Location: Dublin, IE; London, UK; New York City, NY; Remote-Friendly, United States
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We are looking for an Incident Response Manager to serve as the operational backbone of how Anthropic handles incidents. When things go wrong, you are the person who makes sure the right people are in the room, the right information is flowing, and nothing falls through the cracks.
The right person for this role brings structure and rigor to high-volume, high-stakes situations without waiting for a playbook to be handed to them. You will work across engineering, product, security, legal, go-to-market, and leadership to ensure Anthropic responds to incidents with speed, clarity, and accountability. This is not a role where you follow existing runbooks; it is a role where you write them, and where you operate effectively even when the runbook does not yet exist.
Responsibilities
Build the incident response management function, establishing the processes, tooling, and operational standards that define how we handle incidents at scale
Serve as an on-call incident commander, driving coordinated response across technical and non-technical stakeholders during incidents of varying severity, including managing multiple active incidents simultaneously
Engage the right people at the right time, with a strong sense of urgency, bringing order and direction to fast-moving, ambiguous situations
Own incident communications end-to-end, from real-time internal coordination to external channels like status pages, direct customer outreach, and stakeholder updates, ensuring they reflect Anthropic's commitments to safety, transparency, and accuracy
Participate in blameless incident reviews, contributing operational context and helping drive follow-through on critical remediations so the same class of incident does not recur
Partner with engineering teams to develop and maintain incident response policies, procedures, and escalation frameworks that scale with Anthropic's growth
Partner with engineering, product, security, legal, and go-to-market teams to continuously improve how the organization detects, responds to, and learns from incidents
You May Be a Good Fit If You
Have 5+ years of experience in incident management, with direct experience managing technical product or infrastructure incidents (not exclusively security or trust and safety)
Have built or significantly shaped an incident response program, ideally at a high-growth startup or in an environment where you had to create structure rather than inherit it
Demonstrate a strong sense of ownership and urgency, with the ability to operate independently and make sound decisions under pressure without waiting for direction
Are comfortable working in unprecedented situations where processes are still being defined and guidance may be incomplete or conflicting, leaving things better than you found them
Have a track record of effective cross-functional collaboration, particularly with engineering, security, legal, communications, go-to-market, and executive leadership
Bring a blameless, learning-oriented mindset to incident reviews, focused on systemic improvement rather than individual fault
Have experience with cloud infrastructure incidents and enough technical depth across the stack to engage meaningfully with engineering teams during response, including comfort navigating distributed systems, monitoring tools, and logs
Are analytically minded, with experience using data (incident metrics, queries, trend analysis) to inform decisions during response and to drive operational improvements over time
Communicate clearly and calmly under pressure, both in real-time coordination and in post-incident written communications
Thrive in high-volume, fast-paced environments and are energized by bringing operational discipline to complex, evolving situations
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:
$290,000
—
$365,000 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.
Dublin, IE; London, UK; New York City, NY; Remote-Friendly, United States
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 Human Data Platform team builds systems designed to collect data that improves our models. This includes the infrastructure to simulate real-world environments and tasks, novel interfaces for data vendors to use, and the pipelines that enable researchers to gather high-quality data at scale. As Claude's real-world usage evolves, so do our data needs — and our tooling has to keep pace. You'll work alongside an engineering team that's quickly prototyping and shipping, help make smart bets about where to focus, and ensure we're investing in tooling that scales. You'll work across research teams, data ops, and external vendors, translating what you learn into clear direction on what to build next.
Responsibilities
Own the product direction for our human data tooling, with clear prioritization across labeling interfaces, infrastructure investments, data quality, and operational visibility
Partner with engineering to scope and ship quickly, staying close to the work in a fast-moving prototyping environment
Develop a deep understanding of research and training approaches to identify where tooling investments will have the highest leverage
Identify patterns across one-off requests and push toward reusable infrastructure that compounds over time
Sit in on crowd worker and vendor sessions to systematically understand pain points
Define and track outcome-based KPIs: time-to-launch for new data collection projects, end-to-end data quality scores, and measurable impact on model evaluation scores
Minimum Qualifications
You May Be a Good Fit If You
Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well
Are drawn to ambiguous, high-stakes environments where you’ll play a big role in defining the product strategy
Shipped products where they had to deeply understand technical constraints, not just translate requirements
Experience working directly with research teams, ideally in AI/ML contexts
Are equally comfortable talking to crowdworkers about their workflow and to research teams about data quality methodology
Are a quick study—this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective
Have an interest in how humans interact with AI systems and how to design experiences that elicit high-quality data
Preferred Qualifications
Strong Candidates May Also Have
Experience building data collection tools, annotation platforms, or human-in-the-loop pipelines
Experience working with researchers who are internal users/customers
Good instincts and an eye for intuitive user experiences, particularly those involving complex UI interactions or annotation workflows
Strong project management skills: prioritization, communicating across team/org boundaries
The ideal candidate has the following virtues/values:
Have 5+ years in product management, with experience launching new products and scaling existing products.
Intellectual curiosity without ego: Comfortable not knowing things and asking questions to learn
Autonomous learning: Able to independently figure out how systems work and develop expertise quickly
Researcher EQ: Deep understanding of how researchers think and what motivates them
Product creativity: Ability to see novel product opportunities emerging from research capabilities
Founder mentality: Track record of doing whatever it takes to ship highly technical products
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:
$305,000
—
$385,000 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 research organization works across the full model development lifecycle, from pre-training and post-training to alignment, interpretability, and safety, each operating at the frontier of AI development. As a Technical Program Manager for Research, you'll define and build the programs that research teams need most. You'll move across research areas like compute, evals, RL environments, and emerging research initiatives, going deep enough in each to understand how researchers work and what they need. You'll identify where the biggest opportunities for impact lie, find the highest-leverage gaps, and build the programs, processes, and tooling that allow researchers to focus on research. This is a 0-to-1 role: you'll explore new domains as priorities shift, determine what each one needs, and create lasting impact where none existed before.
