Location: Singapore; Malaysia; Philippines; Indonesia; Vietnam; Thailand
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Job
We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems.
In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code.
We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability.
LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC
COMMITMENT: Approximately 15 hours per week
SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred.
COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary.
Key Responsibilities
Create and solve technically rigorous scientific problems within your area of specialization.
Develop reproducible Python-based analyses, models, simulations, and data-processing workflows.
Analyze and interpret biological or biomedical datasets using appropriate computational methods.
Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility.
Identify errors in scientific reasoning, computational methods, assumptions, and code implementation.
Apply relevant statistical and computational techniques to validate research findings.
Document methodologies, assumptions, and solutions in a clear and structured manner.
Requirements
Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field.
Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments.
Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation.
Ability to independently write, understand, debug, and validate Python code.
Experience working with scientific or biological datasets and interpreting computational results.
Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions.
Excellent written English and the ability to communicate complex scientific concepts clearly.
Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Job
We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems.
In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code.
We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability.
LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC
COMMITMENT: Approximately 15 hours per week
SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred.
COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary.
Key Responsibilities
Create and solve technically rigorous scientific problems within your area of specialization.
Develop reproducible Python-based analyses, models, simulations, and data-processing workflows.
Analyze and interpret biological or biomedical datasets using appropriate computational methods.
Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility.
Identify errors in scientific reasoning, computational methods, assumptions, and code implementation.
Apply relevant statistical and computational techniques to validate research findings.
Document methodologies, assumptions, and solutions in a clear and structured manner.
Requirements
Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field.
Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments.
Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation.
Ability to independently write, understand, debug, and validate Python code.
Experience working with scientific or biological datasets and interpreting computational results.
Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions.
Excellent written English and the ability to communicate complex scientific concepts clearly.
Location: United States; Canada; Australia; New Zealand; United Kingdom
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Job
We are looking for accomplished Competitive Data Scientists, Machine Learning Engineers, and Applied Mathematics Specialists with a proven track record in data science competitions, particularly on Kaggle and similar platforms.
This opportunity is designed for candidates who have achieved at least Kaggle Expert ranking, including Masters and Grandmasters, and can demonstrate strong practical skills in machine learning, statistical modeling, quantitative reasoning, and programming.
You will use your competition experience to design challenging, reproducible technical tasks that require genuine problem-solving rather than plausible-looking answers. Your work will involve building execution environments, implementing verified reference solutions, developing reliable evaluation criteria, and testing how AI Coding Agents perform against complex data science challenges.
A verifiable Kaggle profile with Expert, Master, or Grandmaster ranking is a key qualification. Strong practical coding and debugging abilities are essential. Previous AI training experience is not required.
LOCATION:
Remote – US, Canada, Australia, New Zealand, UK
WORKLOAD:
Approximately 15 hours per week.
SCHEDULE:
Flexible; choose your working days and hours, including weekends.
PROJECT:
AI training focused on competitive data science, machine learning, and reproducible technical problem-solving.
AI EXPERIENCE:
Not required.
Key Responsibilities
Design challenging data science and machine learning tasks inspired by real-world problems and competitive data science scenarios.
Build reproducible execution environments, prepare datasets, configure dependencies, and implement verified reference solutions.
Develop automated tests and evaluation criteria that distinguish correct solutions from incomplete, incorrect, or unreliable approaches.
Use coding agents to execute assigned tasks, investigate their failures, and evaluate their problem-solving capabilities.
Identify implementation errors, flawed assumptions, data leakage, statistical inconsistencies, and other issues affecting solution correctness.
Apply competitive data science techniques and mathematical reasoning to validate solutions.
Ensure tasks have clear requirements, reliable expected outputs, and reproducible verification procedures.
Refine task difficulty and evaluation methods based on observed coding-agent performance.
Document task specifications, solution methodologies, technical reasoning, and verification steps.
Review and improve task quality to ensure scientific and computational accuracy.
Requirements
Demonstrated experience in competitive data science, machine learning, quantitative modeling, or applied mathematics.
Kaggle profile with at least Expert ranking (Master or Grandmaster ranking strongly valued).
Ability to provide a verifiable Kaggle profile demonstrating competition achievements and ranking.
Strong understanding of machine learning, statistical modeling, data analysis, and quantitative problem-solving.
Practical programming ability, particularly in Python.
Ability to independently implement, test, debug, and verify data science solutions.
Experience working with datasets, computational environments, and relevant machine learning libraries.
Strong analytical reasoning and the ability to explain technical decisions.
Ability to identify data leakage, implementation flaws, and methodological errors.
Excellent written communication and technical documentation skills.
Professional English communication skills.
Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Job
We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges.
This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions.
We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures.
Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities.
Previous experience in AI model training is not required.
LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC
WORKLOAD: Approximately 15 hours per week.
SCHEDULE: Flexible; choose your working days and hours, including weekends.
COMPENSATION: Output-based, with payment per task that meets project specifications.
PROJECT: AI training focused on real-world hardware engineering problems.
AI CODING AGENT EXPERIENCE: Mandatory.
Key Responsibilities
Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios.
Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods.
Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving.
Use programming and engineering software to model, simulate, analyze, and validate hardware systems.
Develop Python scripts and other computational tools to automate engineering calculations and validation workflows.
Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints.
Validate engineering models and simulation results against experimental or physical test data.
Develop and apply verification and testing methodologies.
Investigate complex hardware failures, identify root causes, and recommend corrective actions.
Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving.
Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable.
Requirements
Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline.
Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis.
Demonstrated ownership of substantial engineering work, such as:
Taking a hardware product or subsystem into production.
Validating engineering models against physical testing.
Developing engineering test or verification systems.
Diagnosing and resolving complex hardware failures.
Mandatory hands-on experience working with AI Coding Agents.
Strong practical programming skills and the ability to independently write, understand, debug, and execute code.
Experience using programming languages or engineering tools relevant to hardware development and analysis.
Ability to connect first-principles engineering knowledge with practical design and operational constraints.
Strong quantitative, analytical, and technical reasoning skills.
Ability to produce clear, technically accurate, and independently verifiable engineering solutions.
Strong written and spoken English communication skills.
Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Job
We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows.
This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows.
Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic.
Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions.
Previous AI experience is not required.
LOCATION:
Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC
WORKLOAD:
Approximately 15 hours per week.
SCHEDULE:
Flexible; choose your working days and hours, including weekends.
COMPENSATION MODEL:
Output-based, with payment per task that meets project specifications.
PROJECT:
AI training focused on aerodynamics, CFD, engineering simulation, and Python.
AI EXPERIENCE:
Not required.
Key Responsibilities
Solve and validate complex aerodynamic and fluid dynamics problems.
Translate physical engineering requirements into computational models and solver-ready cases.
