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Position Company : Liberty Mutual Insurance Location : Portsmouth, New Hampshire Posted On : 10/7/2026 Description At GenAI Research and Solution (part of deep learning research team within modeling sophistication, DSE), we research and build generative AI (GenAI) capabilities that go directly into Liberty Mutual products. We fine-tune small language models (SLMs), design retrieval and agentic pipelines, explore creative ways to embed Libertys data in products, and hold all these solutions to a high bar for accuracy, grounding, latency and cost. Our team emphasizes technical rigor, reproducibility and methodological innovation, and we work close to the business so that research turns into products our customers use. As an individual contributor on the team, you will provide technical leadership, design, build and deploy GenAI solutions end to end from research prototype to production service. You will fine-tune and evaluate small language models, build pipelines such as retrieval-augmented generation (RAG), and variants such as corrective RAG and agentic orchestration, and partner with engineers to run them reliably on our Kubernetes and other deployment platforms. This is a deeply hands-on role with room to shape methodology and influence how GenAI shows up across our products. Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. Responsibilities Design, fine-tune and deploy language model based solutions, from research and experimentation through production implementation. Fine-tune and distill small language models for domain-specific insurance tasks, balancing accuracy, latency and cost. Build and improve GenAI pipelines, including RAG, corrective RAG and agentic orchestration with tool use, planning loops and memory. Develop and maintain scalable data, document and embedding pipelines, applying MLOps and LLMOps best practices for reproducibility, deployment and monitoring. Design evaluation suites and guardrails for GenAI use cases, covering groundedness, accuracy, safety and regression testing as models and prompts change. Containerize and ship solutions on Kubernetes, partnering with engineering teams to operationalize them in production environments. Research and prototype new methods for training, adapting and evaluating generative models, and share what works with the wider team. Communicate findings through technical presentations, reports and recommendations to both technical and non-technical stakeholders. Participate in cross-functional working groups and contribute to the broader data science community to promote best practices. Preferred Qualifications Ph.D. in Statistics, Computer Science, Mathematics, Economics, Actuarial Science or a related quantitative field with 2+ years of relevant experience; or Masters with 4+ years; or Bachelors with 6+ years. Demonstrated expertise with transformer-based language models, including fine-tuning techniques such as parameter-efficient fine-tuning (LoRA/QLoRA) and instruction tuning. Hands-on experience building GenAI pipelines, including retrieval design, chunking and embedding strategies, vector search and agentic tool use. Strong foundation in machine learning, statistics, experimental design and model evaluation metrics, including the evaluation of generative output. Proficiency in Python and MLOps practices, with experience in version control (Git), code review, collaborative development workflows (e.g., GitHub/GitLab) and model versioning/experiment tracking (e.g., MLflow). Proficiency in PyTorch and the GenAI ecosystem, such as Hugging Face, LangChain, LlamaIndex or LangGraph. Experience building and managing pipelines with workflow orchestration tools (e.g., Airflow, Luigi). Ability to clearly communicate technical concepts to diverse audiences. Track record of advancing research projects from ideation to implementation. Experience with Docker and CI/CD pipelines. Experience deploying and scaling containerized workloads with Kubernetes, including Helm and GPU-backed services. Understanding of GPU acceleration, distributed training and inference optimization techniques (e.g., mixed precision, quantization, KV caching, request batching). Experience with multimodal models and cross-modal retrieval, including vision-language models. Experience with insurance data, or with regulated-industry constraints such as responsible AI review, data governance and auditability. Qualifications Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU. Ability to give effective training and presentations to peers, management and less senior business leaders. Ability to use results of analysis to persuade team or department management to a particular course of action. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Masters degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelors degree(scientific field of study) and a minimum of 5+ years of relevant experience. About Us Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices California Los Angeles Incorporated Los Angeles Unincorporated Philadelphia San Francisco

About The Role The role focuses on building production LLM systems - not demos. Expect to own RAG architectures, agentic workflows, evaluation pipelines, and inference optimization that serve real users at scale. The work sits at the intersection of applied research and software engineering: translating state-of-the-art techniques into reliable, observable, cost-efficient services alongside a team of ML engineers and platform engineers. Key Responsibilities Design, build, and ship LLM-powered features - RAG pipelines, agents, structured extraction - using LangChain, LlamaIndex, or custom orchestration layers Integrate and optimize vector stores (Pinecone, Weaviate, pgvector) and embedding pipelines for retrieval quality and latency targets Build systematic evaluation harnesses: golden datasets, LLM-as-judge scoring, regression suites, and guardrail testing before every release Fine-tune and adapt open-weight models (Llama, Mistral, Qwen) using LoRA/QLoRA and distillation on domain-specific data Optimize inference for cost and latency - quantization, batching, caching strategies, and vLLM or TensorRT-LLM deployment Instrument LLM applications with tracing, observability, and monitoring (LangSmith, OpenTelemetry, custom dashboards) to catch drift and degradation Collaborate with product and design teams to translate ambiguous requirements into scoped, testable AI capabilities What We Are Looking For 3–6 years of software engineering experience, with at least 1–2 years building and shipping LLM/GenAI systems in production Strong Python engineering skills; comfort with async code, API design, and type-checked codebases Hands-on experience with RAG in production: chunking strategies, hybrid retrieval, reranking, and hallucination mitigation Practical knowledge of transformer architectures, prompt engineering limits, and when to fine-tune vs. prompt vs. retrieve Experience deploying models on cloud infrastructure (AWS, GCP, or Azure) with Docker/Kubernetes BS/MS in Computer Science, a related technical field, or equivalent practical experience Bonus: experience with agent frameworks (LangGraph, CrewAI), GPU profiling, multimodal models, or contributions to open-source LLM tooling

