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Location: United States; Canada; New Zealand; Australia; 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 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: 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: 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: EMEA Remote About Customer.io Over 10,000 companies from scrappy startups to global brands use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. About the Role We’re hiring a Senior Sales Manager to build and lead a new team of 6–8 Account Executives in our Mid-Market organization. The EMEA org is already running this sales motion successfully; you’ll be responsible for ramping and leading your team, establishing its operating rhythm, and shaping its approach to territories and pipeline generation as needed. This is a frontline leadership role. You’ll translate our go-to-market strategy into consistent team execution by coaching reps, inspecting deals, driving forecast accuracy, and creating the structure for strong performance to repeat quarter after quarter. What you'll own: Lead and develop a high-performing team Coach Account Executives to consistently meet or exceed quota and grow into their next role Run focused 1:1s built around deal quality, skill development, and real accountability Ramp new reps quickly and address performance gaps early, before they compound Build a team culture rooted in ownership, collaboration, and high standards Drive pipeline health and forecast accuracy Lead weekly pipeline and forecast reviews focused on deal progression, qualification rigor, and clear next steps Sharpen predictability through disciplined inspection and clean CRM hygiene across the team Maintain healthy pipeline coverage and address creation gaps before they become quarter-enders Reinforce structured, rep-owned outbound tied to measurable standards and pipeline outcomes Use activity, conversion, and pipeline data to test and improve outbound effectiveness over time. Support high-quality deal execution Coach reps to run well-qualified mid-market opportunities from discovery through close Elevate deal strategy with stronger positioning, cleaner value articulation, confident executive-level communication Help reps navigate pricing, stakeholder alignment, and procurement without losing momentum Identify patterns in stalled deals and use them to improve execution across the team. Partner cross-functionally Work with Sales Ops, Marketing, and Solutions Architects to unblock deals and improve how the team executes Bring frontline feedback on messaging, territory design, and enablement back to the people who own it Pilot new go-to-market initiatives with your team, then turn what works into repeatable practices. What we're looking for: 7–10 years of sales experience, including 3–5+ years managing quota-carrying reps, ideally in marketing technology or SaaS This role is only open to candidates based in the United Kingdom or Ireland. A track record of leading successful mid-market or high-velocity sales teams, including building or evolving outbound teams and motions. Genuinely strong at pipeline inspection and forecasting - you can sniff out a soft deal from a mile away Experienced in coaching outbound pipeline generation and improving outbound motions as the business evolves Comfortable operating inside a structured qualification framework like MEDDICC A clear, direct communicator who sets high expectations, gives candid feedback, and treats people with respect Effective cross-functionally in a collaborative, fast-moving, growth-stage environment Compensation & Benefits We believe in transparency. Compensation for this role is $145,000 base + $145,000 variable = $290,000 OTE (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family . We also offer 16 weeks paid parental leave, unlimited PTO , stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. 30-minute conversation with a Recruiter 45-minute conversation with the Hiring Manager 1:1 conversations with cross-functional partners One week to complete a take-home assignment, followed by a 60-minute review call All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io. Join us! Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Payroll Operations Specialist Remote Role Summary Sony Interactive Entertainment (SIE) is seeking an experienced, organized, and collaborative Sr. Payroll Operations Specialist to support US and Canadian payroll operations within a global organization. This role is responsible for coordinating, prioritizing, and executing payroll activities to ensure accurate, timely, and compliant payroll delivery. The ideal candidate understands end-to-end payroll processes, anticipates operational dependencies, and collaborates effectively with regional and global stakeholders. The position requires hands-on payroll experience, strong operational judgment, and the ability to leverage technology, AI, and performance metrics to drive efficiency and continuous improvement. What You’ll Be Doing: Payroll Operations Coordinate and execute payroll activities across multiple pay groups and processing cycles, ensuring accuracy, compliance, and timely