Create or modify geometries, computational domains, and meshes.
Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings.
Execute CFD and aerodynamic analysis workflows using command-line-accessible tools.
Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation.
Develop scripts and computational workflows for engineering analysis.
Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics.
Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results.
Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs.
Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations.
Document technical methodologies, engineering decisions, and simulation results.
Requirements
Candidates should meet one of the following educational pathways:
Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids.
Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience.
Additional requirements:
Strong understanding of fluid mechanics and applied aerodynamics.
Practical experience formulating and executing CFD or aerodynamic analyses.
Strong practical proficiency in Python, including the ability to write and debug code independently.
Experience using Python for scientific computing, engineering automation, or computational analysis.
Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API.
Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings.
Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results.
Strong quantitative, analytical, and problem-solving skills.
Ability to communicate technical reasoning and engineering trade-offs clearly.
Professional English proficiency at C1 level or higher.
Location: Malaysia; Singapore; Philippines; Indonesia; Vietnam; Thailand
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Job
We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows.
This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows.
Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic.
Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions.
Previous AI experience is not required.
LOCATION:
Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC
WORKLOAD:
Approximately 15 hours per week.
SCHEDULE:
Flexible; choose your working days and hours, including weekends.
COMPENSATION MODEL:
Output-based, with payment per task that meets project specifications.
PROJECT:
AI training focused on aerodynamics, CFD, engineering simulation, and Python.
AI EXPERIENCE:
Not required.
Key Responsibilities
Solve and validate complex aerodynamic and fluid dynamics problems.
Translate physical engineering requirements into computational models and solver-ready cases.
Create or modify geometries, computational domains, and meshes.
Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings.
Execute CFD and aerodynamic analysis workflows using command-line-accessible tools.
Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation.
Develop scripts and computational workflows for engineering analysis.
Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics.
Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results.
Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs.
Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations.
Document technical methodologies, engineering decisions, and simulation results.
Requirements
Candidates should meet one of the following educational pathways:
Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids.
Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience.
Additional requirements:
Strong understanding of fluid mechanics and applied aerodynamics.
Practical experience formulating and executing CFD or aerodynamic analyses.
Strong practical proficiency in Python, including the ability to write and debug code independently.
Experience using Python for scientific computing, engineering automation, or computational analysis.
Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API.
Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings.
Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results.
Strong quantitative, analytical, and problem-solving skills.
Ability to communicate technical reasoning and engineering trade-offs clearly.
Professional English proficiency at C1 level or higher.
Location: United States; Canada; Australia; New Zealand; United Kingdom
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Job
We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows.
This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows.
Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic.
Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions.
Previous AI experience is not required.
LOCATION:
Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC
WORKLOAD:
Approximately 15 hours per week.
SCHEDULE:
Flexible; choose your working days and hours, including weekends.
COMPENSATION MODEL:
Output-based, with payment per task that meets project specifications.
PROJECT:
AI training focused on aerodynamics, CFD, engineering simulation, and Python.
AI EXPERIENCE:
Not required.
Key Responsibilities
Solve and validate complex aerodynamic and fluid dynamics problems.
Translate physical engineering requirements into computational models and solver-ready cases.
Create or modify geometries, computational domains, and meshes.
Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings.
Execute CFD and aerodynamic analysis workflows using command-line-accessible tools.
Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation.
Develop scripts and computational workflows for engineering analysis.
Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics.
Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results.
Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs.
Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations.
Document technical methodologies, engineering decisions, and simulation results.
Requirements
Candidates should meet one of the following educational pathways:
Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids.
Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience.
Additional requirements:
Strong understanding of fluid mechanics and applied aerodynamics.
Practical experience formulating and executing CFD or aerodynamic analyses.
Strong practical proficiency in Python, including the ability to write and debug code independently.
Experience using Python for scientific computing, engineering automation, or computational analysis.
Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API.
Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings.
Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results.
Strong quantitative, analytical, and problem-solving skills.
Ability to communicate technical reasoning and engineering trade-offs clearly.
Professional English proficiency at C1 level or higher.
Location: Cornell Center Animal Hospital - Beaverton, Oregon
POSITION SUMMARY:
This is a critical position that plays a key role in driving the performance of a veterinary hospital. Creates, drives and maintains a practice environment that facilitates the delivery of quality, compassionate, and efficient healthcare to animals. This position oversees the business and staff aspects of the practice and has responsibility for all support and operational functions, such as human resource, financial, operational, and business activities. In partnership with the Medical Director, this position communicates a vision of excellence and oversees a profitable operation.
WHAT YOU’LL DO (Essential Functions):
Hospital Administrators play a key role in driving the performance of a veterinary hospital in partnership with the Area Manager and Medical Director. This position oversees the business and staff aspects of the practice and has responsibility for overseeing all support and operational functions, such as human resources, financial, operational, and business activities, with support from Lakefield. Hospital Administrators are expected to be available to team members during the hospital’s operational hours and this is a 40 hour per week, onsite position. Below are the essential functions of the job:
Champion Hospital Values and Culture:
Foster a positive, collaborative, and high-performing workplace culture grounded in our core values:
Respect, Learning, Do the Right Thing, WOW Service, and Fun.
Practice Operations:
Partner with hospital leadership to create and maintain an environment that supports the efficient delivery of high-quality veterinary care. Serve as the primary point of contact for the hospital’s day-to-day business and operational functions.
Strategic Planning and Business Development:
Collaborate with hospital leadership and organizational partners on strategic planning, business development, operational initiatives, and long-term growth opportunities.
Financial Management and Performance:
Take responsibility for the financial performance of assigned hospital(s). Develop and implement strategies to achieve revenue, profitability, and other financial goals. Monitor performance, identify opportunities for improvement, and communicate financial results and priorities to the hospital team.
Business Analytics and Reporting:
Monitor key performance indicators, including daily revenue, average invoice amount, transaction volume, labor costs, and other operational metrics. Prepare and communicate regular reports and summaries to support informed decision-making and accountability.
Team Leadership and Performance Management:
Lead, coach, mentor, and develop direct-report team members. Provide ongoing feedback, recognition, and performance management; conduct evaluations; address performance or behavioral concerns; and establish clear expectations for success.
Employee Development and Engagement:
Promote professional growth by encouraging continuing education, job-related training, and opportunities for team members to expand their knowledge and skills. Foster employee engagement, accountability, and ownership of hospital goals.
Recruitment, Hiring, and Onboarding:
Participate in the recruitment, selection, and hiring of hospital team members. Support effective onboarding and orientation by communicating job responsibilities, performance expectations, policies, procedures, and appropriate use of equipment and resources.
Human Resources and Compliance:
Manage day-to-day human resources matters and maintain current knowledge of applicable federal, state, and local employment laws and regulations. Ensure hospital practices remain compliant with organizational policies and legal requirements.