Position Company : Liberty Mutual Insurance Location : Columbus, Ohio Posted On : 10/7/2026 Description At GenAI Research and Solution (part of deep learning research team within modeling sophistication, DSE), we research and build generative AI (GenAI) capabilities that go directly into Liberty Mutual products. We fine-tune small language models (SLMs), design retrieval and agentic pipelines, explore creative ways to embed Libertys data in products, and hold all these solutions to a high bar for accuracy, grounding, latency and cost. Our team emphasizes technical rigor, reproducibility and methodological innovation, and we work close to the business so that research turns into products our customers use. As an individual contributor on the team, you will provide technical leadership, design, build and deploy GenAI solutions end to end from research prototype to production service. You will fine-tune and evaluate small language models, build pipelines such as retrieval-augmented generation (RAG), and variants such as corrective RAG and agentic orchestration, and partner with engineers to run them reliably on our Kubernetes and other deployment platforms. This is a deeply hands-on role with room to shape methodology and influence how GenAI shows up across our products. Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. Responsibilities Design, fine-tune and deploy language model based solutions, from research and experimentation through production implementation. Fine-tune and distill small language models for domain-specific insurance tasks, balancing accuracy, latency and cost. Build and improve GenAI pipelines, including RAG, corrective RAG and agentic orchestration with tool use, planning loops and memory. Develop and maintain scalable data, document and embedding pipelines, applying MLOps and LLMOps best practices for reproducibility, deployment and monitoring. Design evaluation suites and guardrails for GenAI use cases, covering groundedness, accuracy, safety and regression testing as models and prompts change. Containerize and ship solutions on Kubernetes, partnering with engineering teams to operationalize them in production environments. Research and prototype new methods for training, adapting and evaluating generative models, and share what works with the wider team. Communicate findings through technical presentations, reports and recommendations to both technical and non-technical stakeholders. Participate in cross-functional working groups and contribute to the broader data science community to promote best practices. Preferred Qualifications Ph.D. in Statistics, Computer Science, Mathematics, Economics, Actuarial Science or a related quantitative field with 2+ years of relevant experience; or Masters with 4+ years; or Bachelors with 6+ years. Demonstrated expertise with transformer-based language models, including fine-tuning techniques such as parameter-efficient fine-tuning (LoRA/QLoRA) and instruction tuning. Hands-on experience building GenAI pipelines, including retrieval design, chunking and embedding strategies, vector search and agentic tool use. Strong foundation in machine learning, statistics, experimental design and model evaluation metrics, including the evaluation of generative output. Proficiency in Python and MLOps practices, with experience in version control (Git), code review, collaborative development workflows (e.g., GitHub/GitLab) and model versioning/experiment tracking (e.g., MLflow). Proficiency in PyTorch and the GenAI ecosystem, such as Hugging Face, LangChain, LlamaIndex or LangGraph. Experience building and managing pipelines with workflow orchestration tools (e.g., Airflow, Luigi). Ability to clearly communicate technical concepts to diverse audiences. Track record of advancing research projects from ideation to implementation. Experience with Docker and CI/CD pipelines. Experience deploying and scaling containerized workloads with Kubernetes, including Helm and GPU-backed services. Understanding of GPU acceleration, distributed training and inference optimization techniques (e.g., mixed precision, quantization, KV caching, request batching). Experience with multimodal models and cross-modal retrieval, including vision-language models. Experience with insurance data, or with regulated-industry constraints such as responsible AI review, data governance and auditability. Qualifications Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU. Ability to give effective training and presentations to peers, management and less senior business leaders. Ability to use results of analysis to persuade team or department management to a particular course of action. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Masters degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelors degree(scientific field of study) and a minimum of 5+ years of relevant experience. About Us Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices California Los Angeles Incorporated Los Angeles Unincorporated Philadelphia San Francisco

Job Description Summary GE Vernova is embracing cutting-edge technologies to streamline operations, improve customer experiences, and drive growth. As part of this vision, we are building a dedicated team to leverage Generative AI and redefine how we engage with our industry. The ultimate goal of the team is to automate prompting, develop a framework for prompting across use cases to maximize reuse as well as sharing across businesses. We are seeking a highly motivated and talented AI Engineer to join our dynamic team. The successful candidate will be responsible for creating and optimizing prompts for LLMs, collaborating with domain experts and end users to develop software solutions that address both internal and external needs. This position offers a great opportunity to work at the intersection of advanced technology and traditional industry, making a tangible impact on our business processes. As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy[1]focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. Job Description Responsibilities: Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts. Develop, test, and refine prompts for a variety of use cases, ensuring high accuracy and relevance in generated outputs. Work closely with software developers to integrate LLM solutions into existing or new applications. Contribute to the development of a scalable framework for prompt engineering, promoting reuse and knowledge sharing across different business units. Assist in gathering and analyzing user feedback to continually improve prompt effectiveness. Stay up-to-date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection. Document prompt engineering processes, best practices, and use case outcomes to build a comprehensive knowledge base. Requirements: 10+ years of relevant experience and a Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields. Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Ideal Candidate Characteristics: PhD degree in Computer Science, AI, ML, Engineering, Data Science, or related field 3+ years of experience with prompt engineering and familiarity with tools such as OpenAI's GPT models, Hugging Face, etc. 5+ years of experience with Python or other programming languages commonly used in AI/ML development . Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy). Previous experience or internships involving NLP or machine learning projects. Familiarity with version control systems like Git. Understanding of traditional industry operations and challenges. Strong problem-solving skills and attention to detail. Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Ability to work collaboratively in a team environment and adapt to changing project requirements GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $131,700.00 and $219,300.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on September 01, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