completion. Manage payroll schedules, checklists, audits, reconciliations, and competing priorities.Sr. Support complex payroll activities, including leaves of absence, international assignees, terminations, and special payments. Proactively identify and resolve payroll discrepancies, operational risks, and processing delays. Process Coordination and Collaboration Provide day-to-day operational guidance and indirect leadership to Payroll Analysts by coordinating work assignments, aligning priorities, monitoring progress, and supporting timely, accurate payroll execution without direct people-management responsibility. Understand upstream and downstream payroll dependencies across HR, Benefits, Leaves, Finance, and other functions. Collaborate with regional and global stakeholders to resolve issues and improve payroll processes. Partner with technical teams on system-related issues, business requirements, and user acceptance testing. Employee Support and Continuous Improvement Manage employee payroll inquiries through case management systems, ensuring timely and accurate resolution. Monitor payroll KPIs, including accuracy, timeliness, exceptions, and case resolution. Leverage AI, automation, and analytical tools to improve efficiency, accuracy, and operational workflows. Identify recurring issues, support root cause analysis, and implement process improvements. Compliance and Controls Apply US and Canadian payroll regulations and established company policies. Execute payroll controls, audits, and reconciliations while supporting SOX compliance and audit requirements. Maintain accurate payroll documentation, procedures, and records. What We’re Looking For: 7+ years of progressive payroll experience supporting US and Canadian payroll operations. Hands-on experience with Dayforce Payroll and Workday HCM ; Dayforce Workforce Management experience preferred. Strong understanding of end-to-end payroll processes, compliance requirements, and operational dependencies. Experience supporting international assignees or cross-border payroll activities. Demonstrated ability to organize complex workflows, manage competing priorities, and meet critical deadlines. Experience working collaboratively within a regional payroll team in a global organization. Strong analytical, Excel, problem-solving, and communication skills. Experience with payroll audits, case management, process improvement, and performance metrics. Familiarity with AI and automation tools to improve payroll efficiency and accuracy. Bachelor's degree or equivalent professional experience; CPP, PCP, or PLP certification preferred. Measures of Success Accurate, timely, and compliant payroll delivery. Effective prioritization and proactive resolution of operational issues. Strong collaboration across regional and global teams. Continuous improvement in payroll accuracy, efficiency, and employee service. Consistent adherence to payroll controls and compliance requirements. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $135,900 — $203,900 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Chicago, NYC, Dallas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are A collaborative and strategic leader with deep hands-on experience in Site Reliability Engineering (SRE) and infrastructure Automation. You are comfortable steering the vision for an enterprise automation roadmap while remaining technical enough to dive into the code. You treat infrastructure as a product, ensuring that your automation workflows are as reliable as the services they deploy. You have a proven track record of managing complex hybrid environments and are proactive in building self-service platforms that enhance engineering velocity and system stability. Responsibilities Automation Platform Leadership : Oversee a specialized SRE team focused on the design, deployment, and maintenance of automation toolsets as well as the systems they interact with. Infrastructure as Code (IaC) Governance : Establish and enforce standards for IaC to ensure consistent, repeatable, and secure deployments across an entire infrastructure ecosystem. Strong proficiency in Terraform is required. Configuration Management : Lead the strategy for automated configuration and state management, ensuring Ansible playbooks and Packer image pipelines are optimized for both Windows, Linux, and ESXi Platforms. Monitoring & Observability : Manage the monitoring and health of the automation platforms themselves. Implement SLIs/SLOs to ensure the "tools that build the servers" are highly available and performant. Lifecycle Management : Drive the automated lifecycle of both physical and virtual assets, from initial template creation/deployment to automated patching, scaling, and decommissioning. Custom Tooling & Scripting : Lead the development of custom scripts and internal providers (Python, Go, PowerShell, Bash) to provide better insights and tooling for our systems. Collaboration: Outside of the automation team you will need to be able to collaborate and foster workflows alongside the rest of the Datacenter team and be able to facilitate needs for the team as a whole. Capacity & Performance : Analyze system behavior and resource utilization in virtual