Veterinary Team Support and Scheduling:
Partner with veterinarians, medical leaders, and support teams to promote effective collaboration and patient care. Oversee and assist with doctor and staff scheduling to ensure appropriate staffing and operational coverage.
Marketing and Client Growth:
Collaborate with the hospital team to develop and execute marketing initiatives that support business objectives and strategic goals. Ensure programs and promotions are implemented, tracked, and evaluated for effectiveness, making adjustments as appropriate.
Facilities and Equipment:
Oversee the maintenance, functionality, and overall condition of the hospital facility, equipment, and physical environment. Coordinate repairs, maintenance, and replacement needs as necessary.
Regulatory and Safety Compliance:
Maintain current knowledge of applicable regulatory requirements and ensure compliance with OSHA, DEA, and other relevant federal, state, and local regulatory agencies. Promote a safe, compliant, and professional workplace.
Quality and Operational Improvement:
Identify opportunities to improve hospital processes, efficiency, client service, team performance, and overall patient care. Work collaboratively with hospital leadership and team members to implement sustainable improvements.
WHAT WE’RE LOOKING FOR (Essential Qualifications):
Education
:
Bachelor’s Degree or AA in related field or equivalent work experience. Experience in the veterinary field is a plus. Licensed Veterinary Technicians with leadership and business minded qualities and experience are welcome to apply!
Experience
:
• 2+ years of experience in overall operations, financial and facilities management, and/or Human Resources
• This includes two years of job-specific experience in a hospital management role within the veterinary or human health industry
• Experience leading a large team of individuals preferred
Knowledge, Skills and Ability:
Knowledge of applicable state, federal, and local employment, safety, and regulatory laws and requirements.
Ability to lead, manage, coach, and develop employees and departments effectively.
Ability to work collaboratively with hospital leaders and cross-functional teams to achieve shared goals.
Strong verbal, written, and active listening communication skills.
Ability to present information clearly, concisely, and effectively in both verbal and written formats.
Ability to interact professionally and effectively with a diverse range of clients, employees, and stakeholders.
Strong interpersonal and technical skills with the ability to connect people and ideas to achieve desired outcomes.
Ability to build and maintain productive relationships and partnerships with internal teams and external stakeholders.
Strong organizational and time-management skills, with the ability to manage multiple priorities, projects, and deadlines.
Ability to handle sensitive and confidential information with discretion and professionalism.
Strong critical thinking, sound judgment, and effective problem-solving skills.
Ability to adapt to changing situations, priorities, and work environments while maintaining effectiveness.
Ability to proactively identify challenges, evaluate options, and develop practical solutions.
SUPERVISORY RESPONSIBILITIES:
Supervisory responsibility for all of the team members at the hospital other than doctors. Works
with the veterinary leadership to co-supervise medical support staff.
COMPENSATION and BENEFITS:
Base salary between $60,000 - $75,000 (Final compensation will be determined based on experience, skills, qualifications, geographic location, and internal equity.)
License reimbursement
Uniform allowance
Health insurance
401(k) matching
Paid time off
Vision insurance
Health savings account
Dental insurance
Disability insurance
To learn more about the role and to apply, email Joe Rusk at
joe.rusk@lakefieldvet.com
or apply here:
Find Your Career - Lakefield Careers
About Lakefield Veterinary Group
We believe exceptional veterinary care starts with exceptional people. We partner with hospitals across the country to preserve what makes each practice special - its people, culture, and connection to community - while providing the operational support, resources, and strategic leadership that allow teams to thrive. As we grow, we remain committed to creating an environment where team members feel respected, supported, and empowered to deliver outstanding care.
Our Values
Our culture is built on five core values that guide us in the way we work:
Respect
Learning
Do the right thing
Wow service
Fun
We expect all team members to actively demonstrate these values in their daily work and interactions.
Equal Employment Opportunity
Lakefield Veterinary Group is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all team members and applicants. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable law.
Location: Australia
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Manager, Security Operations Center
Location: Remote Australia
Compensation Range: $180,000 to $215,000 AUD base plus bonus and equity.
What You’ll Do:
As our Principal SOC Analyst in Australia, you're the most senior technical voice on the APAC SOC floor, working Monday to Friday. You'll take ownership of the hardest intrusions, turn what the floor sees every day into durable detection and product improvements, and raise the bar for every analyst around you. You'll lead by example as a cultural driver for the team, and you'll help build our Human Led Agentic SOC, where agents handle volume and humans own quality. You'll work closely with Product, Product Research and Detection Engineering & Threat Hunting. We'll also support you in publishing your research through Huntress blogs, webinars and conference talks.
Responsibilities:
Own complex, multi-host intrusions end to end, from triage through forensic timelining, root cause and remediation, across endpoint, identity (Microsoft 365 / Google Workspace) and SIEM telemetry
Act as the SOC's technical partner to Product, Product Research and DE&TH: turn recurring floor pain points into lasting detection, suppression and product fixes rather than workarounds
Perform advanced static and dynamic malware analysis, research emerging tradecraft, and publish findings through Huntress content
Find repeatable investigation patterns and toil, then design, build and maintain both automation and human-led agentic workflows with Workflow Engine owners, Product and Engineering, with inline QC/QA built in from the start
Own quality on the floor: grade AI agent and analyst output, trace misses to their root cause and fix them at the source, and act as final technical reviewer on detection tuning, suppression decisions and high-impact incident reports
Provide technical leadership and mentoring across every level of the team: set investigation standards, run case reviews, ride-alongs and knowledge sessions, advise the Senior Manager on SOC direction, and help assess candidates in the hiring process
Be a cultural driver for the team: model Give a $hit, Warrior Spirit and Outcome-Obsessed, keep a low-ego, share-everything team culture, and champion the “agents handle volume, humans own quality” mindset
Handle threat-related escalations from SOC Support, writing clear explanations of complex activity and its business risk for technical and non-technical audiences
What You Bring To The Team:
6+ years in SOC, Incident Response, DFIR or MDR roles, including leading multi-host intrusion investigations
Deep knowledge of attacker tradecraft across MITRE ATT&CK (credential access, lateral movement, persistence, defense evasion, living-off-the-land) and how to detect it
Deep forensic and investigation experience across Windows, macOS and Linux
Strong cloud identity investigation and remediation experience in Microsoft 365 / Entra ID and Google Workspace
Advanced static and dynamic malware analysis, including extracting IOCs and determining capability and intent
Strong enterprise Windows administration (Active Directory, Group Policy, PowerShell, domain trusts) and core networking knowledge
Strong hands-on AI skills: daily use of tools such as Claude and Codex for analysis, research and building automation and agentic workflows (Python, PowerShell or similar), with sound judgment about validating their output
Understanding of inline quality delivery: building QC/QA into workflows as they run (quality gates, statistical sampling, drift detection and regression testing) rather than relying on after-the-fact review
Proven technical leadership and mentoring: you've raised the standard of a team, not just your own work, and you explain complex findings clearly in writing and verbally
Preferred Qualifications:
Published research, blogs, conference talks or open-source security tooling
Detection engineering experience: writing and tuning detections and SIEM queries
Investigations in other cloud platforms such as Azure, AWS or GCP
Previous MSP/MSSP/MDR experience and familiarity with RMM tools
What We Offer:
Fully remote work
At least one annual trip to the US for Summer Summit, with additional local events in Australia!