GiveDirectly has delivered more than $1B in cash directly to 2+ million people living in poverty across 15 countries since 2011. We believe cash transfers are one of the most scalable, cost-effective, and dignified forms of aid, with the research to back it up. Our work has been covered by The Economist , NPR , TED , and The Washington Post . We are one of Time100's Most Influential Companies of 2026. We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. Our culture is candid, analytical, and non-hierarchical. We support high ownership and real professional growth. Curious about what it's really like to work here? Read our values and hear from the people who do . If they resonate, this could be a great fit! About this role GiveDirectly is building a faster model for humanitarian response – using data, technology, and partnerships to identify people affected by crises and deliver cash within days. Making that possible requires legal pathways that can be established before a crisis and activated quickly when one occurs. We are seeking a Counsel to build and lead that legal model. Approximately 70% of the role will focus on Emergency Cash, from preparing for future responses to leading the legal and regulatory work required during an active emergency. When a response is underway, EC work will take priority. You will also serve as legal partner to GiveDirectly's U.S. programs, which work with governments, funders, researchers, and community organizations to deliver cash to low-income Americans. The portfolio includes programs such as Rx Kids, guaranteed-income initiatives, and housing-stability programs. You will help teams design and expand these programs, structure partnerships, and navigate the legal issues affecting delivery and recipients. This is a delivery-focused role for a practical lawyer who can build for scale, exercise clear judgment under pressure, and help ambitious programs move from idea to implementation. Reports to: Head of Legal Level : Senior Manager Location: Remote, with a requirement to overlap with an East Africa timezone by at least 3 hours. We can only employ people in certain places at the moment, so it's worth checking our current list of eligible countries to see if yours is included. If you're based elsewhere, it's not an automatic no, but do flag it early with your recruiter. We are unable to sponsor or take over sponsorship of employment visas in the U.S. or U.K. at this time. Travel Requirement: ~ 3–4 trips per year, plus travel as needed during active emergency responses. What you'll do: Build and deliver the Emergency Cash legal model Serve as the primary legal partner to Emergency Cash across program strategy, design, launch, and delivery. Build a repeatable legal model for emergency responses, including approaches to country entry, regulatory review, government engagement, contracting, data use, and the engagement of local counsel. Develop response-readiness tools, templates, and decision frameworks that allow common issues to be addressed quickly while escalating matters requiring legal judgment. During active responses, lead the legal work needed to launch and operate on emergency timelines, providing clear recommendations when information is incomplete. Coordinate with country teams, program-facing Counsel, and local advisors to use existing knowledge and relationships while retaining legal ownership of the response. Apply GiveDirectly's global standards for MNO data and remote enablement to individual responses, working with the Corporate & Strategic Affairs Counsel on novel or cross-cutting issues. Draft and negotiate the partnership, technology, vendor, data-sharing, and other agreements required to deliver emergency programs. Capture lessons from individual responses and use them to strengthen the EC legal model over time. Lead legal support for U.S. programs Serve as legal partner to GiveDirectly's U.S. programs across program design, implementation, expansion, and ongoing operations. Advise on the legal design and delivery of U.S. cash programs, including eligible recipient populations, interactions with public benefits, tax treatment and reporting, payments involving minors or caregivers, family-law considerations, privacy and data use, and state-specific requirements. Structure and negotiate program-specific agreements with governments, research institutions, community organizations, payment providers, and other partners. Develop reusable guidance for recurring issues and coordinate state-specific or specialist counsel where needed. Contribute across Legal Work with the Corporate & Business Affairs Counsel on organization-wide standards and initiatives affecting Emergency Cash or U.S. programs. Partner with the Africa Programs & Country Operations Counsel when emergency responses occur in countries within that role's portfolio. Work with Legal Operations support to delegate recurring contracting, research, coordination, and administrative work appropriately. Support other priority legal matters as needed as part of a small, global Legal team. What you'll bring: Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve. Qualification as an attorney in at least one jurisdiction, with relevant post-qualification legal experience. Experience advising on complex program, commercial, or regulatory matters in fast-moving or high-pressure environments. Strong commercial contracting skills, including drafting and negotiating complex partnership, technology, vendor, or data-related agreements. Ability to quickly understand unfamiliar legal and regulatory frameworks and advise where precedent, time, or information is limited. Strong legal and business judgment, including the ability to identify meaningful risks, assess tradeoffs, and recommend a practical path forward. Ability to translate complex legal requirements into clear, actionable guidance for colleagues without legal backgrounds. Experience coordinating external counsel, consultants, or other specialist advisors. Working knowledge of data privacy and data protection law. Ability to operate independently, manage competing priorities, and reprioritize quickly during active emergency responses. Excellent written and verbal communication skills; English fluency. Preferred: Experience in emergency response, humanitarian operations, or other crisis-context legal work. Experience supporting the launch of programs or operations in new countries. Experience with U.S. public-benefits, family-law, charitable-assistance, or government-program matters. Experience working across multiple jurisdictions, particularly in emerging markets. Experience supporting programs involving vulnerable populations or sensitive personal data. Experience in international development or another mission-driven organization. Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here . Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. United States Base Salary: $134,400 Bonus at Target Performance: 10% (~$13,440, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be $15,724 in 2025) Estimated Total Compensation at Target: $147,840+ Annual Benefits Stipend: $21,393 United Kingdom Base Salary: £91,900 Bonus at Target Performance: 10% (~£9,190 with potential for upside. For reference, with the organization's current performance multiplier, this amount would be £10,752 in 2025) Estimated Total Compensation at Target: £101,090+ Annual Benefits Stipend: £2,760 Kenya Base Salary: $106,280 Bonus at Target Performance: 10% (~$10,628, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be $12,434 in 2025) Estimated Total Compensation at Target: $116,908+ Annual Benefits Stipend: $8,454 This role is fully remote, so if you are not based in the US, UK or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. #LI-REMOTE Why work at GiveDirectly? At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including: A supportive team that works hard and cares hard A robust health benefits plan (exact details will vary by country) Flexible paid time off that staff is encouraged to take Allowances for desk set-up and learning and development We're committed to running an inclusive and accessible application process for all of our open roles. If there are questions or concerns you have about the accessibility of our hiring process, we warmly invite you to reach out to careers@givedirectly.org . Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person's race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of "zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation." and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority. Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject "Accommodation Needed". We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working : If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space, with a particular focus on detecting and preventing abuse of ElevenLabs' free tiers. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do: Design and build scalable backend infrastructure for abuse detection, deploying AI/ML models into production systems Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision. Requirements Direct experience tackling free-tier abuse, fraud detection, or fake-account / bot farming at scale 6+ years of backend software engineering experience building production systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record of taking products or systems from 0→1 with measurable impact, including deploying or working alongside ML/AI systems in production Bonus: Trust & Safety, Content Moderation, or Integrity engineering experience MLOps experience: deployment, monitoring, and versioning of ML models Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures Familiarity with React or modern frontend frameworks Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram', including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you're not excited to experiment, adapt, think on your feet, and learn constantly, or if you're seeking something highly prescriptive with a traditional 9-to-5. NOTE: THIS IS A REMOTE ROLE THAT WILL BE BASED OUT OF SINGAPORE. THE OPPORTUNITY This is a rare chance to be one of the first people building Deepgram's business in Asia Pacific. You will help lay the foundation of how we serve customers across APAC. You will shape the playbook rather than inherit one, work directly with our lighthouse regional customers, and have visible impact on how an AI-native company scales in one of the world's most dynamic markets. If the idea of building something from the ground up energizes you, this role is for you. Our Customer Success team, known as The Heartbeat of Deepgram, sits at the intersection of customers, product, and growth. We're not here just to "manage accounts"; we make Deepgram successful in our customers' environments by combining technical expertise with commercial impact. Customer Success Engineers are hands-on partners who ensure adoption, solve complex technical challenges, and highlight opportunities for expansion. At the same time, we bring back the insights that shape Deepgram's roadmap and the internal tools we build to support customers. WHO YOU ARE You are not a traditional CSM. You're a Customer Success Engineer, someone who thrives at the intersection of APIs, customer outcomes, and business growth. You have a strong technical foundation and are comfortable running demos, guiding architecture discussions, and helping customers integrate AI-driven solutions into their workflows. You're equally skilled at reading a room, building trust with executives, and uncovering growth opportunities that come from technical adoption. You've likely been a Technical Account Manager, Sales Engineer, Implementation Engineer, or Solutions Engineer, and you're excited to bring that blended experience to help customers realize value from day one and scale it over time. As a Customer Success Engineer, you will nurture and grow relationships with strategic customers, leading initiatives that drive adoption, enablement, and measurable business outcomes. You will own the lifecycle for assigned customers from onboarding and enablement through engagement, performance analysis, and expansion. You will be pivotal in aligning customer strategies with Deepgram's roadmap and strategy, ensuring both Deepgram and our customers achieve shared success. WHAT YOU'LL DO Act as a technical expert and strategic advisor to enterprise customers, engaging directly with developers, engineers, and executives to align business goals with technical solutions. Build, nurture, and sustain customer relationships across all personas interacting with Deepgram (from developers and program managers to CIOs, CTOs, and other C-level stakeholders). Conduct regular on-site visits with customers to partner closely, work hands-on to drive adoption, and actively embed Deepgram into their workflows. Frequent travel may be required. Own and manage the full customer lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy. Focus on making Deepgram successful in the customer's environment; ensuring products are integrated, enabled, and adopted effectively, applying best practices, reference architectures, and creative solutions to drive outcomes. Continuously operate in discovery mode, surfacing customer issues, deeply understanding their complexity and business impact, and translating them into actionable requirements for internal teams. Confidently run