Note: This role may require responding to incidents on short-notice, including on weekends.
Responsibilities
Embed deeply within a research domain to understand the technical landscape, build trust with researchers and technical leaders, and identify the highest-leverage problems to solve, knowing the surface area will shift over time as research priorities evolve
Move fluidly across research areas like compute, evals, RL environments, and emerging research initiatives, picking up new domains quickly and getting to depth fast
Drive end-to-end execution of complex, ambiguous research initiatives spanning multiple teams, often without established playbooks or precedent
Establish processes and frameworks that bring structure to unstructured research environments without slowing researchers down
Lead efforts like large-scale compute resource planning, including allocation, efficiency, and prioritization across research and production workstreams
Drive eval readiness for model launches by standardizing results, shaping eval plans early, improving tooling, and ensuring honest, transparent reporting across research, product, and marketing
Own execution and operational health of RL environments across major training runs, coordinating cross-team trade-offs and feeding insights back into roadmap planning
Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations
Act as the connective tissue between research, engineering, and product teams to reduce chaos and accelerate execution
You May Be a Good Fit If You
Have a background in ML research or engineering with several years of experience building technical programs from scratch, ideally with hands-on exposure to training, evaluation, or large-scale distributed systems
Are a fast learner who can ramp on unfamiliar technical domains quickly and contribute meaningfully to discussions with researchers
Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in fast-moving research environments
Have a track record of operational ownership of complex technical systems, including monitoring, incident response, and performance optimization
Can reason about technical tradeoffs at depth across model architecture, training infrastructure, evals, or compute efficiency, and translate them into clear decisions for leadership
Have excellent stakeholder management skill and the ability to influence senior technical staff through competence and consistent delivery
Are comfortable with high-stakes environments where decisions impact compute spend, model training timelines, and launch outcomes
Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
Are excited to redefine what technical program management looks like at the frontier of AI research
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: San Jose, United States; Richardson, United States
Summary
Client is seeking a highly motivated and self-driven candidate qualified for the position of Signal Integrity Engineer to help design and build market leading Hardware Platform Solutions.
The Signal Integrity Engineer will play a critical role as the subject matter expert in the planning of digital PCB designs, simulation, lab verification, and troubleshooting signal integrity issues on completed designs. They will also be expected to help with design review of critical PCBs for signal integrity concerns. Good communications skills and ability to work with physically dispersed teams is a strong requirement.
Knowledge/Skills/Competencies
Experience on complex
PCBAs (36+ layers)
PCB design fundamentals
(single ended and differential signals), Signal loss, Impedance control, and Crosstalk (near end and far end)
Experienced with
single-ended and differential signaling
up to 50Gbps
Experienced working with
component models (touchstone files) and cascading models
to generate complete system models for simulation
Simulation of digital interfaces (
FPGA to DRAM, SERDES
interfaces)
Simulation of analog paths through a combination of PCB, connector, and cable (signal driver to DUT)
Proficient with
2D and 3D simulation tools (examples include ADS, ANSYS HFSS,
Sigrity)
Electrical length calculations for signal matching
Familiar with looking at signals in both frequency (S-parameter) and time domain and understanding how to interpret results when it comes to suitability for a particular application.
Very familiar with generating and interpreting data-eye diagrams up to 50Gbps: NRZ and PAM4
Proficient with
Allegro
or similar layout tool and schematics
PCB Stack up design and familiar with fabrication limitations and cost trade-offs
High Frequency board material experience
Significant experience with measuring signal performance in the lab:
TDR measurements and VNA measurements
Able to develop test fixtures for making measurements (both custom design test boards as well as making “adhoc” probing solutions to troubleshoot existing PCBs)
Expert in cost vs performance tradeoffs when designing signal paths as cost is key design constraint
Experience with
flex circuit design
for high speed signaling
Typical Experience
5-20+ years' experience
with High Speed Signal Delivery Design and Evaluation. This includes both signal integrity
within a PCB and off the board (board to board connectors, ribbon cables, coaxial cable, etc.).
Detailed Description
Define and Develop next generation technologies for Networking, server and storage products.
Provides innovative solutions to unusually complex and sensitive problems requiring ingenuity and creativity.
Serve as technical consultant and technical leader for their team.
Engage with customers and suppliers on and product roadmaps and support.
Communicates progress toward projects and program goals.
Strong ability to lead, motivate and direct a workgroup.
Proficiency in hardware systems environments and detail oriented.
Typical Education
Bachelor’s degree in Electrical Engineering, Master’s is preferred
Location: United States; United Kingdom; Canada
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech.
Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We’re looking a Go-To-Market (GTM) Engineer to support high-growth companies in executing and optimizing their revenue strategies. This is a highly technical, cross-functional role that blends sales engineering, marketing operations, and data automation to drive pipeline generation and revenue growth.
As a GTM Engineer, you’ll work closely with sales, marketing, and product teams to build scalable systems, optimize workflows, and implement tools that enhance go-to-market performance.
This is an ideal opportunity for someone looking for a remote tech sales job, RevOps role, or marketing automation career with strong growth potential.