New starter home office set up reimbursement ($800 AUD)
12 weeks paid parental leave for both primary and secondary carers
Monthly digital allowance for personal phone and internet costs ($185 AUD)
Monthly home office tech stipend to upgrade or replace equipment ($40 AUD)
Subsidised private health insurance through our preferred provider
Stock options for
all
full-time employees
Access to the BetterUp platform for coaching, personal, and professional growth
People from all culturally diverse backgrounds, including Aboriginal & Torres Strait Islander Peoples, are encouraged to apply.
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Location: Remote, Worldwide
Workplace: remote
About Distru
Distru is the #1 ERP in the cannabis industry with $15B in sales processed through our platform. We've built a battle-tested ERP and B2B eCommerce platform that powers inventory, manufacturing, sales, and logistics, and we're now building AI infrastructure on top of it to give commercial businesses their all-in-one AI stack.
We're growing and profitable, with 5/5 stars on Glassdoor. Our investors include Felicis Ventures, Global Founders Capital, Poseidon Asset Management, and Village Global, who have funded companies such as Shopify, Cruise, HelloFresh, Facebook, Slack, and Opendoor.
Get to know the team, our culture and our full benefits at distru.com/careers!
The Role
AI is at an inflection point for enterprise use, and AI assistants like Claude, Codex, and Grok are seeing record adoption at work. We believe the system of record has never been more valuable for organizing the data AI acts on.
We started with our AI Order Agent, now rolled out across our customer base, which lets buyers submit orders from any source in any format. It's the first piece of a much bigger agentic ecosystem we’re building, and we're moving most of our engineering effort to AI-first work to build it.
You'll work directly with our Director of AI Engineering to own the technical buildout of our AI product suite, including:
Agentic harness: a multi-agent system that safely operates across a business's core tools (ERP, CRM, spreadsheets, calendars, email, analytics, compliance systems)
MCP: our MCP that connects Distru to external AI harnesses
Context Layer: our context layer that ingests customer data, builds memories and profiles, and feeds back into our harness to create more personalized AI experiences for our customers
Evals: the eval suites that make our agents reliable in production
And more…
You’ll be working directly on the AI system from the ground up and make strong, opinionated calls on the agentic stack and where it goes next. The AI space moves fast and the specifics will change, so this technical vision is something you'll mold.
You'll report to the VP of Engineering and the Director of AI Engineering, and work closely with the rest of the product team, eng team, and our customers.
What you'll do
Agentic engineering
Architect and build a production multi-agent system that can safely take actions across Distru and our customer’s core systems
Iterate and maintain the MCP that connects Distru to Claude & Codex.
Own reliability, observability, and durable execution end to end. The harness takes real actions on customers' data, so the bar is high.
Write evals to improve our agentic systems from real customer use cases
Build a unified data system that pulls data from multiple sources into a singular data layer that can be exposed to Claude & Codex via an MCP
Build a contextual memory system that ingests our customers' data and improves how our agents work for them
Set the architectural standards for how agents are built, tested, and shipped at Distru, and bring the rest of eng along
AI research & experimentation
Keep pace with the latest agentic frameworks, harnesses, toolkits, models, and bring in better approaches as they emerge
Rapidly prototype new ideas to present to our team and our customers
Engineering workflow
Build hands-on with Claude Code and similar tools as part of your own workflow
Improve our agentic coding workflow and bring new discoveries to the team
What success looks like at 6 months
You've shipped core improvements to our harness in production that our customers use daily, with clear observability and iteration for improvement
You’ve shipped and iterated on many MCP tools and improvements
Every agent you own has an eval suite and observability, so the team catches regressions before customers do
You own the architecture of the agentic stack, and other engineers build against patterns you set
You’ve built prototypes on how our agentic infrastructure can improve (i.e. a new way to retrieve memories, an agentic onboarding process for our customers)
You’ve raised the technical bar on at least one thing the team was doing the slow way
What we look for
AI fluency
For every AI role, we look for three things:
Tool fluency:
you build with Claude Code or similar every day, you've built your own skills, agents, or workflows, and you can explain why your setup looks the way it does.
Workflow fluency:
you write evals before you trust a prompt, and you know when a model is the wrong tool and plain code is the right one.
Build fluency:
you've put agents in front of real users, with guardrails, observability, and a way to roll back.
You use AI tools daily and can tell us specifically where your fluency is strong and where you're still building it.
Must have
7+ years
in full-stack development, ideally on B2B SaaS applications
Multi-agent harnesses:
hands-on experience building multi-agent harnesses in production, not just prototypes or personal projects
MCPs:
you've built MCPs that are used in production
Production systems:
a strong grasp of reliability, observability, permissions, and safe workflow execution
Product and engineering:
you've operated as both, and you're comfortable owning scoping and decisions, not just implementation
Modern stack:
proficiency in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph, and you pick up new tools and frameworks quickly
Startup agility:
you've worked at an early-stage startup (under 20 engineers) and you’ve been the one setting direction in that ambiguity, not waiting for it
Low ego:
you're team-first and measure success by what shipped and whether it worked, not by internal politics
Influence
: you’ve shaped roadmap, not just executed it
Clear communication:
you raise concerns and propose solutions before being asked
Strong signal
Background building supply chain, ERP, CRM, B2B marketplace, or accounting software
UX design experience
Agentic systems work beyond the must-haves, such as evaluation frameworks or agent-to-agent protocols
Experience using Claude Code (or similar) to build products on your own
Cannabis industry experience
How we work
We love building with AI.
Trying new models the week they drop, building agents for fun, and forming strong opinions on what works. We invest in it with company-wide AI growth with classes and workshops, AI demo days, AI hackathons, and access to best-in-class models and tools.
Taste in building.
A lot of this role comes down to knowing what to build, what to cut, and what a great agentic experience feels like for the user.
We stay close to the customer.
You'll talk to customers and our GTM team directly, not through a chain of tickets.
You'll build on what we've learned.
You'll have access to the team's combined AI knowledge and the processes and skills we've built.
For the full picture of our culture and who thrives here, see
distru.com/careers
.
Benefits
Our careers page is the best way to get to know us: the full benefits, our yearly offsites, who thrives here, and what the team says about working at Distru.
