues to achieve results.
Able to manage and respond quickly to changing/competing priorities .
Highly organized, able to independently plan own time.
Able to follow internal procedure & policy (CRM, Admin, Trial Policies, Customer Onboarding).
Able to present and clearly communicate information in speaking and writing.
Able to ensure tasks are completed on time and to a high-standard.
Able to use Excel, Outlook, Word and other MS Office products with high level of proficiency.
Able to undertake effective research.
General Attributes
Non-Negotiables
: Action oriented, Builds strong relationships, Curious, Driven to learn, Empathetic, Investigative, Reflective, Resilient, Resourceful, Seeks feedback, Trustworthy.
Willing to take complete ownership of the role and drive success.
Grit and determination.
Persuasive with a ‘can do’ attitude.
Self-aware and reflective on successes and failures.
Not afraid to have challenging conversations.
Understands that upfront effort prevents issues down the line.
Committed to on-going personal and professional development.
Values team above self.
Location: San Francisco, CA | New York City, NY
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
Anthropic is looking for an experienced G&A Recruiter to help build the business functions that keep our company running smoothly. You'll partner directly with hiring managers across our General & Administrative teams, owning searches that range from high-volume pipelines to highly strategic, hard-to-fill roles — and you'll be expected to context-switch between them without dropping quality.
This is a role for someone who thrives on ownership across a diverse portfolio. You'll manage a high req load across multiple hiring managers, use data and systems to prioritize and surface issues early, and build repeatable processes that scale. We're also looking for someone who actively leverages AI and automation to increase throughput while protecting a great candidate experience.
Beyond execution, you'll bring genuine recruiting expertise to your stakeholders: calibrating profiles, sharing market insight, improving processes, and pushing back constructively when patterns aren't working. As Anthropic grows quickly, this role will be key to scaling the teams that support our mission.
Key responsibilities
Own full-cycle recruiting across G&A functions, adapting candidate profiles, comp benchmarks, and assessment criteria to each segment and level
Context-switch between high-volume hiring and strategic, senior searches while maintaining consistent quality and candidate experience
Manage a high req load across multiple hiring managers without becoming a bottleneck — using data and systems to prioritize, surface issues early, and keep pipelines healthy
Build repeatable, scalable processes, and leverage AI and automation to increase throughput across your portfolio
Integrate into existing hiring rhythms while bringing recruiting expertise — calibration, market insight, and process improvement — and pushing back constructively when patterns aren't working
Own outcomes across a diverse portfolio, holding yourself accountable for hiring results rather than activity
Protect Anthropic's culture by deeply understanding our mission and screening for alignment alongside capability
Minimum qualifications
Have demonstrated success recruiting across G&A role types and segments (e.g., Finance, Legal, People, Operations) and understand how profiles, comp, and assessment criteria differ across levels
Can show examples of moving fluidly between high-volume pipelines and strategic searches without sacrificing quality or candidate experience
Have managed heavy req loads across multiple hiring managers, and use data to prioritize, spot bottlenecks, and surface issues before they become problems
Build repeatable processes and are actively experimenting with AI and automation tools to increase your throughput
Have strong stakeholder management skills — you integrate into existing hiring rhythms, add value beyond execution, and push back constructively when something isn't working
Bring an ownership mentality across a diverse portfolio, with a continuous improvement mindset
Are deeply curious about Anthropic's mission and passionate about AI's potential to positively impact the world
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:
$175,000
—
$240,000 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.
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 | New York City, NY
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
Anthropic's enterprise business is growing fast, and enterprises are adopting Claude across product surfaces. Before they can deploy at scale, they need the same foundations everywhere: security and compliance controls, identity and access management, data governance, admin controls, and cost and spend management. This work is especially critical for customers in regulated industries (financial services, healthcare, public sector), whose security, privacy, and resilience requirements set the bar for everyone else.