Key Responsibilities
Build, implement, and optimize go-to-market systems and workflows across sales and marketing teams
Manage and integrate tools such as CRMs (e.g., HubSpot, Salesforce), outbound platforms, and analytics tools
Automate lead generation, enrichment, and outreach processes
Collaborate with Sales Development Representatives (SDRs) and Account Executives to improve pipeline efficiency
Develop dashboards and reporting systems to track performance metrics (conversion rates, CAC, pipeline velocity)
Support outbound campaigns through technical setup, A/B testing, and optimization
Maintain clean, structured, and scalable data pipelines
Troubleshoot technical issues across GTM tools and platforms
Requirements
2+ years of experience in GTM Engineering, Revenue Operations, Sales Ops, or Marketing Ops
Hands-on experience with CRM platforms (e.g., HubSpot, Salesforce)
Strong understanding of sales funnels, lead generation, and outbound strategies
Experience with automation tools (e.g., Zapier, Make, APIs)
Proficiency in data handling (Google Sheets, Excel, or SQL preferred)
Familiarity with outbound tools (e.g., Apollo, Outreach, Lemlist)
Analytical mindset with the ability to interpret and act on data
Strong communication skills and ability to work cross-functionally
Experience in SaaS, startups, or high-growth environments is a plus
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Team
Our Trading Product Group leads the design of all the products on OKX's derivatives trading exchange, including spot trading, spot margin, futures, leveraged tokens, trading options etc.
What You’ll Be Doing
AI Agent Review & Escalation -
Review AI agent outputs across risk monitoring workflows — assess findings for accuracy, identify false positives, and escalate risk events through the appropriate channels with clear, well-documented rationale.
Risk Patrol Operation -
Operate AI-assisted investigation workflows covering key risk metrics. Verify agent reasoning, identify analytical gaps, and ensure the quality output of investigations.
Market Abuse
Investigation
- Review AI-surfaced signals related to suspected market abuse, assess the validity, and escalate to the appropriate team with a structured findings report.
SOP Development & Agent Skill Authorship
- Translate frontline risk experience into structured SOPs and agent skill sets. Identify blind spots in current detection logic, document edge cases, and collaborate with the Product team to continuously improve automated coverage.
Risk System Quality Review
- Conduct regular reviews of agent performance — assessing output quality, surfacing systematic errors, and proposing refinements. Serve as a quality gate between automated risk outputs and business-level decisions.
Cross-Functional Risk Coordination
- Communicate escalated risk findings clearly to Product, Compliance, Legal, and Operations teams. Ensure AI-generated intelligence is accurately interpreted and translated into actionable, well-documented recommendations.
What We Look For In You
3+ years in trading risk, ideally at a crypto exchange or derivatives venue.
Deep knowledge of attack vectors: pump-and-dump, wash trading, liquidation suicide attacks, Sybil patterns, flash crashes.
Strong data intuition — Able to QA AI-generated analysis, spot anomalies in outputs, and challenge agent conclusions.
Comfort operating in an AI-augmented workflow: prompting agents, reading structured outputs, making final calls under time pressure.
Excellent judgment in ambiguous, high-pressure situations — You decide, the agent advises.
Cross-functional collaboration skills; able to work with PMs, engineers, and compliance.
Nice-To-Haves
Hands-on experience with LLM-based tools, SQL, or Python — Enough to validate AI-generated queries.
Personal trading experience or financial risk certification (FRM/CFA).
Mandarin proficiency for collaboration with technical teams.
Experience writing or refining risk SOPs or runbooks.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Team
Our Trading Product Group leads the design of all the products on OKX's derivatives trading exchange, including spot trading, spot margin, futures, leveraged tokens, trading options etc.
What You’ll Be Doing
AI Agent Review & Escalation -
Review AI agent outputs across risk monitoring workflows — assess findings for accuracy, identify false positives, and escalate risk events through the appropriate channels with clear, well-documented rationale.
Risk Patrol Operation -
Operate AI-assisted investigation workflows covering key risk metrics. Verify agent reasoning, identify analytical gaps, and ensure the quality output of investigations.
Market Abuse
Investigation
- Review AI-surfaced signals related to suspected market abuse, assess the validity, and escalate to the appropriate team with a structured findings report.
SOP Development & Agent Skill Authorship
- Translate frontline risk experience into structured SOPs and agent skill sets. Identify blind spots in current detection logic, document edge cases, and collaborate with the Product team to continuously improve automated coverage.
Risk System Quality Review
- Conduct regular reviews of agent performance — assessing output quality, surfacing systematic errors, and proposing refinements. Serve as a quality gate between automated risk outputs and business-level decisions.
Cross-Functional Risk Coordination
- Communicate escalated risk findings clearly to Product, Compliance, Legal, and Operations teams. Ensure AI-generated intelligence is accurately interpreted and translated into actionable, well-documented recommendations.
What We Look For In You
3+ years in trading risk, ideally at a crypto exchange or derivatives venue.
Deep knowledge of attack vectors: pump-and-dump, wash trading, liquidation suicide attacks, Sybil patterns, flash crashes.
Strong data intuition — Able to QA AI-generated analysis, spot anomalies in outputs, and challenge agent conclusions.
Comfort operating in an AI-augmented workflow: prompting agents, reading structured outputs, making final calls under time pressure.
Excellent judgment in ambiguous, high-pressure situations — You decide, the agent advises.
Cross-functional collaboration skills; able to work with PMs, engineers, and compliance.
Nice-To-Haves
Hands-on experience with LLM-based tools, SQL, or Python — Enough to validate AI-generated queries.
Personal trading experience or financial risk certification (FRM/CFA).
Mandarin proficiency for collaboration with technical teams.
Experience writing or refining risk SOPs or runbooks.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
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OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
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Candidate Privacy Notice
.
Location: Limassol Cyprus
Workplace: OnSite
Scorewarrior is a game developer and publisher based in Limassol, Cyprus. The company focuses on the 4X strategy genre, with an ambitious goal to grow its hit game, Total Battle, to become the No.1 strategy game in the world. Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games.
Our product: We are currently working on Total Battle — an MMO 4X strategy game with a deep political system and lots of player interaction. Players take on the role of a commander and need to develop their city, forge alliances, fight against monsters, and conquer other players. We're constantly developing new game mechanics, and the project is continuing to grow.
Our game project has a code base of ~300k SLOC and consists of multiple services running in several hundred instances. The game services are a sharded system for horizontal scaling.