Here are a few highlights (exact benefits vary by country and employment type):
Fully remote across 4 continents
Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave
18 days PTO + 11 holidays (sick days don't count toward PTO)
Medical, dental, vision + 401(k) for US employees
The best AI tools available and a generous AI stipend for everything else
Yearly in-person team offsites
Interview process
Application questions: three short written questions in Lever on how you build with LLMs
Recruiter screen (30 min): your background, the most complex AI product you've worked on, and your personal AI tool stack
Technical interview (45–60 min): a deep dive into a complex product you've built, a live harness design discussion, and a screen-share walkthrough of your day-to-day setup
Harness take-home (3–4 hours): spec a real feature on our agentic harness across product and UX, system design, and implementation details
Take-home review (60 min): a technical deep dive into your submission with two engineers, including how your design holds up when a constraint changes
References and offer
Distru was formed by an environment of mutual respect and trust made up by people working together without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by law. We believe that diversity and inclusion among our team members is critical to our success and we proactively strive to recruit, develop and retain the best and brightest people from the most diverse candidate pools we can find all over the world.
Where you land in the range depends on your experience and skills.
Location: Toronto; Europe; Canada; London; United States; New York; United Kingdom; Atlanta
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!
Why This Role?
This role is the critical bridge that amplifies Cohere’s ability to execute from its deployed engineering teams into the partner ecosystem at scale. You will be the single point of influence who takes the high quality of our engineering delivery and extends it outward, ensuring that system integrator partners can deliver Cohere solutions with the same rigor, reliability, and innovation as our internal teams.
As an Adoption Specialist, you will design, build, maintain, and deliver certification programs that validate partner expertise across infrastructure and agentic domains. You will report functionally into Customer Education & Transformation, with a dotted line into the Forward Deployed Engineering teams (Infrastructure and agentic), ensuring that every certification, every training program, and every competency standard reflects the latest innovation and the highest standards of delivery.
We are seeking a unique individual: someone who is customer obsessed, has a background in infrastructure engineering with the technical grit and expertise to be a de facto member of the deployed engineering teams, while also bringing commercial acumen to scale these capabilities across the partner ecosystem. You will be the conduit between our internal engineering excellence and the broader market, and you will be the face of this program in front of partner networks and communities.
In this role, you will:
- Design, build, and maintain certification programs for system integrator partners across both infrastructure and agentic tracks, ensuring they reflect current technical realities and future innovation. This includes train-the-trainer programs with key system integrators that can certify on our behalf.
- Develop deep subject matter expertise in end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. As well as assess infrastructure, security requirements, and data management practices.
- Develop deep subject matter expertise in applied AI across 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
- Collaborate with Forward Deployed Engineering teams on a dotted line basis to ensure certification content stays current with product innovation and hands-on development.
- Collaborate with Product to ensure requirements are adapted into the core product.
- Create dynamic training programs and enablement assets that drive self-service enablement and partner competency, building educational content specifically for developers.
- Deliver the certification and education program publicly, serving as the face of this initiative to partner networks, partner communities, and customer communities, with the exposure and visibility that comes with representing Cohere’s technical excellence externally.
You may be a good fit if your experience covers the following areas:
- Execution flexibility in fast-paced environments, with the ability to work across infrastructure, and agentic areas.
- Infrastructure and cloud expertise including enterprise software deployment in private/hybrid cloud environments, production Kubernetes administration, Helm, DevOps practices, CI/CD pipelines, and version control.
- Agentic and LLM stack expertise encompassing production-grade Python software development, RAG and agentic applications using patterns like ReAct or Plan-and-Execute, and robust evaluation framework design.
- Developer relations and community engagement, including public speaking, presenting, with a natural comfort with visibility and being the face of technical initiatives.
- Experience building enablement or education content specifically for developers.
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: Washington, District of Columbia, United States
Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world.
At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded.
About the Position
Dexis is
seeking
a senior financial and procurement leader to oversee
financial management
, procurement, subcontract administration, and compliance for a large U.S. Government-funded program
s
. This position is contingent upon a
ward.
Responsibilities
Lead budgeting, forecasting, expenditure tracking, and burn-rate monitoring.
Oversee financial reporting, invoicing, reconciliations, and internal controls.
Manage vendor procurement, price analysis, and subcontract award and administration processes.
Ensure compliance with applicable FAR requirements, federal cost principles, and contractual requirements.
Maintain audit-ready financial and procurement documentation.
Monitor subcontractor financial compliance and performance.
Identify and mitigate financial, procurement, and subcontract-related risks.
Provide financial and procurement guidance to program leadership.
Qualifications
Bachelor’s degree in Finance, Accounting, Business Administration, or a related field.
12+ years of progressively responsible financial management experience supporting U.S. Government-funded contracts.
Experience managing financial operations for large, complex contracts, including contracts greater than $50M.
Experience with FAR-based procurement and subcontract management.
Strong knowledge of cost-reimbursement contracting and federal cost principles.
Strong analytical, compliance, and documentation skills.
International or multi-country financial management experience preferred.
Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research
, our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs.
Dexis pay range for this role:
$140,000
—
$170,000 USD
Benefits
Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for
full-time, US-based
positions only. These benefits include:
Medical and prescription drug coverage:
A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents.
Dental insurance:
Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits.
Company-paid vision insurance:
Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis.
Employer-funded health reimbursement arrangement (HRA):
Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses.
Company-paid life and disability insurance:
Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage.
Optional supplemental insurance:
Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents.
Employee Assistance Program (EAP):
Company-paid access to confidential counseling and legal and financial support resources for employees and their families.
Health and wellness resources:
Virtual care, behavioral health resources, and wellness programs available through the medical plan.
Benefits assistance:
Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center.
Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements.
Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you?
If you are passionate about this opportunity, apply now!
Only those applicants who meet the above criteria will be contacted for interview.
Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.
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
There are close to a billion knowledge workers in the world, and only a small fraction of them have worked with AI that makes them better at what they do. In the enterprise, reaching the rest depends on the IT, security, and business leaders who decide whether to adopt AI, and the admins who decide how it's deployed, governed, and scaled across their organizations. They ask hard questions before they say yes, and this role owns how we answer them.
We're looking for a Product Marketing Manager to own positioning for Claude's core knowledge-work products (Chat, Cowork, and the broader non-coding suite) for enterprise decision makers and admins. You'll work across the areas that matter most to enterprise customers today: security and observability, workspace management and deployment controls, and pricing and packaging. You'll own the materials that help a decision maker or admin understand what's possible, roll Claude out with confidence, and make the case internally, including product launches, the website, pitch decks, battlecards, persona narratives, pricing and packaging story, and admin communications. Beyond making the case for adopting AI, you'll help the people accountable for deploying it do that safely, and show them exactly how to put it to work across their organizations.