live product demos, guide architecture discussions, and troubleshoot technical issues, bridging the gap between solutions design and commercial growth. Maintain a deep understanding of Deepgram APIs, integrations, and AI/ML technologies. Leverage AI to amplify your impact; be an expert in how Customer Success can apply AI to drive customer outcomes, surface insights, and improve internal systems. Proactively identify and scope opportunities for expansion (cross-sell, upsell, multi-product adoption), partnering with Sales. Develop and execute structured customer success plans that align business outcomes with Deepgram's product capabilities. Proactively initiate and lead executive business reviews, joint planning sessions, and strategy workshops to stay ahead of risks, ensure alignment, and surface opportunities for growth. Serve as the voice of the customer internally, influencing product roadmap, GTM strategy, and even the internal tools and processes we build to support customers. Track, analyze, and report on key performance indicators (adoption, usage, health, satisfaction, expansion, and overall revenue impact). YOU'LL LOVE THIS ROLE IF YOU Thrive at the intersection of sales engineering, account management, and customer success. Have high EQ and a high learning index, you read the room, adapt your style, and quickly absorb technical and business complexity. Are a strong communicator who can keep many stakeholders aligned and focused, often through constant updates and over-communication on status and ownership. Are energized by technical problem-solving, live demos, and translating support questions into growth conversations or business outcomes. See customer health and technical adoption not as endpoints but as the fuel for revenue expansion. Value collaboration and thrive in high-growth, fast-paced environments where priorities shift quickly. Have a high degree of integrity and can work both collaboratively and independently in a remote WFH environment. Being self-directed is key to staying proactive. Enjoy leveraging data to guide decisions, uncover insights, and identify opportunities for program improvement. Are persistent, resourceful, and able to adapt your communication style to suit both technical and business audiences. Are thoughtful in your approach and constantly question the status quo. Just because we do things a certain way, doesn't mean it's the best way! IT'S IMPORTANT TO US THAT YOU HAVE 7-10+ years in Technical Account Management, Sales Engineering, and/or Enterprise Customer Success (with strong technical focus), at innovative, API-driven technology companies (developer-first, developer tools, or emerging AI/tech). A proven track record in roles that blend customer engagement with technical expertise, navigating between solution design, technical problem-solving, and commercial growth. Hands-on experience running product demos, POCs, or technical workshops with enterprise customers. Demonstrated success identifying expansions, cross-sell, and upsell opportunities in complex enterprise accounts. Strong technical aptitude: able to discuss APIs and developer workflows, and hold fluent technical conversations with engineers and architects. Experience engaging across technical teams (developers, architects, support) and executive buyers (CIO, CTO, VP Engineering, etc.). Exceptional interpersonal, communication and collaboration skills, with proven ability to influence internal and external stakeholders (including executives, technical teams, and sales). A strong sense of ownership and stewardship for your customers, and a keen focus on developing a strong personal brand. IT WOULD BE GREAT IF YOU HAD A background spanning solutions engineering or technical account management in addition to CSM responsibilities. Experience working in AI, machine learning, voice AI, cloud infrastructure, or developer-first technologies. Familiarity with automation tools, advanced analytics, and/or basic scripting that help you move faster and smarter. If you love operating where innovation and relationship management intersect, and you want to help build something from the ground up, we'd like to hear from you. BENEFITS & PERKS We offer best-in-class benefits, localized to your market. This includes comprehensive health coverage, generous paid time off, paid parental leave, meaningful learning and development support, and stipends to help you do your best work. Specific benefits are administered locally and governed by country-specific regulations. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them. Notice : We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @ deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world's largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com , General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner's Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024). HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world's top organizations. HackerOne Values HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability. Senior Security Engineer, Identity and Access Management Remote Location: San Francisco, California, U.S. Seattle, Washington, U.S. Austin, Texas, U.S. Washington, D.C., U.S. Boston, Massachusetts, U.S. Position Summary At HackerOne, identity is at the heart of how we protect the data we are trusted with most, our customers' vulnerabilities. We are building our Identity and Access Management capability with an AI-first approach, focused on engineering and not administration alone. As a Senior Security Engineer, you will design and deliver the access models and the automation behind them, so that people and systems can access only the right data, at the right time, in the right way. This role operates across the full identity lifecycle, from onboarding and creation through change and removal, for people, service accounts, and AI agents alike. You will help scale what a small team can accomplish by embedding automation, intelligence, and AI into how access is granted, reviewed, and removed, working toward least privilege for humans and least agency for AI. At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~50 miles of Austin TX, Seattle WA, Washington DC, San Francisco CA, or Boston MA, or within commuting distance of our London or Netherlands locations. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together, fostering collaboration, connection, and in-person moments that enrich our culture, while still preserving the benefits of remote work. What You Will Do Success in the Senior Security Engineer, Identity and Access Management role will be accomplished by delivering on the responsibilities below in alignment with the Values and Principles that define how we work at HackerOne: Own the identity lifecycle end to end, from onboarding and creation through change to removal, for people, service accounts, and AI agents alike, building the automation that grants entitlements on evidence of legitimate need and removes them seamlessly and automatically Design and build the access models on top of data classification, so that what an identity can reach follows from what the data is rather than from who asked Make time-bound access the default for critical data, so that the secure path is the easy path Engineer identity as code, keeping provisioning logic, entitlement policy, and access review rules in version control and under test across systems such as Okta, Lumos, and AWS IAM, applying First Principles Problem Solving rather than configuring by hand in consoles Build AI and LLM-powered tooling that makes access review and entitlement anomaly detection continuous rather than periodic, embedding AI First practices so unusual patterns surface when they happen rather than at audit, and decide where AI is trusted to carry an access decision and where a person still signs it off Bring non-human identities under the same discipline as human ones. Service accounts, workload identities, integrations, and AI agents each get an owner, a purpose, and an expiry, treated as the default rather than a cleanup project Continuously measure access and report the opportunity to reduce unnecessary entitlement, using Data-Driven Decision Making to prioritize where reduction matters most Partner with Engineering, Enterprise IT, and Compliance to embed identity controls into the systems they own, and support detection and incident response as the identity responder, containing access, reconstructing what an identity reached, and contributing to blameless retrospectives, demonstrating Change Agility as threats and tooling evolve Minimum Qualifications 5+ years of experience in identity and access management, security engineering, or software engineering with substantial ownership of identity systems Hands-on experience operating an enterprise identity provider such as Okta, including SAML, OIDC, SCIM, and lifecycle automation Experience managing identity across an enterprise SaaS estate such as Google Workspace, Salesforce and Workday, including SCIM provisioning and group-driven entitlements Experience with cloud IAM, ideally AWS, including policy design and short-lived credentials Strong software engineering fundamentals with proficiency in Python, Go, or a similar language, and hands-on use of AI and LLM tooling and agentic coding tools in production engineering work Preferred Qualifications Identity work in a regulated sector such as financial services, healthcare, or government, and producing access control evidence for audit against requirements such as PCI DSS, HIPAA, SOC 2, or ISO 27001 Managing identity infrastructure as code, and access request or governance tooling, for example Terraform and Lumos Mobile device management (MDM) alongside identity, for example Kandji integrated with Okta: device trust policies, platform SSO, and endpoint enrollment Non-human, workload, and privileged access: secrets management, short-lived credentials, and service-to-service authentication Building AI or LLM-powered tooling for security or identity workflows Detection and incident response for identity-centered incidents such as credential compromise, session abuse, or entitlement misuse Industry certification in identity or security, such as IDPro CIDPRO, Okta certifications, AWS Certified Security – Specialty, or CISSP Compensation Bands: Tier Guide Seattle or Washington DC $180K – $220K • Offers Equity Options Job Benefits: Health (medical, vision, dental), life, and disability insurance Equity stock options Retirement plans Paid public holidays and unlimited PTO Paid maternity and parental leave Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act) Employee Assistance Program Eligibility may differ by country We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR). Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check. HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws. This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time. For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

Veriff is looking for a commercially minded Solutions Engineer to join our EMEA team and partner closely with Sales to drive new business and accelerate revenue growth. This role is an excellent opportunity for someone who enjoys combining technology with business, thrives in a collaborative environment, and understands that Solutions Engineering is a revenue-driving function rather than traditional technical support. You'll help us protect honest people online by: Partnering with Account Executives to drive technical sales engagements, accelerate opportunities, and contribute to new business revenue. Leading technical discovery sessions to understand customer challenges, requirements, and business objectives. Delivering compelling product demonstrations that showcase Veriff's value proposition and competitive advantages. Managing technical evaluations and proof-of-concept engagements to validate solutions and drive opportunities toward successful technical outcomes. Proactively identifying and resolving technical objections and deal blockers that could impact sales cycles. Translating complex technical capabilities into clear business value for both technical and non-technical stakeholders. Collaborating with Sales, Product, and other internal teams to share customer insights and identify opportunities for improvement. Contributing to reusable demonstrations, technical sales materials, and initiatives that improve the efficiency and effectiveness of our sales process. You are the right future Veriffian for the job if you have: 2+ years of experience in Solutions Engineering, Sales Engineering, technical pre-sales, or a similar customer-facing technical role. A strong commercial mindset and an understanding of how technical expertise contributes to revenue generation and winning business. Solid technical knowledge of REST APIs, SDKs, webhooks, JSON, and modern integration architectures. Hands-on experience with API testing tools such as Postman. Experience conducting technical discovery, delivering product demonstrations, and supporting proof-of-concept engagements. Excellent communication and presentation skills, with the ability to engage technical and business stakeholders. A proactive, self-starter mentality with the ability to take ownership of opportunities, prioritize effectively, and work independently. A collaborative, team-first approach and the ability to build strong relationships with Account Executives and cross-functional teams. Strong organizational skills and the ability to manage multiple opportunities simultaneously. Professional fluency in English, both written and spoken. You're an especially awesome match if you have: Previous experience in identity verification, KYC/AML, fraud prevention, fintech, or payments. Familiarity with European regulatory frameworks such as GDPR, eIDAS, or financial services compliance requirements. Proficiency in additional European languages, such as Spanish, German, French, or Portuguese. Experience supporting enterprise sales cycles, RFPs, or competitive technical evaluations. Programming experience with JavaScript, Python, or mobile development frameworks. Familiarity with sales methodologies such as MEDDICC or experience using Salesforce. Why Veriff? We are the preferred identity verification platform partner for the world's