Our team is looking for both Middle and Senior specialists with confident knowledge of C++ and design principles to work on creating new game features for a large-scale multiplayer project with long-term gameplay.
Our team's objective and the challenge they face is to create an outstanding technical design that ensures quality, flexibility, and simplicity in the development of in-game features.
Tasks:
- Design and implement solutions for new game mechanics — based on documentation from game designers, create a technical design and implement it.
- Prepare RFC documents describing your approach and discuss them with the team before implementation.
- Deliver your solution to production and ensure it runs smoothly by monitoring its behavior after deployment.
- Refactor and optimize existing functionality to improve performance, maintainability, and scalability.
- Perform code reviews for other team members and follow team coding guidelines and best practices.
- Create functional prototypes to validate ideas and mechanics when necessary.
- Write and maintain technical documentation for implemented features and decisions.
- Participate in team meetings and discussions to stay aligned on priorities and progress.
Requirements:
- Strong communication skills and initiative.
- 3+ years of experience developing in C++ in a product-oriented company
- At least 2 years of backend development experience (not necessarily in C++)
- Solid knowledge of software design principles and ability to apply them in practice.
- Ability to analyze and decompose complex tasks into smaller, manageable steps.
- Practical experience with network and multithreaded programming
- Practical experience with relational databases
- Proficiency in Linux environments for development and debugging.
- Knowledge or willingness to learn Python for developing tools and automation.
The following would also be to your advantage:
- Having samples of code that you can show us.
- Knowledge of other high-level programming languages (for general awareness).
- Practical experience applying Domain-Driven Design in real-world projects
- Hands-on experience building applications using Akka.NET http://Akka.NET, Microsoft Orleans, or similar actor-based frameworks
We use:
- C++20, Clang, and CMake.
- Boost — only for the library, not for game code.
- PostgreSQL.
- GitLab, TeamCity, Ansible.
- SonarQube, Clang-Tidy, Clang-Format.
- Onboarding, coding conventions.
- Python for utilities.
- Linux.
Our technical developments:
- A library/framework of ready-made solutions for creating game features.
- ORM — allows us not to have to write code for saving to the DB.
- A code generator for a binary RPC protocol and ORM.
- A pub/sub event system for game clients.
- Telemetry that allows for real-time product status tracking (through Grafana).
- An expression interpreter for flexibility in game configuration.
- HotReload environment, with everyday game updates.
- Sync and Async network designs.
- Internal Event System.
- Internal persistent and transactional message system.
- R-tree based world map.
What we offer and our benefits:
- A team of professionals with a passion for gamedev and a drive to make Total Battle the #1 strategy MMO game.
- An excellent remuneration package, including a 13th salary.
- Full relocation coverage for you and your family to Cyprus (Limassol).
- A modern, sunny office close to the sea.
- Private health insurance for you and your family members.
- A monthly pre-school, school, and university allowance for employees' children.
- Lunch compensation.
- A sports and fitness allowance.
- Company-funded personal development opportunities (professional and language courses, books, etc.).
- Bonuses for outstanding results, years of service, marriage, and childbirth.
- Friendly monthly office parties and epic annual offsite company birthday and Christmas celebrations.
Location: San Francisco, CA | Seattle, WA
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 production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. Decisions in production training depend on knowing how the model is really behaving. Our team's mission is to have the best observability into production post-training runs at Anthropic: to be the clearest, most trusted view of model quality during training. We shape what gets measured, keep the signal trustworthy and timely, and get to the bottom of surprising results to inform post-training and release decisions.
In this role you will lead the science of how we evaluate production training runs. You'll work out which measurements tell us something real about the model, notice when they stop doing so, and find what we should be measuring but aren't. You'll partner with research teams across every RL domain, bringing their priorities into what we measure and setting the standard for what makes an eval trustworthy across post-training. You'll also be hands-on with the eval fleet day to day, because the best questions about measurement come from watching real results come in during a live run.
Responsibilities
Steer the eval strategy for production Claude models: study and optimize the eval mix so it gives the most accurate and complete assessment of model quality
Run and monitor the eval fleet live to understand how each Claude model is developing as it trains
Advise teams across post-training on eval methodology, and help eval authors bring new evals up to the bar for production
Investigate regressions in production runs and inform training interventions when appropriate
Build the dashboards, alerts, and reports that researchers and leadership use to track model quality
You may be a good fit if you
Have designed, run, and analyzed evaluations for ML models at scale
Care deeply about measurement quality, thinking twice before trusting a number
Can turn ambiguous results into clear recommendations, and are comfortable influencing direction across teams
Have strong Python skills and are comfortable working with production systems
Maintain clarity and rigor when debugging complex, time-sensitive issues
Thrive in controlled chaos and are energized, rather than overwhelmed, when juggling multiple urgent priorities during a live training run
Care about the societal impacts of your work and about shipping frontier models responsibly
Strong candidates may also have
Hands-on experience post-training large language models
Research experience in ML evaluation or benchmarking
Background in statistics and experimental design
Experience developing robust evaluation metrics for ML systems
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:
$500,000
—
$850,000 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: South Africa; Pakistan; Philippines; Mexico; Colombia; Egypt
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include high-growth startups, digital agencies, and eCommerce brands in industries such as SaaS, MarTech, and DTC. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team.
About the Company
This opportunity is with a fast-scaling performance marketing agency that specializes in high-converting creative for paid social and digital advertising. The company partners with ambitious brands to drive growth through data-backed creative strategies, blending storytelling with performance analytics to maximize ROI.
Job Summary
We are looking for a Creative Strategis
t
to lead the ideation, testing, and scaling of high-performing marketing campaigns. This role is ideal for someone who can independently own creative direction while leveraging performance data to continuously optimize results.
If you're searching for remote marketing jobs, creative strategist roles, or digital campaign strategy positions, this is an exciting opportunity to work with a high-growth international team.