environments to optimize the performance of automated deployments. Mentorship & Growth : Provide technical guidance and career mentorship to SREs, fostering a culture of "automate-first" and continuous improvement. Requirements 6-10 years’ experience in Infrastructure, SRE or DevOps, specifically focused on infrastructure automation at scale. Deep proficiency with Terraform (providers, modules, state management) and Ansible (roles, playbooks, Tower/AWX). Hands-on experience with Image Creation (i.e. Packer, Ansible, SCCM) to build standardized, hardened images for both Windows and Linux in hybrid environments. Strong experience managing and automating virtual platforms such as VMware (vSphere/vCenter) as well as Cloud providers such as Azure and AWS. High-level scripting skills in mediums such as Python, Go, PowerShell, and Bash. Experience with observability tools (Splunk, ELK, Prometheus, or Grafana) to monitor infrastructure health and automation telemetry. Good understanding of Network topology and design as well as experience with platforms such as Juniper Networks or Palo Alto. Strong mastery of Git (branching strategies, PR workflows) and CI/CD platforms (Jenkins, GitLab CI, or GitHub Actions). Equal comfort managing, troubleshooting, and tuning performance for both Windows Server and Linux. Nice to Have Previous work experience includes notable periods of team leadership and or management. Experience with IAM platforms such as Entra ID, Active Directory, and Okta. Experience with Storage solutions both block based and object based hosted either on-prem (HP Alletra, EMC, DDN) or in cloud (S3, Azure Blob). Storage Backup/DR administration and management with Commvault or Veeam. What We Offer: Competitive base salary and discretionary bonus Flexible Time Off (i.e. unlimited paid vacation days) Company paid Holidays (14) Company paid sick leave Company-paid health and protective benefits for employees, partners, and other dependents 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Ginger Free daily snacks in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us as we grow the economy that runs on code. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE Most Kit creators don't have a dedicated Creator Growth Manager, and when their emails start landing in spam, they need someone who can find the cause quickly and explain it in plain language. We're looking for a Deliverability and Compliance Specialist to own deliverability support for that long tail of creators, run Kit's abuse desk, and make the compliance calls that protect the sending reputation every creator on Kit shares. You'll also build the playbooks, training, and AI-assisted workflows that help Support and contractors handle more deliverability questions on their own, and you'll partner with our infrastructure engineers as we run more of our sending in-house. A creator can't build a lasting business if their emails don't arrive, so this work connects directly to our mission. This is a full-time individual contributor role for someone who likes digging through headers and bounce logs to find the real cause of a problem, can explain DMARC alignment to a first-time creator without jargon, and is comfortable making a firm call when a situation is gray. You don't wait for someone to tell you what needs fixing. You proactively spot opportunities, identify patterns, and take the initiative to improve deliverability before problems arise.   YOUR SUPPORT SYSTEM You'll report to Alyssa Dulin https://www.linkedin.com/in/alyssadulin/, Director of Creator Success, and collaborate closely with: - Our Deliverability team: a Deliverability Lead who supports our highest-value accounts and leads deliverability education, and a Deliverability Specialist who onboards and ramps up large senders moving to Kit - Our infrastructure engineers, who run Kit's sending infrastructure - Our compliance and anti-abuse engineers, who build the automated checks that keep spammers off Kit - Product Specialists and the Support team, who handle the front line and escalate deliverability issues to you - Customer Success Managers (we call them Creator Growth Managers at Kit), Sales and Migrations, and Product Managers   WHAT YOU'LL DO - First Week: Get set up in Kit, our admin tools, and our support and ticketing systems, and meet our distributed team in Get To Know You chats (GTKYs). Meet the deliverability team and get an introduction on the current projects. Read our deliverability playbooks and SOPs, and get access to the monitoring tools you'll use every day: Google Postmaster Tools, Microsoft SNDS, blocklist monitoring, and our internal delivery dashboards. - First Month: Shadow the Deliverability team and Product Specialists on deliverability tickets, account approvals, and abuse reports, then start answering queue tickets with review. Join the daily monitoring rotation (blocklist delisting, Postmaster and delivery monitoring) and the weekly Deliverability team meeting. Learn how account approvals, compliance flags, and our in-house sending platform work. By the end of the month, work deliverability tickets and abuse reports on your own and send your first delisting requests. Project: build a