most innovative growth-driven organizations helping conveniently verify and safeguard users anywhere in the world. We support the broadest number of identity documents from nearly every country and territory in the world - and this is continually increasing! With a diverse team in the United States, United Kingdom, Spain, and Estonia, as well as robust backing and funding from investors including Accel, Alkeon, IVP, Tiger Capital, and Y Combinator, we're dedicated to helping businesses and individuals build a safer and more secure world. We strive to be the benchmark for trust online, and we take pride in being a positive force. When you join Team Veriff, we offer you the opportunity to have a real impact and advance your career, while looking after you along the way with a range of benefits designed with you in mind. Some of our favorites include... Flexibility to work from home Stock options that ensure your share in our success Extra recharge days on top of your annual vacation Extensive medical, dental, and vision insurance to ensure you're feeling great physically and mentally Learning and Development & Health and Sports budget that you are free to tailor to your own needs Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary We are an Equal Opportunities employer committed to a diverse and representative team. Different opinions, perspectives and personalities push us forward. We want to hear from people who are passionate about their work and align with our values. Regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability. We also know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates - so rest assured, whoever you are, we want to hear from you! Please be informed that in the final stage of the recruitment process we may request you to go through identity verification. For more information, please see Recruitment Privacy Policy . #SPBTAL #LI-Remote

Introduction to Demandbase: Demandbase is the only pipeline AI platform that empowers GTM teams to automate growth at scale. With a unified view of data, insights, actions, and outcomes, B2B enterprises can seamlessly align and execute their account-based GTM strategies with confidence. Thousands of businesses trust Demandbase to maximize revenue, minimize waste, and consolidate their data and tech stacks – all in one platform. As a company, we're as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have also continuously been recognized as One of The Best Places To Work in the San Francisco Bay Area by Fortune, and One of The 60 Best Companies To Sell For by Selling Power. Our offices are located in San Francisco, New York, Austin, Seattle, India, and the United Kingdom. About the Role: As an Advertising Campaign Strategist (ACS) at Demandbase, you'll play a critical role in helping our customers realize the full value of their investment in our advertising solutions. You'll act as a strategic advisor and media expert—ensuring campaign success, driving full media utilization, and delivering actionable insights that demonstrate measurable business value. The ACS is a hybrid of campaign manager, data analyst, and customer success partner. You'll work cross-functionally with our Ad Ops, Product, and GTM teams to execute high-impact advertising campaigns while helping Demandbase achieve its internal revenue goals. This role is positioned for growth into a Senior or Lead position. What you'll be doing: Manage a book of ~20 customer accounts (volume may vary by segment) Drive full utilization of booked media budgets through strategic execution and performance storytelling Build and manage customer audience journeys and campaign briefs Deliver compelling, insight-driven reports that support renewals and expansion Collaborate with cross-functional partners (CSMs, Ad Ops, Sales) to align campaign strategy and timelines Surface optimization opportunities and serve as the voice of the customer in internal planning Contribute to special projects, tiger teams, and the evolution of internal tools, templates, and processes Support campaign launches and ensure impressions are served to drive accurate billing What we're looking for: Minimum 3 years of experience in digital advertising, ideally with a B2B focus Experience in a customer-facing account management role, supporting mid-market and/or enterprise clients Proven ability to translate campaign metrics into clear, actionable insights that demonstrate business impact Strong analytical skills to evaluate success against performance targets Strong technical proficiency with tools like Salesforce, Excel, and PowerPoint Experience buying and/or planning digital advertising campaigns is a plus Benefits: We offer a comprehensive benefits package designed to support your health, well-being, and financial security. Our employees enjoy up to 100% paid premiums for Medical and Vision coverage, ensuring access to top-tier care for you and your loved ones. In addition, we provide a range of mental wellness resources, including access to Modern Health, to help support your emotional well-being. We believe in a healthy work-life harmony, which is why we offer a flexible PTO policy, 15 paid holidays in 2026—including a three-day break around July 4th and a full week off for Thanksgiving—and No Internal Meetings Fridays to give you uninterrupted time to focus on what matters most. For your financial future, we offer a competitive 401(k) plan, short-term and long-term disability coverage, life insurance, and other valuable benefits to ensure your financial peace of mind. Our Commitment to Diversity, Equity, and Inclusion at Demandbase At Demandbase, we believe in creating a workplace culture that values and celebrates diversity in all its forms. We recognize that everyone brings unique experiences, perspectives, and identities to the table, and we are committed to building a community where everyone feels valued, respected, and supported. Discrimination of any kind is not tolerated, and we strive to ensure that every individual has an equal opportunity to succeed and grow, regardless of their gender identity, sexual orientation, disability, race, ethnicity, background, marital status, genetic information, education level, veteran status, national origin, or any other protected status. We do not automatically disqualify applicants with criminal records and will consider each applicant on a case-by-case basis. We recognize that not all candidates will have every skill or qualification listed in this job description. If you feel you have the level of experience to be successful in the role, we encourage you to apply! We acknowledge that true diversity and inclusion requires ongoing effort, and we are committed to doing the work required to make our workplace a safe and equitable space for all. Join us in building a community where we can learn from each other, celebrate our differences, and work together. Unsolicited Submissions At Demandbase, we value thoughtful partnerships and direct connections with candidates. We're not accepting unsolicited resumes or outreach from third-party recruiting agencies. Any unsolicited submissions will not be reviewed, and no fees will be paid.

