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Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE ROLE Sierra’s AI agents depend on foundation models to reason and act in real time. The Inference team builds the systems that make those models fast, reliable, and efficient at scale. As a Software Engineer on Inference, you’ll help define Sierra’s inference architecture across both self-hosted models and third-party inference providers. You’ll work on the systems responsible for serving and routing inference, managing capacity and quota, and optimizing for latency, reliability, and cost. This is a systems-first role at the intersection of distributed infrastructure and AI. You don’t need to be an ML researcher—we’re looking for engineers who love complex systems problems and are excited to apply that expertise to one of the fastest-moving areas of AI infrastructure. WHAT YOU'LL DO - Partner with frontier labs and providers. At our scale, we rely on frontier labs, and inference providers to supply capacity, training and inference infrastructure. - Shape Sierra’s inference architecture. Design how inference traffic flows across models, infrastructure, and providers, including new serving and proxy layers as Sierra scales. - Build for low latency and high reliability. Develop systems for routing, failover, capacity management, and quota that keep inference performant and available across large-scale production workloads. - Build and operate self-hosted inference. Run models on GPU infrastructure, from building containers and operating inference engines to managing the underlying compute capacity. - Optimize inference performance. Work with the Applied Research team on techniques such as speculative decoding and serving-engine optimizations that improve latency, throughput, and cost. - Build across a hybrid inference stack. Work with both Sierra-managed infrastructure and leading inference platforms, making architectural decisions about where and how workloads should run. - Push the serving stack forward. Work closely with inference providers to tune engines and infrastructure for Sierra’s workloads. - Support the broader model lifecycle. Contribute to infrastructure that enables post-training while partnering closely with our Models and Agent Runtime teams. WHAT YOU'LL BRING - Deep systems thinking and strong distributed systems fundamentals. - Experience designing, building, and operating large-scale production systems. - Strong judgment around tradeoffs involving latency, reliability, capacity, and cost. - Experience taking ownership of complex infrastructure from architecture through production operation. - Excitement about applying systems expertise to AI infrastructure and learning quickly as the underlying technology evolves. EVEN BETTER - Experience with ML infrastructure, MLOps, or production inference systems. - Experience serving LLMs or other large models at scale. - Experience operating self-hosted inference and GPU infrastructure. - Familiarity with inference frameworks such as vLLM or SGLang. - Experience with post-training infrastructure or inference-performance optimization. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco; Toronto; New York; Montreal; Seattle 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 distributed systems engineers and product-minded generalists to build the distributed runtime that powers large-scale LLM inference on Baseten. Our inference platform empowers customers to deploy and operate cutting-edge models with industry-leading performance, scalability, and reliability. It also powers Model APIs, our hosted endpoints for the latest open-source models. You'll work across the stack, from the developer experience customers use to deploy models, through the libraries behind features like tool calling and reasoning, down to the systems that orchestrate deployments on Kubernetes and route traffic efficiently. Your job is to make sure every model on our platform is fast, reliable, and cost-efficient. You'll join a small, high-impact team at the intersection of distributed systems, model performance, infrastructure, and product, helping define how developers use AI models at scale. This role is ideal for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users.   EXAMPLE INITIATIVES You'll get to work on these types of projects on our Inference Platform: - The Baseten Inference Stack at NVIDIA Dynamo Day https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/ - 2x faster inference with KV cache-aware routing https://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/ - How Baseten multi-cloud capacity management (MCM) unifies deployments https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/#comparing-deployment-options-cloud-vs-self-hosted-vs-hybrid RESPONSIBILITIES - Build the infrastructure and orchestration systems that deploy and run large-scale distributed LLM inference, including routing, autoscaling, scheduling, and runtime management. - Design, build, and operate Model APIs, with a focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling, and multimodal serving. - Implement platform fundamentals such as API versioning, validation, usage metering, quotas, and authentication. - Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks for speed, reliability, and quality. Help set best practices for testing, release automation, and operational excellence. - Debug and harden complex production systems spanning Kubernetes, distributed runtimes, networking, and GPU workloads to improve reliability and scalability. - Partner with Inference Performance engineers and other teams to make new optimizations broadly available to customers and easy to configure. - Own projects end to end, from architecture through deployment, monitoring, and iteration on customer feedback. Along the way, make thoughtful tradeoffs between performance, reliability, operational simplicity, and developer experience.   REQUIREMENTS - Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field, or equivalent practical experience. - 3+ years building and operating distributed systems, backend infrastructure, or large-scale APIs where reliability, latency, and scale are first-class concerns. - A proven track record of owning low-latency, reliable backend services, including rate limiting, auth, quotas, metering, and migrations. - Infrastructure instincts with a feel for performance: profiling, tracing, capacity planning, and SLO management. - Comfort debugging performance and reliability issues across multiple layers of the stack, from application behavior down to runtime and infrastructure internals. - A strong sense of developer experience. You think about how systems are used, not just how they work. - Eagerness to learn new languages, frameworks, and systems, and a real interest in inference engineering. Prior ML or LLM experience isn't required, though experience with model serving or inference systems is a plus. - Excellent written communication and collaboration skills, including writing clear design docs and working across functions.   NICE TO HAVE - Experience with or contributions to LLM inference engines and frameworks such as vLLM, SGLang, TensorRT-LLM, TGI, or Dynamo. - Deep Kubernetes experience, including operators and custom resources, plus familiarity with service meshes or API gateways. - Experience with distributed scheduling, autoscaling, or service orchestration. - Experience operating GPU workloads in production. - A background in developer-facing infrastructure or APIs, or contributions to open-source infrastructure or ML systems. - Familiarity with observability tooling, CI/CD systems, or release automation. 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).