Key Responsibilities
Own the end-to-end creative strategy for paid media campaigns (Meta, Google, TikTok, etc.)
Lead creative ideation, testing frameworks, and iteration cycles for performance marketing
Collaborate cross-functionally with designers, copywriters, and media buyers to deliver high-converting creatives
Analyze campaign data and translate insights into actionable creative improvements
Conduct in-depth competitor and market research to inform campaign direction
Develop creative briefs, messaging frameworks, and scalable campaign concepts
Drive continuous optimization of ad creatives to improve CTR, CPA, and ROI
Mentor junior creatives or provide direction where needed
Requirements
3–4+ years of experience in a Creative Strategist, Performance Marketing, or similar role
Strong expertise in paid social platforms (Meta, TikTok, Google Ads)
Proven track record of scaling campaigns through creative testing and iteration
Experience leading creative direction and collaborating with cross-functional teams
Strong analytical skills with the ability to interpret data and make strategic decisions
Excellent communication, organization, and project management skills
Experience with analytics and reporting tools is highly preferred
Benefits
🌎 Fully remote role with flexible working environment
🚀 Work on high-budget campaigns for fast-growing global brands
📈 Clear path to Creative Director or Head of Creative roles
🎯 Performance-based bonuses tied to campaign success
🤝 Collaborative, high-performance marketing team
Location: Ipswich
Bradken is a leading solutions provider and global manufacturer of innovative, custom-engineered products for the resources sector. With a 3000-strong workforce, our ability to adapt and evolve keeps us positioned firmly as global leaders in the wear solutions market for the resources sector.
Here at Bradken, opportunities are determined and driven by you. We actively encourage and promote internal progression and self-development opportunities to those who champion the Bradken way and deliver great results.
About the Role
We are seeking an experienced
Welding Supervisor
to lead and oversee welding activities across our fabrication and repair operations. This role is responsible for ensuring all welding work is completed safely, efficiently, and in compliance with relevant Australian Standards and site requirements.
Key Responsibilities
Supervise day-to-day welding activities across workshop and/or site
Ensure compliance with
AS/NZS 1554
and applicable procedures
Review and implement Welding Procedure Specifications (WPS) and qualifications (PQRs)
Conduct quality inspections and coordinate NDT requirements
Provide technical guidance and mentoring to welders and trades personnel
Coordinate workflow to meet production and project deadlines
Maintain safety standards and promote a strong safety culture
Liaise with engineering, QA, and operations teams
About You
Trade qualification in Boilermaking / Fabrication
Proven experience in a Welding Supervisor or Leading Hand role
Strong understanding of Australian welding standards and QA requirements
Supervisor qualifications (e.g. Cert IV in Engineering or equivalent) highly regarded
Experience in mining, heavy fabrication, or OEM environments preferred
Ability to read and interpret technical drawings and welding procedures
Strong leadership and communication skills
Desirable
Welding Supervisor certification (e.g. WTIA / IIW)
Experience with hardfacing, wear packages, or heavy mobile equipment
Familiarity with robotic welding or automated processes (advantageous)
What We Offer
Competitive salary package + site allowances
Stable, long-term work with reputable clients
Opportunities for career progression
Supportive team environment with strong safety focus
How to Apply
Click
Apply Now
or submit your resume and a brief cover letter outlining your experience.
Location: New York, United States
Assistant Project Manager
Luxury Residential Construction | NYC Tri-State Area
Our client is a well-established General Contractor specializing in high-end residential construction and renovation in Manhattan and the surrounding Tri-State area. Their portfolio includes townhouses, condominiums, and private residences built to the highest standards of craftsmanship and finish. They are seeking an Assistant Project Manager to support a Project Manager on one or more active projects.
Role Summary
The Assistant Project Manager is the lead administrative partner to the Project Manager, responsible for the orderly flow of information between the GC, subcontractors, vendors, and the design team. The APM owns the project documentation, supports budget and schedule tracking, and helps drive day-to-day coordination from pre-construction through close-out.
Key Responsibilities
Maintain project schedules and flag potential delays to the Project Manager and Superintendent.
Manage the RFI, submittal, and shop drawing process, including logs and follow-up.
Prepare and track change orders, commitment documents, and subcontractor agreements.
Support trade buy-out and proposal development; assist with minor scope buy-outs directly.
Reconcile job costs against budget and coordinate with accounting on client invoicing. • Maintain drawing sets, specifications, and all project files in both physical and electronic form.
Prepare meeting agendas, attend job site and client meetings, and produce meeting minutes.
Produce daily logs and transmittals; keep documentation current and accessible.
Assist with punch list development and close-out deliverables, including owner manuals.
Interface with the design team, subcontractors, and suppliers to keep the project moving.
Qualifications
1-3 years of experience as an Assistant Project Manager in high-end residential or comparable commercial construction.
Bachelor's degree in Construction Management, Architecture, Engineering, or a related field preferred.
Working knowledge of construction terminology and the ability to read and interpret drawings and specifications.
Proficiency in Procore, Microsoft Project, Excel, Word, and Outlook.
Familiarity with Bluebeam, AutoCAD, or similar drawing tools is a plus.
Strong written and verbal communication skills; comfortable with design teams and sophisticated clients.
Highly organized, detail-oriented, and able to manage multiple priorities across overlapping projects.
Team-oriented with a professional presence on the job site and in the office.
Salary: $75,000 – $100,000 / year
Location: United States; Rochester, United States
Position Title:
Pediatric Pathologist
Department:
Pathology / Laboratory Medicine
Job Summary
The Pediatric Pathologist is a specialized physician responsible for diagnosing diseases in fetuses, infants, children, and adolescents through the examination of tissues, organs, and bodily fluids. This role combines expert laboratory analysis with clinical collaboration to provide accurate diagnoses that guide patient management and treatment.