This is an individual-contributor role for someone who loves the hands-on work of product marketing, on products with enormous, established usage and a fast launch cadence. You'll write the positioning doc, build the battlecard, and ship the persona work yourself, and you'll use Claude to keep it all current, so the teams that depend on it can trust it.
This role is for you if you've owned the full product marketing stack for a widely used enterprise product and know how to speak credibly to business, IT, and security audiences. You probably also turn your own PMM work into systems rather than one-off documents, and you want your writing to be the reason enterprise decision makers and admins say yes to rolling out and scaling Claude.
Key responsibilities
Define the story that earns enterprise trust.
Own the positioning and messaging house for Chat, Cowork, and Claude's core knowledge-work products for admins, so every deck, campaign, and piece of content makes the same case for adopting and scaling Claude.
Own the story for how enterprises run Claude.
Lead positioning and launches across security and observability, workspace management, and the controls for managing deployments, working with Product to turn new capabilities into clear reasons to adopt and expand.
Give sellers the conviction to close.
Build and maintain the sales enablement assets (pitch decks, battle cards, objection handling) that help GTM answer security, deployment, and pricing questions with confidence.
Help decision makers and admins make the call.
Own the proof points, comparisons, and narratives that help decision makers, admins, and their IT and security teams evaluate Claude and justify the investment and rollout internally.
Make our pricing and packaging easy to understand and buy.
Partner with Product, Finance, and GTM on how we present plans, pricing, and packaging for Claude Enterprise, and build the cost and value story that helps customers make the case to scale.
Make sure the message reaches the right person, in their language.
Develop ICP and persona frameworks that cover a varied base of enterprise decision makers and admins (executive buyers, IT, security, compliance, and workspace owners) in enough detail to shape messaging and campaigns for each one.
Make our website answer buyers' questions.
Own the website and product page messaging for Claude Enterprise, including how we present admin controls, security, governance, and plans and pricing. It's often where a buyer or admin decides whether to take a closer look.
Turn scattered wins into a playbook others can run.
Build libraries of top enterprise deployment and admin use cases by product and by function or industry, so the best examples of successful rollouts become patterns anyone can copy.
Prepare admins for what's next.
Partner with Product and Comms on enterprise launches so admins know what's changing, what controls they have, and what to do next, through clear admin communications, help content, and ongoing education.
Keep every team telling the same story.
Partner closely with GTM, Marketing, and Partners so they're always working from current, consistent materials.
"Claudify" our own foundations.
Use Claude, including Skills and automations, to build systems that keep positioning, messaging, personas, and enablement current, so you're working the way we ask our customers to work.
Support analyst relations.
Contribute materials for the enterprise knowledge-work portfolio where they overlap with your positioning and messaging work.
Minimum qualifications
Have owned positioning and messaging for an established enterprise software product, with decision makers and IT, security, or admin teams as a core audience
Have worked on enterprise pricing and packaging, including how plans are presented, how changes are communicated, and how the value story holds up with buyers
Have built ICP and persona frameworks and translated research into messaging that works across websites, collateral, campaigns, and content
Have built sales enablement assets and worked directly with sales teams on objection handling and win/loss analysis
Understand how enterprises evaluate, buy, deploy, and govern software, including identity and access, security and compliance review, data governance, observability, workspace management, and usage and spend controls
Have strong writing and storytelling skills, with the ability to make technical topics clear and adapt tone and complexity across formats like pitch decks, web copy, battlecards, and admin communications
Are comfortable operating autonomously as an IC, writing and shipping assets directly rather than through a team
Demonstrate systems thinking, and the ability to move fast and with conviction in an always-evolving environment
Are well-versed in using AI, especially Claude, to inform and automate product marketing work, and have built systems that update PMM foundations and share them with the teams who depend on them
Have experience marketing AI or productivity software to enterprise decision makers and IT, security, or admin audiences
Preferred qualifications
7+ years of product marketing experience with experience as a Senior PMM or PMM Lead at an enterprise productivity, collaboration, or knowledge-work software company with ownership of admin, security, platform, or pricing positioning
Experience marketing to customers in regulated industries (e.g., financial services, healthcare)
Experience building admin education or community programs
Experience with analyst relations processes and reports (e.g., Gartner, Forrester)
Experience with usage-based or consumption pricing
Role-specific policy:
For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation.
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:
$255,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York, NY
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about finding
innovative solutions to complex technical problems
, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role
As a Staff Security Engineer, you will shape and deliver Duolingo’s security strategy, safeguarding our learners, employees, systems, and services. You’ll identify the highest-impact security problems, lead complex initiatives from proposal through production, and build durable security capabilities across our applications and cloud infrastructure. Working across Engineering, Product, Legal, Finance, and IT, you’ll make practical risk decisions, establish secure-by-default patterns, and help teams ship safely at scale. This role is based in New York City. We know great candidates bring different combinations of experience. If you meet some or most of the qualifications below, we encourage you to apply!
:brain: You will...
Set technical direction for security across Duolingo’s applications, cloud infrastructure, and engineering systems.
Lead complex, multi-team security initiatives from problem definition and design through implementation, measurement, and ongoing ownership.
Design and build scalable security services, controls, and automation that prevent, detect, and remediate risks with minimal manual effort.
Partner with engineering teams to threat model systems, review architecture and code, prioritize risks, and deliver practical mitigations.
Strengthen security across the software-development lifecycle, including secrets management, dependency security, vulnerability management, and CI/CD controls.
Evaluate Duolingo’s security posture, use evidence to identify the highest-impact investments, and define measurable outcomes for security programs.
Lead technical response to significant security incidents and translate lessons learned into lasting improvements.
Establish reusable secure-by-default patterns for cloud and application infrastructure, including infrastructure as code.
Communicate technical risks, tradeoffs, and recommendations clearly to engineering teams and company leaders.
Mentor engineers, scale security knowledge through documentation and guidance, and raise the technical bar across Engineering.
:check: You have...
A track record of leading large, complex security engineering initiatives across multiple teams from proposal through production.
Deep experience in at least two of the following areas: application security, product security, cloud security, infrastructure security, detection and response, or security automation.
Strong software-engineering skills in one or more programming or scripting languages and experience building reliable production systems or internal platforms.
Experience securing cloud environments and designing controls for identity, networking, data protection, secrets, logging, and workload security.
Experience applying threat modeling, architecture review, code review, and vulnerability analysis to real-world systems.
Experience using infrastructure as code and CI/CD to deliver repeatable, testable, and secure configurations.
Sound judgment in balancing security risk, engineering effort, product needs, and business priorities.
Clear written and verbal communication skills, including the ability to influence stakeholders with different technical backgrounds.
The ability to work from or relocate to New York City.
:star: Exceptional candidates will have...
Experience building a security program or technical capability from an early stage and scaling it across an engineering organization.