We're looking for a Technical Program Manager to partner with the teams that own these enterprise foundations, own the planning and execution rhythm that gets each capability onto every surface, and contribute to a coherent leadership view of coverage, gaps, and progress across products. This is a senior role: product, engineering, and GTM leaders will look to you for where we stand on enterprise readiness and for the plan to close the gaps.
Responsibilities
Run the planning and operating cadence for the foundational-capability roadmap across surfaces: clear DRIs, sequenced dependencies, and a single source of truth on coverage and status for product, engineering, and GTM leadership
Drive the highest-priority foundational capability programs end to end, from scoping and tradeoff decisions through delivery on every surface
Shape the readiness bar for new products and features: what a surface must have in place before it reaches enterprise customers, and the call on in-flight features that are missing controls
Work across teams and directly with customers: partner with sales, customer success, solutions, and support on active deals and escalations, join customer security and compliance reviews, and bring what enterprises are blocked on back to product and engineering
Translate customer and regulatory requirements into technical programs: work with legal, compliance, and GTM to prioritize the highest-impact enterprise asks and map them to roadmaps with dates
Sample projects include
Take a regulated customer's security control assessment from findings to closed gaps, with owners and dates across product, security, and infrastructure
Stand up a data residency program: gather requirements by market, what each surface must support, and sequencing with infrastructure
Build the operating model for co-building with a large enterprise design partner: staffing, cadence, and how their asks reach the roadmap
Extend healthcare compliance coverage to new product surfaces, with a migration path customers can actually take
You may be a good fit if you
Have 8+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments
Have driven decisions among senior leaders with competing priorities, and are comfortable plainly articulating what is and is not ready for enterprise customers
Have driven adoption of platform or horizontal capabilities across product teams that don't share a reporting line, where success depended on other teams building on what you shipped
Understand what enterprises require before they adopt at scale, particularly for customers in regulated industries: security and compliance frameworks (SOC 2, ISO 27001, HIPAA, FedRAMP), identity and access (SSO, SCIM, RBAC), data governance (retention, residency, customer-managed keys), audit logging, and spend controls
Have worked directly with regulated customers on their security reviews, questionnaires, audit findings, and contract redlines, and understand how control design, evidence collection, and engineering delivery fit together
Thrive when the operating model itself is still being defined and see shaping it as part of the job
Strong candidates may also have
Owned a HIPAA program end to end at a software company, including BAAs, PHI handling, and supporting product controls
Worked with financial services customers on data retention, data residency, and encryption requirements (including retention and deletion commitments, regional hosting, customer-managed keys, and contractual evidence and attestations)
Run a design partnership or co-build with a large enterprise customer
Experience using Claude or other LLM tooling to automate program tracking and reporting
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:
$365,000
—
$435,000 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.
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: Toronto; New York
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
ABOUT THE ROLE
We're looking for an Engineering Manager to lead our Deployment Engineering team in North America. This isn't a typical management role - we need someone who thrives in a fast-paced, high-growth environment and leads from the front: technically sharp, hands-on, and relentlessly focused on impact. You'll manage a team of Forward Deployed Engineers on the front lines of building agentic solutions with Cohere's North platform, balancing technical excellence with the kind of team leadership that actually moves things forward. You'll be solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.
WHAT YOU'LL DO
- Lead and mentor a team of Forward Deployed Engineers focused on building agentic solutions with North in on-premises environments.
- Take ownership of customer success from technical implementation through delivery.
- Collaborate closely with Product, Engineering, and Sales to shape how we deliver AI to enterprises.
- Build relationships with technical stakeholders on the customer end.
- Foster a culture of continuous improvement and innovation, focusing on bringing agentic solutions to every step of the development process.