Key Responsibilities
Perform macroscopic and microscopic examination of pediatric tissue specimens, including biopsies, resections, and autopsies.
Provide accurate and timely diagnostic reports for pediatric surgical pathology, hematopathology, and cytopathology.
Collaborate with pediatricians, surgeons, oncologists, and other clinical teams to discuss findings and implications for patient care.
Participate in multidisciplinary case conferences and tumor boards.
Oversee and ensure quality control in laboratory testing and procedures, adhering to regulatory and safety standards.
Interpret laboratory tests, including molecular and genetic studies, as relevant to pediatric conditions.
Engage in teaching and training of residents, fellows, medical students, and laboratory staff.
Contribute to clinical research, quality improvement initiatives, and academic publications in pediatric pathology.
Maintain professional credentials and stay updated with advances in pediatric pathology and diagnostic techniques.
Qualifications
MD, DO, or equivalent medical degree with board certification in Anatomic Pathology (AP) or Anatomic and Clinical Pathology (AP/CP).
Subspecialty training or fellowship in pediatric pathology preferred.
Board certification or eligibility in Pediatric Pathology.
Strong diagnostic skills in pediatric surgical pathology, hematopathology, and cytopathology.
Knowledge of molecular pathology techniques and pediatric-specific disease processes.
Excellent communication and collaboration skills for working with multidisciplinary teams.
Commitment to academic activities, teaching, and research.
Skills and Competencies
Exceptional analytical and diagnostic capabilities.
Attention to detail and precision in laboratory work.
Ability to handle high-pressure situations and urgent cases.
Strong organizational and documentation skills.
Leadership skills for managing laboratory staff and mentoring trainees.
Work Environment
Hospital-based pathology department or academic medical center.
Regular exposure to pediatric specimens, some potentially infectious or hazardous.
Combination of laboratory, clinical, and educational responsibilities.
Location: Costa Mesa, United States
WHAT YOU'LL DO
Conduct EMI/EMC testing and analysis on electronic systems and components.
Drive product maturity through rapid prototyping, design verification, and qualification activities.
Develop and implement design strategies to mitigate EMI/EMC issues.
Prepare test plans, reports, and documentation for compliance verification.
Collaborate with product design teams to ensure EMC requirements are integrated during the design phase.
Identify program EMI/EMC risks and define strategies for reducing risk through the definition of modeling, simulation, or experimental activities.
Stay updated on relevant standards (e.g., MIL-STD-461G, MIL-STD-464D, DOD-160, FCC, CISPR, IEC) and regulatory requirements.
Conduct field tests and assessments to evaluate product performance in real-world environments.
Work in a fast-paced environment, having to juggle multiple concurrent projects and customers.
REQUIRED QUALIFICATIONS
Bachelor’s degree in Electrical Engineering, Electronics, or a related field.
7+ years of experience in EMI/EMC design and testing.
Familiarity with EMC/EMI standards and regulations (e.g., MIL-STD-461G, MIL-STD-464D, RTCA DOD-160, FCC, IEC, CISPR, SAE).
Proven expertise in E3 design, analysis, testing and mitigation strategies. Specialized in HERO, HEMP, Lightning Protection, ESD, RF exposure limits and operational electromagnetic compatibility.
Proficiency in using EMI/EMC testing equipment (e.g., spectrum analyzers, oscilloscopes, antennas, LISN etc.)
Experience with simulation tools (e.g., ANSYS, CST Microwave Studio) for EMI analysis.
Strong analytical and troubleshooting skills for identifying and resolving EMI/EMC issues.
Excellent verbal and written communication skills for reporting findings and collaborating with teams.
Ability to manage multiple projects and meet deadlines in a fast-paced environment.
Full understanding of PCB Layout techniques to meet mechanical, electrical, EMI/EMC, and manufacturing requirements.
Ability to read and interpret schematics and apply best practices appropriate for each design.
Familiarity with standard interfaces such as MIPI, DP, I2C, SPI, PCIe, USB, etc.
Must be able to obtain and maintain a DoD Secret Clearance
Location: Goodyear, United States
Workplace: onsite
Role type: Part-time
Location: Goodyear, Arizona
Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all. Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning. We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success. Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide.
Avila University Arizona is seeking dedicated and qualified Adjunct Instructors to join our faculty in Goodyear, Arizona. As an Adjunct Instructor, you will teach online and hybrid graduate courses. The ideal candidate possesses strong industry experience and technical proficiency in selected field and is passionate about mentoring adult learners in accelerated graduate programs.
When applying, please specify in your Cover Letter which subject areas you are applying for. Successful candidates will be added to our adjunct faculty pool. Teaching assignments for the upcoming terms, which runs through January 2027, will be distributed from this pool based on course availability and enrollment.
Subject areas:
1. Artificial Intelligence, Data Science & Analytics
Faculty may teach courses in areas such as:
Artificial Intelligence and Machine Learning
Deep Learning and Generative AI
Natural Language Processing and Computer Vision
Data Science and Predictive Analytics
Business Intelligence and Data Visualization
Big Data and Cloud Analytics
2. Project Management & Operations
Faculty may teach courses in areas such as:
Project Management and Agile Methodologies
Operations and Supply Chain Management
Process Improvement and Six Sigma
Strategic Leadership and Organizational Management
Project Tools, Technologies, and Analytics
Candidates applying for PM & Operations must have a valid PMP certificate.
3. Healthcare Administration & Health Informatics
Faculty may teach courses in areas such as:
Healthcare Systems and Administration
Health Informatics and Digital Health Systems
Electronic Health Records and Interoperability
Healthcare Policy, Law, and Ethics
Healthcare Finance and Strategic Management
Healthcare Data Analytics and Decision Support
4.