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there's one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. More broadly, Discord is about empowering people to find belonging in all kinds of communities, and those people trust us to keep their communications safe. Our Platform Security Engineering team protects the systems we use to create Discord, making the "secure way" the "easy way." We're looking for an Engineering Manager to lead a team of software engineers in articulating and pursuing the most leveraged opportunities to reduce security risk across Engineering. This team will design and build lovable "paved paths" for managing identities and access, shipping code, configuring cloud infrastructure, and operating services. If you're an Engineering Manager who's deeply curious, eager to own technically and socially complex projects, and excited to improve security and privacy at Discord, read on! What you'll do You'll shape company-wide security strategy and lead a highly-autonomous and horizontally-integrated team of software engineers who will... Develop and apply best-in-class secure baselines for cloud infrastructure, owning the security of all cloud environments Manage infrastructure vulnerabilities while supporting a high-velocity engineering org with hundreds of developers Secure first- and third-party software supply chains, from the dev environment through CI/CD and into production Build and operate identity and access management (IAM) systems for humans and machines that are user-friendly and promote least privilege Consult on risk assessments, architectural designs, threat models, code reviews, and more—pragmatically balancing security with other business considerations What we look for 3+ years of experience as people manager, having managed a team of 3+ security software engineers Passion for creating diverse and inclusive teams and coaching engineers 3+ years of experience securing systems with millions of users Comfort with writing the roadmap, not just following one Experience building in and securing cloud-based environments (we use GCP, Cloudflare, and AWS) Expert reasoning about the security of complex systems, even if they contain unfamiliar components Experience writing software in a general-purpose programming language (we use Python, Typescript, and Rust) Experience developing with agentic AI, and a good grasp of AI security practices Bonus points if you have… Understanding of modern authentication and authorization concepts (e.g. RBAC, OAuth, Zero Trust network architectures, mTLS) Familiarity with build and CI/CD technologies (e.g. Terraform, Bazel, Buildkite, Spacelift) Experience defining and orchestrating containers (e.g. via Kubernetes, Docker, Distroless, OCI) and serverless workloads (e.g. Cloudflare Workers) Experience with running and operationalizing security platforms such as Wiz This position is West Coast (U.S.) based and can be remote but if you live in the Bay Area, you're welcome to work from our beautiful SF office. The US base salary range for this full-time position is $248,000 to $310,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord's collection and usage of personal information relating to the application and recruitment process by clicking HERE.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Vendor Admin Lead to own vendor master data for our global Finance Operations team. Reporting to the Director of Global Accounts Payable, you will be the single point of accountability for who our vendors are and get paid: onboarding, bank-detail verification, supporting documentation vetting, data quality and the controls around all of it. Anthropic's vendor base is growing quickly across the US, Europe and Asia-Pacific, and a clean, verified vendor data is what keeps a fast-growing company scale with the necessary controls.  This role is deliberately separate from invoice processing and payments. You will control vendor records and bank details; you will not book invoices or move money. That separation is the point of the role, and you will own the SOX controls that enforce it and help design the access model that keeps it that way. This is an opportunity to build a vendor-master function from the ground up and leverage process automation with Claude while supporting the team making AI safe. Responsibilities Supplier onboarding Run intake for every new vendor and payee: validate completeness, collect and verify supporting documentation, and enable records in the ERP backbone system against agreed service levels Validate supporting documents; set 1099-reportable and tax flags correctly Confirm third-party risk and restricted-party screening before activation Set up one-time and non-vendor payees with the right record type rather than forcing them through full onboarding Partner with TPRM and IA teams on control requirements and continuous process improvement   1099 annual reporting  Bank details and fraud prevention Own every bank-detail setup and change; validate against a bank letter on letterhead or an approved equivalent (void checks,  etc.) Run independent callbacks per policy using contact details sourced independently of the request, and record the evidence Validate international bank formats and addresses (IBAN, SWIFT/BIC, ABA, SEPA, BSB, IFSC, Japanese bank/branch codes) Identify and escalate business-email-compromise attempts and other payment-fraud red flags Data quality and maintenance Maintain vendor structure: parent/child and remit-to relationships, entity and country records, contacts and payment terms Lead vendor consolidation: eliminate duplicate vendors and bank accounts, execute merges and inactivations in batched, logged, reviewed changes Run periodic health reviews for dormant vendors, stale bank letters, missing tax forms and incomplete records; drive 1099 and TIN readiness for year-end Own periodic vendor deactivation campaigns Controls and audit Own the vendor-master SOX controls as the named control owner: maker-checker on every create and change, change-log review, evidence retained on every record Prepare the periodic review of bank-detail changes paid, and address Internal Audit and external auditor requests Partner with Finance Systems to design and maintain ERP security roles so vendor master, invoicing and payments stay separated Flag any suspicious vendor set-up activity through the appropriate channels Process, systems and improvement Own vendor-master documentation, intake checklists, requester guidance and service levels Serve as the vendor-data expert through process migrations, including data conversion and post-migration fixes Partner on automation: AI-assisted intake validation, document extraction, bank-format checks and a vendor self-service portal Report monthly on onboarding volume, cycle time, bank changes, exceptions and data quality, and use the data to improve the process Minimum qualifications 7+ years in vendor master or AP operations with 3+ years of ownership Owned a vendor master in an ERP end to end — process, controls and data — across multiple entities and countries Hands-on experience verifying bank details and preventing payment fraud: bank letters, independent callbacks, BEC red flags, international bank formats Experience with vendor tax documentation: W-9/W-8 validation, TIN matching, VAT/GST IDs, 1099 flagging Working knowledge of procure-to-pay controls — segregation of duties, maker-checker, change logs, audit evidence — and have performed or owned a SOX control Led a vendor data cleanup, consolidation or ERP migration and can show the outcome The confidence to hold the line with requesters, vendors and senior stakeholders under time pressure while staying clear and helpful Strong Excel or Google Sheets skills with large datasets (dedupe, lookups, reconciliations) and exceptional attention to detail Preferred qualifications Workday Financials vendor management, and experience with Zip, Coupa or a similar procure-to-pay platform SOX experience at a public company or one preparing to go public Experience supporting APAC and EMEA vendors in a high-growth, multi-entity company Experience designing or reviewing ERP security roles with a systems team Comfort using AI tools to automate validation, follow-ups and reporting The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $230,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.