Experience securing large, multi-account or multi-cloud environments, particularly AWS and GCP.
Experience creating security platforms or paved-road patterns adopted broadly by engineers.
Experience leading high-severity incident response and driving durable improvements afterward.
Experience applying AI-assisted tooling to security analysis, remediation, or control validation.
The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role!
Salary Range:
$204,000
—
$306,000 USD
Benefits:
Take a peek at how we care for our employees' holistic well-being with our benefits
here
.
Job Alerts:
Sign up for job alerts
here
.
Accommodations:
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact
accommodations@duolingo.com
.
Equal Employment Opportunity:
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Fraud Warning:
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
By applying for this position your data will be processed as per the
Duolingo Applicant Privacy Notice
.
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.
At 1Password, our purpose is to build a safe, simpler digital future for everyone. As a Senior Staff Performance Marketing Manager, you’ll lead multi-channel paid Business-to-Business (B2B) strategy that supports our sales-led growth motion, helping reach enterprise and mid-market audiences and turn marketing investment into qualified pipeline and revenue. Reporting to the Director of Performance Marketing, this role is open to candidates based in the United States or Canada.
How we’re using AI today
On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights faster so we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password.
This is a remote opportunity within Canada and the US.
What we're looking for:
• 8+ years of experience in performance marketing, demand generation, or growth marketing.
• Hands-on experience managing paid channels such as affiliates, paid social, display, native, programmatic, direct buys, or emerging channels.
• Experience supporting a sales-led growth motion and connecting marketing activity to Marketing Qualified Leads (MQLs), Sales Qualified Leads (SQLs), pipeline, and revenue.
• A track record of driving measurable pipeline and revenue impact through paid B2B programs.
• Strong analytical skills and the ability to make thoughtful decisions using incomplete or imperfect data.
• Experience partnering with campaign, analytics, marketing operations, or other cross-functional teams to improve performance.
• Experience marketing complex technical products to audiences such as developers, information technology (IT) professionals, or other technical decision-makers. Experience in cybersecurity or familiarity with artificial intelligence (AI) tools and automated workflows is also a plus.
What you can expect:
• Own the B2B performance marketing and demand generation strategy for a sales-led growth motion, aligning paid programs with pipeline and revenue objectives.
• Develop annual and quarterly roadmaps informed by business goals, audience insights, performance trends, and experimentation results.
• Manage paid channels and platforms end to end, from strategy and execution through optimization, reporting, and continuous improvement.
• Evaluate Return on Investment (ROI), marginal returns, and channel performance to guide budget shifts, scaling decisions, and investment strategy.
• Monitor leading indicators such as leads, MQLs, conversion rates, and Cost per Lead (CPL), as well as downstream pipeline, opportunity volume, and revenue influence.
• Design, execute, and analyze experiments across audiences, channels, creative, offers, and funnel stages, translating results into scaled programs and clear recommendations.
• Partner with Global Campaigns, Analytics, Marketing Operations, and external vendors to improve lead quality, strengthen campaign performance, and share actionable insights.
USA-based roles only: The annual base salary for this role is between $157,000 USD and $228,000 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 $133,000 CAD and $183,000 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: Los Angeles, USA
Riot is building the capabilities to carry AI and machine learning from promise, through prototype, into reliable production systems. AI Foundations helps make that possible by building shared platforms and enabling teams across Riot to deliver meaningful AI-powered outcomes.
We are looking for an engineering leader to oversee the AI Foundations engineering organization. You will be accountable for the technical impact of the group including organizational health, operational excellence, software and machine learning craft quality, and engineering output. All Engineering Managers in AI Foundations will report into this role.
You will partner with product and executive leaders to connect Riot’s goals to a clear charter, long-term roadmap, and investment choices. The role calls for an organization-level leader who stays technically engaged: close enough to understand the engineering realities, guide important decisions, and address risks, while creating the clarity and space for managers and teams to lead execution.
Responsibilities:
Set technical strategy and direction.
Work with product and engineering partners to shape AI Foundations’ charter, priorities, and long-term roadmap. Translate organizational goals into clear outcomes, make deliberate investment and trade-off decisions, and explain what the organization will and will not take on.
Lead and develop the engineering management organization.
Set clear expectations, coach managers to take ownership and deliver results, uphold a consistent engineering-management and performance bar, and identify and develop future leaders.
Own the organization’s results.
Be accountable for the total output and outcomes of multiple teams. Ensure teams understand their goals and value, evaluate commitments against the roadmap, make delivery and risks visible, and act quickly to unblock or accelerate work when needed.
Build the organization and its capabilities.
Plan for future staffing and skills, identify gaps against the roadmap, and develop role or team proposals grounded in opportunity and cost. Partner with Talent on hiring and onboarding, make hiring decisions at the appropriate level, and drive strategic planning, forecasting, and compensation planning for the organization.
Guide technical quality and operational ownership.
Stay engaged in the technical outcomes across AI/ML, software, data, and agentic systems. Build alignment on architecture and technical strategy; ensure teams deliver reliable, secure, maintainable production systems with appropriate evaluation, observability, incident response, and ownership. Make sound trade-offs across quality, reliability, latency, cost, and technical sustainability.
Improve how the organization works.
Build operating mechanisms that improve efficiency, team health, and delivery transparency. Address recurring friction, misalignment, and unresolved risks directly. Ensure the organization learns from operational issues and changes course as needed.
Create leverage across Riot.
Build trusted partnerships across game teams and central functions. Share reusable engineering patterns, platform capabilities, evaluation approaches, and lessons learned so AI Foundations’ work strengthens Riot’s ability to build and operate AI systems beyond any one team.
Communicate with clarity.
Make decisions, trade-offs, and uncertainty legible to managers, engineers, product partners, game leaders, and executives. Surface risks early, give timely and actionable feedback, and resolve difficult conversations with candor and sound judgment.
Required Qualifications:
12+ years of industry experience in software engineering, machine learning engineering, AI, or a closely related discipline, including 8+ years of management experience.
Proven ability to coach managers, set clear expectations, manage performance, develop future leaders, and maintain a high and consistent engineering bar with accountability for organization-wide outcomes.
A strong record of building, shipping, and operating production software, AI/ML systems, or platforms that deliver measurable value to players, customers, or internal teams.
Strong technical credibility and judgment across software systems and AI/ML—sufficient to assess architecture, quality, operational health, reliability, scale, security, cost, and user impact, and to guide technical direction across teams.
Demonstrated ability to turn ambiguous product or business needs into an organization strategy, long-term roadmap, measurable outcomes, and clear priorities; make trade-offs based on mission, capacity, and impact; and maintain alignment as plans change.
Experience shaping organizational capacity and capabilities, including identifying skills gaps, planning staffing, and making sound hiring and investment decisions.