Data Science, Analytics & Business Intelligence
Faculty may teach courses in areas such as:
Foundations of Data Science & Analytics
Statistical Analysis for Business
Data Mining & Predictive Modeling
Business Intelligence & Data Warehousing
Data Visualization & Storytelling
Big Data Technologies & Cloud Computing
Strategic Decision Making with Analytics
Data Science Capstone & Industry Internship
5. Core Business
Faculty may teach courses in areas such as:
Foundations of Data Science & Analytics
Statistical Analysis for Business
Data Mining & Predictive Modeling
Business Intelligence & Data Warehousing
Data Visualization & Storytelling
Big Data Technologies & Cloud Computing
Strategic Decision Making with Analytics
Data Science Capstone & Industry Internship
Summary of role:
Instruction & Delivery
Deliver high-quality online and hybrid instruction using in-person, synchronous and asynchronous methods.
Utilize best practices in teaching for online, accelerated adult graduate programs.
Employ effective teaching strategies that accommodate diverse student abilities, professional backgrounds, and learning styles.
Integrate real-world business datasets and industry case studies into course curriculum to ensure practical applicability.
Mentorship & Student Support
Assist students in navigating challenges encountered during their coursework, providing actionable feedback and solutions.
Foster a collaborative learning environment where students are encouraged to reflect on their technical practice and innovate.
Collaboration & Coordination
Collaborate with university faculty and program directors to ensure curriculum alignment with current industry trends in the subject areas.
Participate in faculty meetings and professional development activities to stay updated on best practices in STEM education and emerging AI technologies.
Professional Development
Engage in ongoing professional development to enhance expertise in instructional technologies, instructional methods, and assessment practices.
Stay informed about current research and trends in the subject area, incorporating relevant knowledge into course content.
Administrative Duties
Maintain accurate records of student grades, project evaluations, and attendance within the university’s learning management system.
Ensure compliance with university academic standards and accreditation requirements.
Assist in the coordination of programmatic assessments to monitor the effectiveness of the curriculum.
Qualifications:
Required: Doctorate in the related field. A master’s degree with significant (10+ years) professional industry experience in the subject area will be considered in lieu of a doctorate.
Required: Minimum of 5 years of professional experience applying subject concepts in a business or research setting.
Preferred: Prior teaching, training, or adjunct faculty experience in related subjects.
Demonstrated ability to communicate complex management concepts clearly to diverse audiences.
Ability to facilitate virtual team simulations and guide students through conflict resolution and negotiation scenarios.
Excellent communication, collaboration, and time-management skills.
Familiarity with working on real-world business datasets and solving industry-specific problems.
Terms of Employment:
FLSA Status:
Exempt
Communication:
Maintains communication with various Faculty, staff, and external constituents in the performance of role. Must be professional in all communications as a representative of the senior administrative team. Utilizes existing technology effectively in the performance of duties.
Reasoning Ability:
Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
Language Skills:
This position requires the ability to read, write, understand and communicate in English. Functions of the job include: pertinent laws, codes, policies, and/or regulations; personnel processes; curriculum adoption process; program planning and development; and learning styles and curriculum models. Ability is required to schedule a number of activities, meetings, and/or events; often gather, collate, and/or classify data; and use job-related equipment. Flexibility is required to independently work with others in a wide variety of circumstances; analyze data utilizing defined but different processes; and operate equipment using standardized methods. Ability is also required to work with a significant diversity of individuals and/or groups; work with data of widely varied types and/or purposes; and utilize a variety of job-related equipment. Independent problem solving is required to analyze issues and create action plans. Problem solving with data frequently requires independent interpretation of guidelines; and problem solving with equipment is moderate to significant.
Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, be mobile in an office environment, stand, read, use a keyboard, and communicate audibly in person and by telephone and video technology. Specific vision abilities required by this job include close vision, distance vision, and depth perception.
Work Environment:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate and is a standard acceptable level for this environment.
Other Skills/Abilities:
Ability to establish and maintain effective working relationships with university employees, community members, external parties, Board members, and senior administrators; ability to speak clear and concisely in written or oral communication and ability to maintain professional decorum.
Evaluation:
Performance of this position will be evaluated in accordance with Avila University policy.
The information contained in this description is for compliance with the Americans with Disabilities Act (A.D.A.) and is not an exhaustive list of the duties performed for this position. The individual currently holding this position performs additional duties and additional duties may be assigned.
Avila University is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, national origin, sex, age, tenure, disability or any other factors that cannot be lawfully considered in its programs and activities as required by all applicable laws and regulations.
Avila University reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions or assign additional responsibilities.
We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search.
GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.
Our data privacy policy can be viewed
here
.
Location: Goodyear, United States
Workplace: onsite
Role type: Part-time
Location: Goodyear, Arizona
Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all. Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning. We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success. Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide.
Avila University Arizona is seeking dedicated and qualified Adjunct Instructors to join our faculty in Goodyear, Arizona. As an Adjunct Instructor, you will teach online and hybrid graduate courses. The ideal candidate possesses strong industry experience and technical proficiency in selected field and is passionate about mentoring adult learners in accelerated graduate programs.
When applying, please specify in your Cover Letter which subject areas you are applying for. Successful candidates will be added to our adjunct faculty pool. Teaching assignments for the upcoming terms, which runs through January 2027, will be distributed from this pool based on course availability and enrollment.
Subject areas:
1. Artificial Intelligence, Data Science & Analytics
Faculty may teach courses in areas such as:
Artificial Intelligence and Machine Learning
Deep Learning and Generative AI
Natural Language Processing and Computer Vision
Data Science and Predictive Analytics
Business Intelligence and Data Visualization
Big Data and Cloud Analytics
2. Project Management & Operations
Faculty may teach courses in areas such as:
Project Management and Agile Methodologies
Operations and Supply Chain Management
Process Improvement and Six Sigma
Strategic Leadership and Organizational Management
Project Tools, Technologies, and Analytics
Candidates applying for PM & Operations must have a valid PMP certificate.