- Define and implement processes that scale agent development and deployment across multiple client environments
WHAT WE'RE LOOKING FOR
- 8+ years of experience in software engineering
- 2+ years of experience managing software engineering teams
- Experience managing engineers in a fast-paced, high-growth environment
- Hands-on experience building and deploying enterprise software at scale, with focus on agentic applications
- High agency - you don't wait for permission to solve problems
- A doer mentality - you dig in, get stuff done, and can execute in fast-paced environments
- Excellent communication skills in English, with ability to translate technical concepts for both technical and business audiences
NICE TO HAVE'S
- Experience with AI/ML infrastructure
- Background in enterprise security and compliance.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: United States; New Jersey; Boston; Canada; New York; Washington, DC; Ottawa; Toronto; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
ABOUT NORTH:
North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
WHY THIS ROLE?
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.
We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
Note: between 20 - 40% travel anticipated.
IN THIS ROLE, YOU WILL:
- Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies
- Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance
- Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualization through production
- Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution
- Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams
- Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization
- Travel up to 20–40% to work on-site with customers and partners
YOU MAY BE A GOOD FIT IF:
- You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code
- You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute
- You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks
- You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency
- You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs
- You have experience owning the full scope of a use case end-to-end
- You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting
IT'S A BONUS IF YOU HAVE:
- Experience setting architectural standards for AI and agentic systems across distributed teams
- Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it
- Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)
- Experience with enterprise security, compliance, or auditability requirements for AI systems
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Canada; United States
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
We're looking for an Engineering Manager to lead our Deployment Engineering team. This isn't a typical management role — we need someone who leads from the front, gets their hands dirty, and drives impact. You'll manage a team of Forward Deployed Engineers who are on the front lines of deploying Cohere's North platform into customer environments. You should be ready to be a force to be reckoned with.
Location: North America (remote-first)
WHAT YOU'LL DO
- Lead and mentor a team of Forward Deployed Engineers
- Drive end-to-end deployment of North in private cloud and on-premises environments
- Take ownership of customer success from technical implementation through delivery
- Collaborate closely with Product, Engineering, and Sales to shape how we deliver AI to enterprises
- Mentor your team on cloud infrastructure, Kubernetes, and enterprise-grade deployments
- Optimize performance for OpenSearch, databases, and other K8s services
- Define scaling guidelines for GPU and CPU compute resources
- Build processes & technology that scales — we're growing fast.
WHAT WE'RE LOOKING FOR
- 5+ years of experience in software engineering with demonstrated leadership
- Hands-on experience deploying enterprise software at scale
- Strong expertise in cloud infrastructure (Azure, AWS, GCP)
- Experience with Kubernetes, Helm, and CI/CD pipelines
- High agency — you don't wait for permission to solve problems
- A doer mentality — you dig in and get stuff done
- Experience managing engineers in a fast-paced, high-growth environment
- Excellent communication skills in English.
NICE TO HAVE'S
- Fluency in additional European languages
- Experience with AI/ML infrastructure
- Background in enterprise security and compliance.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
As our Manager, Security Incident Response, you are at the center of how 1Password handles the moments that matter most. You will build and lead a team of builders: responders who don't just work incidents, but engineer the automation, tooling, and systems that make response faster and more scalable over time. You will guide program maturity, scale the team's capabilities through AI-assisted tooling, reinforce operational excellence, and step in as incident manager during complex, high-severity events. Success in this role blends strong people leadership with technical depth and sound judgment. As part of the Security leadership team, you will shape response strategy, build effective cross-functional partnerships, and help protect a product trusted by millions.
This role reports to the Senior Manager, Threat Operations.
How we’re using AI today
Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers.
This is a remote opportunity within Canada and the US.
What we're looking for:
• 5+ years in security incident response, with 2+ years as a people manager or technical leader supporting career development and performance management.
• Experience building or scaling incident response automation, tooling, or AI-assisted workflows (triage, enrichment, investigation), with sound judgment about where automation should and shouldn’t make decisions.
• Experience setting clear expectations, defining ownership, delegating work, and measuring outcomes.
• Experience managing high-pressure security incidents with clarity, structure, and calm.
• Strong understanding of cloud-native, SaaS, and identity-driven attack techniques and how to respond to them.
• Strong communication skills, including the ability to explain complex findings, tradeoffs, and recommendations to technical and non-technical audiences.