recurring report showing the trending deliverability ticket reasons so we understand what’s causing how to reduce friction for customers and how to solve it - First Six Months: Own the deliverability support queue for creators without a dedicated CGM: spam-folder placement, bounces, authentication and DMARC setup, and escalations from Product Specialists. Own compliance end to end, from new-account approvals and compliance flags to pausing or closing accounts that put our shared reputation at risk.Run Kit's abuse desk. You'll write and share a strategy that covers coverage, response-time targets, escalation paths, and quality checks, then put it in place so routine spam, phishing, and blocklist reports follow clear SOPs while you take the hardest cases yourself. Be the go-to contact for day-to-day mailbox provider issues with Microsoft, Gmail, Yahoo, Comcast, and regional providers, and write an incident runbook for blocklistings and provider throttling. Track the queue with a simple scorecard (volume, first response time, and escalation rate) and share what you learn with the team. Run training sessions for Support and ship your first process or AI improvements, like cleaner ticket categorization or better account data for our AI support agent, so more deliverability tickets get solved without escalation.. - First Year: Deliverability support is faster and more consistent for every creator on Kit, including the ones who never talk to a CGM. Your playbooks, help center articles, and AI-assisted workflows are what Support, CGMs, and contractors reach for first, and fewer tickets need to come to you. You've led at least one cross-team fix with infrastructure for a recurring problem you spotted in the queue, such as an alert when a creator's domain authentication breaks or a check for sudden signup spikes. You're helping shape the internal tooling and alerting our in-house sending needs, and you take part in industry groups like M3AAWG.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills Must haves - Deep working knowledge of email authentication (SPF, DKIM, DMARC, alignment, and BIMI basics), plus the ability to read raw message headers and SMTP bounce and deferral codes - Hands-on use of Google Postmaster Tools and Microsoft SNDS/JMRP, and comfort working with major blocklists (Spamhaus, Abusix, Barracuda, Spamcop, and others) and their delisting processes - A clear understanding of Gmail and Yahoo bulk sender requirements, including authentication, one-click unsubscribe (RFC 8058), and spam-rate thresholds - Data fluency: you can pull bounce, complaint, and engagement data together, find the root cause, and explain it so others can act on it - Hands-on abuse handling: you can work an abuse report or escalation start to finish, from finding the account and assessing the evidence to acting, replying to the reporter, and documenting the decision - Process building: you can turn repeat work into SOPs, playbooks, and quality checks that a contractor or teammate can follow - Clear, calm written communication with creators, teammates, and postmasters - Using AI tools to research, summarize, and draft, and helping teammates do the same, with the judgment to keep a person on final compliance calls Nice-to-haves: - Experience with MTA logs or delivery observability tools (KumoMTA, PowerMTA, Postfix, Kibana/Elasticsearch, or SQL and BI tools like Mode) - Familiarity with feedback loops, spam traps, list bombing, and bot-signup patterns - Familiarity with CAN-SPAM, CASL, and GDPR as they apply to marketing email - Experience with Intercom, HubSpot, or a similar ticketing tool - Experience building or tuning AI support workflows or macros Experiences Must-haves: - 4+ years in email deliverability, compliance, trust and safety, or technical support at an ESP, mailbox provider, or high-volume sender - Handling escalated customer tickets end to end, including with customers who are frustrated - Making account-level compliance or abuse decisions, such as approving, suspending, or closing accounts - Working an abuse desk or abuse mailbox directly: spam and phishing complaints, provider and blocklist reports, and escalations - Leading the fix for a recurring deliverability or compliance problem that needed help from more than one team Nice-to-haves: - Supporting senders on shared IP pools at an ESP - Setting abuse or trust and safety strategy, or directing contractors or vendors on a support or abuse queue - Working directly with mailbox provider postmaster teams - Participating in M3AAWG or other industry groups - Creating educational content, like help docs, training, workshops, or podcasts - Working with creators, digital entrepreneurs, or small businesses Traits - You pick up problems that fall between teams without waiting for permission, and you follow them through until they're closed. - You test a hypothesis against the evidence before you act, and you frame problems clearly enough that others trust your analysis. - You protect the reputation every creator shares while staying fair and kind to the creator in front of you, and you help them understand the reasoning behind a decision. - You turn what you learn into docs, templates, and training that others use, and you adjust how you teach to fit the audience. - You hold a high bar for your work, and you push back respectfully, with data, when something puts our reputation at risk, even when Sales or leadership would prefer a different answer. - You share in-progress work and risks early so the team can solve problems together.   