3. Healthcare Administration & Health Informatics
Faculty may teach courses in areas such as:
Healthcare Systems and Administration
Health Informatics and Digital Health Systems
Electronic Health Records and Interoperability
Healthcare Policy, Law, and Ethics
Healthcare Finance and Strategic Management
Healthcare Data Analytics and Decision Support
4.
Data Science, Analytics & Business Intelligence
Faculty may teach courses in areas such as:
Foundations of Data Science & Analytics
Statistical Analysis for Business
Data Mining & Predictive Modeling
Business Intelligence & Data Warehousing
Data Visualization & Storytelling
Big Data Technologies & Cloud Computing
Strategic Decision Making with Analytics
Data Science Capstone & Industry Internship
5. Core Business
Faculty may teach courses in areas such as:
Foundations of Data Science & Analytics
Statistical Analysis for Business
Data Mining & Predictive Modeling
Business Intelligence & Data Warehousing
Data Visualization & Storytelling
Big Data Technologies & Cloud Computing
Strategic Decision Making with Analytics
Data Science Capstone & Industry Internship
Summary of role:
Instruction & Delivery
Deliver high-quality online and hybrid instruction using in-person, synchronous and asynchronous methods.
Utilize best practices in teaching for online, accelerated adult graduate programs.
Employ effective teaching strategies that accommodate diverse student abilities, professional backgrounds, and learning styles.
Integrate real-world business datasets and industry case studies into course curriculum to ensure practical applicability.
Mentorship & Student Support
Assist students in navigating challenges encountered during their coursework, providing actionable feedback and solutions.
Foster a collaborative learning environment where students are encouraged to reflect on their technical practice and innovate.
Collaboration & Coordination
Collaborate with university faculty and program directors to ensure curriculum alignment with current industry trends in the subject areas.
Participate in faculty meetings and professional development activities to stay updated on best practices in STEM education and emerging AI technologies.
Professional Development
Engage in ongoing professional development to enhance expertise in instructional technologies, instructional methods, and assessment practices.
Stay informed about current research and trends in the subject area, incorporating relevant knowledge into course content.
Administrative Duties
Maintain accurate records of student grades, project evaluations, and attendance within the university’s learning management system.
Ensure compliance with university academic standards and accreditation requirements.
Assist in the coordination of programmatic assessments to monitor the effectiveness of the curriculum.
Qualifications:
Required: Doctorate in the related field. A master’s degree with significant (10+ years) professional industry experience in the subject area will be considered in lieu of a doctorate.
Required: Minimum of 5 years of professional experience applying subject concepts in a business or research setting.
Preferred: Prior teaching, training, or adjunct faculty experience in related subjects.
Demonstrated ability to communicate complex management concepts clearly to diverse audiences.
Ability to facilitate virtual team simulations and guide students through conflict resolution and negotiation scenarios.
Excellent communication, collaboration, and time-management skills.
Familiarity with working on real-world business datasets and solving industry-specific problems.
Terms of Employment:
FLSA Status:
Exempt
Communication:
Maintains communication with various Faculty, staff, and external constituents in the performance of role. Must be professional in all communications as a representative of the senior administrative team. Utilizes existing technology effectively in the performance of duties.
Reasoning Ability:
Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
Language Skills:
This position requires the ability to read, write, understand and communicate in English. Functions of the job include: pertinent laws, codes, policies, and/or regulations; personnel processes; curriculum adoption process; program planning and development; and learning styles and curriculum models. Ability is required to schedule a number of activities, meetings, and/or events; often gather, collate, and/or classify data; and use job-related equipment. Flexibility is required to independently work with others in a wide variety of circumstances; analyze data utilizing defined but different processes; and operate equipment using standardized methods. Ability is also required to work with a significant diversity of individuals and/or groups; work with data of widely varied types and/or purposes; and utilize a variety of job-related equipment. Independent problem solving is required to analyze issues and create action plans. Problem solving with data frequently requires independent interpretation of guidelines; and problem solving with equipment is moderate to significant.
Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, be mobile in an office environment, stand, read, use a keyboard, and communicate audibly in person and by telephone and video technology. Specific vision abilities required by this job include close vision, distance vision, and depth perception.
Work Environment:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate and is a standard acceptable level for this environment.
Other Skills/Abilities:
Ability to establish and maintain effective working relationships with university employees, community members, external parties, Board members, and senior administrators; ability to speak clear and concisely in written or oral communication and ability to maintain professional decorum.
Evaluation:
Performance of this position will be evaluated in accordance with Avila University policy.
The information contained in this description is for compliance with the Americans with Disabilities Act (A.D.A.) and is not an exhaustive list of the duties performed for this position. The individual currently holding this position performs additional duties and additional duties may be assigned.
Avila University is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, national origin, sex, age, tenure, disability or any other factors that cannot be lawfully considered in its programs and activities as required by all applicable laws and regulations.
Avila University reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions or assign additional responsibilities.
We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search.
GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.
Our data privacy policy can be viewed
here
.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run.
Responsibilities
Build and improve the RL training infrastructure that researchers depend on day-to-day
Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster
Own the reliability and performance of research runs end-to-end
Contribute to design decisions that shape how Anthropic does RL at scale
You may be a good fit if you
Have strong software engineering fundamentals and a track record of building performant, reliable systems
Have worked on ML infrastructure, distributed systems, or research tooling
Care about enabling other people's work and find leverage through platforms rather than individual experiments
Are comfortable operating across the stack, from low-level performance work to RL algorithms
Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego
Strong candidates may also have
Experience with large-scale distributed training (RL, pre-training, or post-training)
Familiarity with JAX, PyTorch, or similar ML frameworks
A track record of operating at the edge of research and infra in a fast-moving environment
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£370,000
—
£630,000 GBP
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.
San Francisco, CA | New York City, NY
San Francisco, CA | New York City, NY
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