• Experience breaking down strategic initiatives into projects, coordinating team sprints, and managing work across competing priorities.
• Passion for fostering psychological safety and stability in stressful environments.
Who you are:
• A people-first leader who prioritizes team development, psychological safety, and performance.
• A builder at heart, someone who thinks in systems and automation, not just case queues, and hires and develops engineers with that same instinct.
• Proactive in identifying gaps, inefficiencies, or operational risks and bringing forward actionable solutions, including where AI or automation can close them.
• Effective at driving alignment across teams with differing priorities and perspectives.
• Calm and decisive during high-pressure situations, with the judgment to prioritize effectively and make difficult tradeoffs.
• A clear and transparent communicator who can align teams with differing priorities, surface tradeoffs, and advocate for sound security decisions.
• Motivated by protecting people, data, and the business.
What you can expect:
• Build, lead, and develop a team of incident responders and security builders, setting clear expectations, creating meaningful ownership, and supporting growth.
• Delegate effectively based on team strengths, development goals, capacity, and operational needs while maintaining accountability for outcomes.
• Define and drive the security incident response roadmap and strategic priorities, including maturing agentic incident response, structured threat hunting, and insider risk investigations as sustained, scaled capabilities rather than one-time builds.
• Balance competing priorities across incident response, strategic initiatives, and team development; make tradeoffs clear and push back when timelines, approaches, or requests create unnecessary risk or unsustainable workload.
• Scale team capacity through AI-assisted tooling and automation, maintaining appropriate controls around human judgment, approval, auditability, and rollback.
• Oversee detection, triage, containment, remediation, and post-incident learning, serving as an escalation point and incident manager for complex or high-severity events.
• Partner with Detection Engineering, Cyber Threat Intelligence, Red Team and other teams to improve cross-functional processes and close detection or response gaps identified through investigations.
• Evolve playbooks, training, tabletop exercises, metrics, and reporting to strengthen operational readiness and program maturity.
• Participate in the on-call rotation, serving as the leadership escalation or incident manager during major or complex incidents.
• Track and report on incident trends, operational metrics, and program maturity, including the impact of automation and AI tooling on response time and coverage.
USA-based roles only: The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $171,000 CAD and $248,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: Ottawa; Canada
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
ABOUT NORTH:
North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
WHY THIS ROLE?
Cohere’s team partners with Canadian public sector organisations to unlock transformative value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively to address complex societal challenges while maintaining the highest standards of data security and compliance. You will work directly with public sector customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors.
We are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI.
Location: Ottawa, 20-40% travel anticipated.
Security Clearance: Active Top Secret clearance strongly preferred; candidates eligible and willing to obtain clearance will also be considered. If you are ineligible for clearance there are other positions on our careers site that do not have this requirement.
More information about Canadian Security Clearance can be found here https://www.canada.ca/en/public-services-procurement/services/industrial-security/security-requirements-contracting/personnel-security-screening/processes/security-clearance-request.html.
In this role, you will:
- Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
- Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.
- Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
- Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.
- Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.
You may be a good fit if:
- You have experience with and enjoy working directly with customers
- You have experience deploying enterprise software in private/hybrid cloud environments
- You have proven experience administering production Kubernetes clusters and expertise with Helm
- Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control
- You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
- You excel in fast-paced environments and can execute while priorities and objectives are a moving target
- Familiarity with Canadian public sector security and compliance requirements (e.g., data sovereignty, access controls).
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
ОфисAthens
УдалённоRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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Houston, United States; We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities
УдалённоHyderabad, India
Texas City, United States; Oklahoma City, United States; Arkansas City, United States; Houston, United States; Experience working across multiple countries, offices and time zones
УдалённоFrance
УдалённоPoland
География найма не уточнена
География найма не уточнена
УдалённоToronto; New York
УдалённоUnited States; New Jersey; Boston; Canada; New York; Washington, DC; Ottawa; Toronto; Montreal