WHAT WON'T SET YOU UP FOR SUCCESS - Treating deliverability as a set of macros rather than an investigation that needs judgment - Discomfort saying no to a creator or a teammate when our shared reputation is at stake - Waiting for someone to assign you work when you can already see the problem - Needing a fixed playbook, since our sending stack and processes are changing as we bring more sending in-house - Keeping knowledge in your head instead of writing it down for the next person - Preferring to work without AI tools   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. We work mostly on East Coast time - so if you're based on the West Coast of the United States, Europe, or Asia, you might have a few early mornings or late evenings. We do our best to keep things reasonable, but a little time zone juggling comes with the territory. For this role, we're looking for someone based in North America, with working hours that give us solid US time zone coverage of the deliverability queue.   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. For this role, we're hiring at our level 3 ($118,000 USD). Level is determined based on experience and our interview process.   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,280 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Panel interview (60 min)   We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a member of the marketing analytics team, you'll help build the data infrastructure and analytical capabilities needed to drive smarter lifecycle marketing decisions and business impact at OnePay. You'll focus on establishing the measurement and attribution frameworks needed to understand how lifecycle marketing impacts customer behavior, product engagement, and business outcomes. You'll work through an evolving data landscape, connecting customer interactions across marketing and product to uncover insights and identify opportunities to optimize LCM. You'll partner closely with marketing, product, engineering, and data teams to translate data into actionable recommendations and help shape how OnePay measures and optimizes its marketing efforts. In this role, you will: - Analyze LCM performance, identify opportunities to optimize individual campaigns and the broader customer journey, and translate findings into actionable insights that drive business impact. - Develop the data infrastructure, measurement frameworks, and attribution methodologies needed to understand the impact of lifecycle marketing across campaigns, channels, and product interactions. - Partner cross-functionally with marketing, product, engineering, and data teams to improve measurement capabilities, connect marketing activity to product outcomes, and inform broader business and marketing strategies. - Leverage AI-powered tools and techniques to accelerate analysis, develop and validate predictive insights, and push the boundaries of what’s possible in marketing analytics. - Share insights and recommendations to senior leadership and stakeholders to influence the direction of the business YOU BRING - 3-7 years of professional experience in marketing analytics with experience with lifecycle as a plus. - Demonstrated track record in marketing analytics, including hands-on experience with attribution models, measurement frameworks, A/B testing, and campaign optimization. - Advanced SQL and AI skills, with the ability to independently pull and analyze complex datasets. - Strong analytical thinking and problem-solving skills — you can go from ambiguous questions to clear insights. - Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’. - An act-like-an-owner mentality. We have a bias toward taking action. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Remote About us OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world's transition to an open financial system, built on open standards and secured by rigorous research. Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap. We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle. Please note: Always refer to OpenZeppelin's official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information. The IT & Security Team OpenZeppelin is a leader in blockchain security, providing cutting-edge security audits and services to top Web3 organizations. Our Security and IT team plays a critical role in safeguarding our infrastructure, ensuring compliance, and enabling our distributed team with secure and efficient IT solutions. What you'll be doing Security & Compliance Support: Assist in managing security tools, including endpoint security (e.g., MDM solutions like Jamf or Intune). Support implementation of security policies and procedures. Help with internal security audits and compliance documentation. Monitor system access and assist in enforcing security controls. Participate in incident response activities and learn best