Demonstrated ability to build trust and influence across organizational boundaries, including with product, game, platform, data, research, and executive partners.
Excellent written and verbal communication, with a bias toward clarity, explicit ownership, timely feedback, and candid discussion of uncertainty.
Sound judgment around responsible AI and production risk, including privacy, security, safety, and the operational consequences of deploying AI-enabled systems.
Experience in live-service games, interactive entertainment, consumer products, or other high-scale, real-time environments.
Experience with one or more areas such as generative AI, LLM applications, agentic systems, personalization, recommendations, ranking, player modeling, game AI, reinforcement learning, computer vision, or multimodal systems.
Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field; or equivalent practical experience.
Desired Qualifications:
Experience partnering across data engineering and platform teams on model development and operations, including data and feature pipelines, inference services, orchestration, model registries, evaluation, or ML observability.
Experience building AI/ML products, shared platforms, developer tools, or technical capabilities used by multiple product groups.
Graduate degree in Computer Science, Engineering, Machine Learning, or a related field.
For this role, you'll find success through craft expertise and a collaborative spirit that prioritizes the
delight of players. We will look at your past studies and experience, but for this role, we also look for
dedicated people with a personal relationship with games. If you embody player empathy and care about
p
layers' experiences, this is the role for you!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: Europe
Workplace: Remote
OUR VISION & PRODUCTS
🚀 EverAI — Building the Future of AI Companionship
One of the Top 15 Largest & Fastest-Growing AI Companies in the World
50 Million Users in 2 years — Help Us Reach 100M first, 500M next
At EverAI, we’re shaping what it means to connect with AI. With 50 million users and counting, we're not just building products — we're creating entirely new categories.
Our flagship product is the world’s largest AI companionship platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first.
And we’re only just getting started!
OUR TEAM
We are an enthusiastic, passionate and hardworking team of ≈ 100 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO.
Alexis Soulopoulos [CEO]
• 10+ years in Tech Executive Leadership
• Co-Founder Mad Paws Holdings (from 0 to IPO)
• Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23
Michael Monin [Co-founder & CTO]
• 10+ years as CTO / COO (web2/web3), 3 years in AI/LLM
• Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands)
Thomas Lacroix [Co-founder & CMO]
• 8+ years in Customer Acquisition & E-commerce Growth
• Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue)
Maruša Fasano [CFO/Legal]
• 25+ years in Finance, Strategy, M&A
• Ex-CFO/M&A @Curatible (exited to Blackstone)
• Ex-President of the Board @SotremoSA (exited)
• Co-founder/CFO @SoftOne (exited)
YOUR ROLE
Most LLM roles stop at experimentation.
Here, the models you improve power experiences for 50M+ users.
Most of our traffic runs on self-hosted, fine-tuned open-weight models. On our internal roleplay evals, our smaller fine-tuned models can outperform much larger off-the-shelf models. Your job is to make them better.
You’ll join a small AI team led by Marco, our LLM Tech Lead, working closely with our CTO, Product, Web and DevOps teams. You’ll work across data, post-training, evals, and model behavior, taking ideas from failure analysis to production.
The problems are real: personalization, character consistency, long conversations, better evals, multilingual behavior, and faster training cycles.
If you want to shape model behavior at consumer scale, this is the role.
KEY RESPONSIBILITIES
- Fine-tune open-weight LLMs using SFT, LoRA/QLoRA and post-training methods such as DPO and GRPO
- Diagnose model failures and turn them into experiments. Decide whether the answer is better data, post-training, prompting or classifiers
- Build training data and evals that directly shape what gets trained next
- Improve model behavior across personalization, consistency, tone, multilingual and group interactions
- Ship to production and use real user behavior to guide the next iteration
- Speed up the training loop so experiments are faster, easier to compare, and more reproducible
YOUR QUALIFICATIONS
- You’ve personally post-trained open-weight LLMs for a user-facing product and shipped them to production
- You’ve worked where AI was core to the product or business, not an experimental side feature
- Fine-tuning is core to your experience
- Strong Python, PyTorch and Hugging Face, with hands-on GPU training and debugging
- You build data and evals yourself and make decisions from evidence
- You can take work beyond notebooks into production
- You use AI tools daily in your own engineering work
- You are fully comfortable working with uncensored models and explicit NSFW content, including harmful material when developing and evaluating moderation system
BONUS POINTS
- Experience with conversational AI, roleplay products, or highly personalized consumer AI
- Multilingual LLMs
- Moderation, safety, or adversarial testing
- Multimodal models
- Open-source LLM / post-training contributions
WHY EVERAI?
📈 Exponential Growth: From 50M users in 2 years, to 100M next — and 500M beyond
🚀 Track Record of Category-Creating Innovation: We consistently launch world-first AI applications — setting the pace, not following it
🌍 Global Impact: Top-tier user growth, real-world adoption, and cultural relevance
🧠 Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship
👥 Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity
🛡️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scale
WHAT WE OFFER
✍️ Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact
📍 Work From Anywhere: Fully remote. Choose the environment where you do your best work
🏝️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset
👨👩👧👦 Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together
❤️🩹 Health & Wellness Support: Monthly allowance of 100 USD for health insurance expenses & access to unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available to up to three of your family members)
🏢 Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected
📚 Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications
💻 Company Laptop & Equipment: Laptop provided + monitor budget up to 250 USD + keyboard/mouse/mic/headphones budget up to 150 USD
⚡ AI Tools Access: Premium access to ChatGPT, Hugging Face, Claude Code, and any other tool needed to excel at your job, power your ideas and workflows
🎯 TOP TIER TALENT IS OUR MULTIPLIER
We’re a fully remote group of A-players from Tier 1 tech, led by an exec team who’ve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build — and who we build it with.
We’re looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business.
If that’s you — reach out and apply!
УдалённоIndia; Japan; South Korea; Taiwan; Hong Kong; Pakistan
УдалённоUnited States; Canada; Australia; New Zealand; United Kingdom
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоUnited States; Canada; Australia; New Zealand; United Kingdom
Cornell Center Animal Hospital - Beaverton, Oregon
Australia; Provide technical leadership and mentoring across every level of the team: set investigation standards, run case reviews, ride-alongs and knowledge sessions, advise the Senior Manager on SOC direction, and help assess candidates in the hiring process
УдалённоМожно работать из любой страны
УдалённоToronto; Europe; Canada; London; United States; New York; United Kingdom; Atlanta; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
Washington, District of Columbia, United States
Georgia - Remote; Tennessee - Remote
San Francisco, CA | New York City, NY; We encourage you to apply even if you might need some flexibility for an interim period of time for relocation
New York, NY
УдалённоseniorRemote (United States | Canada); Reporting to the Director of Performance Marketing, this role is open to candidates based in the United States or Canada
Автоотклики