practices for handling security incidents. IT Operations & Support: Help with onboarding and offboarding processes, including provisioning accounts and setting up workstations. Provide technical support for remote employees, troubleshooting basic IT and security issues. Maintain IT assets and document configurations. Assist with integrations, automations, and basic scripting tasks where applicable. Growth & Learning Opportunities: Work closely with senior engineers to gain hands-on experience in IT security and compliance. Receive mentorship and training in security best practices, cloud security, and compliance frameworks. Contribute to internal security awareness initiatives. You have 1-3 years of experience in IT or security-related roles (help desk, IT support, sysadmin, security analyst, etc.). Basic knowledge of cloud platforms (AWS, Google Workspace) and security tools. Basic knowledge on security and configuration controls of AI tools ( claude/claude code, chatgpt/codex etc..) Some experience with IT administration, endpoint security, or identity/access management. Understanding of security best practices and a willingness to learn more about SOC 2, ISO 27001, and compliance frameworks. Good problem-solving skills and the ability to work in a remote-first team. Strong written and verbal communication skills. Nice to have Hands-on experience with MDM solutions (e.g., Jamf, Intune or others). Understanding of networking fundamentals (firewalls, VPNs, DNS). Certifications such as CompTIA Security+, Google IT Support, or AWS Cloud Practitioner. Exposure to security tools such as SIEM, EDR, or vulnerability scanners. Passion for cybersecurity and an eagerness to grow into a more senior role. Logistics: Our interview process takes place on Google Meet and tends to consist of the following stages: Recruiter Interview (30 minutes) Hiring Manager Interview (60 minutes) Team Interview (30 minutes) Leadership Interview (30 minutes) Paid work trial (up to 20 hours of paid work) Reference checks Benefits Meet your teammates at company gatherings around the world 😎 Enjoy the flexibility of fully remote work 🌎 Take the time you need with flexible time off 🏝 Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙 Build your ideal home office with up to $500 in equipment support 🪑 Stay covered with medical insurance 🏥 Keep growing with learning and development opportunities 🧠 Get a monthly stipend for your preferred co-working space 💻 At OpenZeppelin , we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us! Use of AI as part of the recruiting process As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s Data Privacy Notice . If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.

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: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Commercial Manager (Telecommunications) Remote Role Summary Reporting to the Commercial Director, the Commercial Manager will be responsible for leading and growing key strategic accounts within Sony PlayStation's commercial business in the US. This role will drive business growth by developing commercial strategies, building strong partnerships, identifying new opportunities, and ensuring best-in-class execution across multiple channels and customers. The successful candidate will play a critical role in delivering sales objectives, expanding market presence, and strengthening relationships with strategic partners. The ideal candidate combines strong commercial leadership, analytical thinking, negotiation skills, and the ability to influence both internal and external stakeholders to achieve sustainable business growth. What You’ll Be Doing: Develop and execute strategic business plans for assigned accounts and channels, ensuring alignment with PlayStation's commercial objectives. Build and maintain strong relationships with key partners, acting as a trusted advisor and primary commercial contact. Lead commercial negotiations, annual business planning, promotional strategies, and growth initiatives. Identify new business opportunities and develop strategies to expand revenue, market share, and channel performance. Drive successful execution of product launches, promotional campaigns, and seasonal business initiatives. Analyze sales performance, market trends, consumer behavior, and competitive activity to generate actionable business insights. Collaborate closely with cross-functional teams including Marketing, Finance, Supply Chain, Operations, and Regional stakeholders to deliver business objectives. Manage commercial investments and budgets, ensuring efficient allocation of resources and strong return on investment. Conduct regular business reviews with partners, providing strategic recommendations and action plans to maximize performance. Champion a culture of accountability, collaboration, and continuous improvement across both internal and external stakeholders. What We’re Looking For: 8+ years of experience in Sales, Key Account Management, Business Development, or Commercial Leadership roles. Proven track record of managing strategic accounts and delivering sustainable business growth. Strong commercial acumen, including forecasting, promotional planning, business analysis, and profitability management. Excellent negotiation, communication, and stakeholder management skills. Strong analytical mindset with the ability to translate data into business opportunities and strategic recommendations. Ability to work effectively in a fast-paced and highly collaborative environment. Bachelor's degree in Business Administration, Marketing, Economics, Engineering, or equivalent Experience in Consumer Electronics, Technology, Gaming, Telecommunications, Retail, or related industries. Experience managing large and complex customer organizations. Exposure to Telecommunications (Telco) channels, omnichannel retail environments, or digital commerce platforms. Experience leading cross-functional projects and strategic business initiatives. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $132,900 — $199,300 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for a Delivery Director, Capacity Programs for our on-premises data center builds and neo cloud (GPU cloud) delivery programs. This is a high-visibility, execution-critical role sitting at the intersection of infrastructure engineering, capacity planning, vendor/partner management, and customer delivery. You will own the end-to-end delivery lifecycle for large-scale compute infrastructure — from initial site/capacity commitments through power, networking, and hardware bring-up, to production-ready GPU/compute capacity landing in the hands of internal teams or customers. You'll be the person who turns ambitious infrastructure roadmaps into predictable, on-time, delivery. WHAT YOU'LL DO - Own delivery of on-prem infrastructure builds — colocation expansions, power/cooling readiness, rack-and-stack, network fabric bring-up, and hardware acceptance testing — coordinating across colo providers and partners, network engineering, hardware ops, and vendor teams. - Drive neo cloud delivery programs — manage capacity delivery from GPU cloud and neo cloud partners (e.g., colocation/bare-metal/GPU cloud providers), including contract milestones, capacity ramps, SLAs, and go-live readiness. - Build and maintain master delivery schedules across concurrent, multi-site, multi-vendor programs, integrating power/shell timelines, hardware lead times, logistics, and software/platform readiness into a single critical path. - Manage cross-functional stakeholders — engineering, data center operations, procurement, finance, legal, and executive leadership — translating technical dependencies into clear program status, risks, and decisions. - Own vendor and partner relationships for infrastructure delivery, including neo cloud providers, colocation partners, hardware OEMs, and logistics/installation contractors; hold partners accountable to contractual delivery commitments. - Run risk and dependency management — identify critical path risks (power availability, hardware lead times, permitting, supply chain), drive mitigation, and escalate proactively rather than reactively. - Establish delivery governance — standardized program frameworks, milestone definitions, RAID logs, capacity tracking, and reporting cadences (weekly ops reviews, executive/board-level updates). - Drive capacity planning alignment — partner with demand/capacity planning teams to ensure delivery timelines match business commitments (customer contracts, internal growth targets). - Lead post-mortems and continuous improvement — after major builds or delivery milestones, drive retrospectives that improve cost, speed, and predictability of future builds. WHAT WE'RE LOOKING FOR Required: - 8+ years in technical program management, delivery management, or infrastructure program leadership, with at least 3+ years managing large-scale physical infrastructure or data center delivery programs. - Demonstrated experience delivering on-prem data center builds (power, cooling, network, rack-and-stack) from planning through go-live. - Direct experience with GPU cloud / neo cloud capacity delivery: understanding of GPU cluster architectures (e.g., InfiniBand/RoCE fabrics, rack power density, liquid cooling considerations) and the commercial/operational mechanics of capacity contracts with neo cloud or colocation providers. - Track record managing complex, multi-vendor, multi-workstream programs with hard external deadlines and significant financial/business exposure. - Strong executive communication skills. Able to distill complex technical/operational risk into clear, decision-ready updates for senior leadership. - Proven vendor/partner management experience, including negotiating delivery commitments and holding partners accountable. - Comfortable operating with ambiguity in a fast-moving, high-growth environment. Bias toward action and structured problem-solving. Preferred: - Experience at a hyperscaler, neo cloud provider, colocation company, or AI infrastructure company - Familiarity with GPU hardware lifecycles (NVIDIA H100/H200/GB200 class systems), power/thermal constraints, and supply chain dynamics for compute. - PMP, PgMP, or equivalent program management certification. - Experience building delivery/program management functions from the ground up BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).