Location: San Francisco; Toronto; New York; Montreal; Seattle 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 inference performance engineers who want to make the world's most demanding AI workloads run faster and more efficiently. You'll work across the stack, from the inference engine and runtime through scheduling, serving, and routing. Along the way you'll apply techniques like prefill/decode disaggregation, speculative decoding, and KV-cache management. You'll reason from first principles about where time and memory go, find what's holding performance back, and close the gap. Your work directly impacts how fast our customers' models run and how efficiently we serve them. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM inference.   EXAMPLE INITIATIVES You'll get to work on these types of projects as an Inference Performance engineer: - Agentic Kernels in Production https://www.baseten.co/blog/agentic-kernels-in-production/ - How we built the new fastest API for GLM-5.2 https://www.baseten.co/blog/how-we-built-the-new-fastest-api-for-glm-52/ - Live draft model training for speculative decoding https://www.baseten.co/blog/live-draft-model-training-for-speculative-decoding/#eliminating-traditional-bottlenecks - Making Kimi K3 Tokenization 18x faster https://www.baseten.co/blog/making-kimi-k3-tokenization-18x-faster-for-million-token-agentic-workloads/ - The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/ - Driving model performance optimization https://www.baseten.co/blog/driving-model-performance-optimization-2024-highlights/ RESPONSIBILITIES - Implement and productionize cutting-edge inference techniques, working deep in runtime internals. That includes quantization, speculative decoding, KV-cache reuse, chunked prefill, LoRA, guided generation for structured outputs, and custom scheduling and routing algorithms. - Profile and optimize inference end to end, from kernel launch overhead and memory layout up to request scheduling, prefill/decode disaggregation, and cache-aware routing. Run cross-layer investigations, such as tracing a tail-latency regression from request timing through routing and batching down to a kernel. - Turn performance into cost savings. Improve tokens per GPU-hour, raise utilization, and give customers and internal teams clear latency/throughput/cost tradeoffs. - Bring up and tune new model architectures on new hardware quickly, often in the same week they're released. - Build benchmarking frameworks that measure real-world performance across model architectures, batch sizes, sequence lengths, and hardware configurations. - Contribute upstream to open-source inference engines (vLLM, SGLang, TensorRT-LLM), and partner closely with model, infrastructure, and customer-facing teams to ship wins.   REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. - Experience with one or more general-purpose programming languages, such as Python or C++. - Familiarity with LLM optimization techniques (e.g., quantization, speculative decoding, continuous batching). - Strong familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM. - Demonstrated interest and experience in LLMs. - Deep understanding of GPU architecture.   NICE TO HAVE - Proficiency in enhancing the performance of software systems, particularly in the context of large language models (LLMs) - Contributed to vLLM, SGLang, TensorRT-LLM, or another inference engine. - Worked on large-scale distributed serving: autoscaling, load balancing, multi-region or multi-cloud capacity. - Written or optimized GPU kernels (CUDA, Triton, CUTLASS, or similar) - Worked on quantization (FP8/FP4, AWQ, GPTQ) or speculative decoding in production. - Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions. 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).

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Product team The Product team listens to our customers’ needs and translates those insights into a clear product vision. The team works closely with design, engineering, and analytics to build scalable financial products that empower people to manage their money with confidence. We rely on empathy, curiosity, and business sense to prioritize features and improve experiences. Our role is to lead with clarity, support cross-functional execution, and champion the user in every decision. About the role Millions of people use the Affirm Card, but we don’t yet give them a reason to keep coming back beyond the product itself. You’ll build our consumer loyalty program from scratch: what people earn, how they move up, and why Affirm becomes their default way to pay. What you’ll do Own the vision and roadmap for Affirm’s consumer loyalty program, setting the hypotheses, success metrics, and sequencing across multiple quarters Launch the first version of rewards and tiers, including earn mechanics, member benefits, redemption, and the surfaces that make the value obvious in app, at checkout, and after a purchase Build the engagement loops (progress, milestones, personalized offers) that turn a one-time borrower into someone who reaches for Affirm every week Own the program economics: reward liability, funding mix across merchant-funded offers, interchange and network incentives, and the case for incremental GMV against cost per member Set up the measurement foundation for loyalty, including holdouts, incrementality testing and long-run LTV, then tune earn and burn rates and tier thresholds off what the data says Partner with Risk, Credit, Legal, Compliance, Finance and Marketing to design rewards that are compliant and clearly disclosed, with no hidden fees or fine print that surprises people Align senior stakeholders and pull together dependencies across Card, Shopping, Servicing and Marketing, leading embedded engineering and design pods through a lot of ambiguity What we look for 8+ years in Product Management, with a track record in consumer mobile apps, fintech, or neobanks Built or scaled a loyalty, rewards or engagement program: card rewards, points, tiers, subscription benefits, or something equivalent. You know earn and burn mechanics and what makes a program pay for itself History of launching products from scratch, not just optimizing what already exists Owned repeat usage, cohort retention or share of wallet as a primary metric, and know which levers actually move them Comfortable building the financial model yourself and defending reward cost, funding mix and payback to Finance and leadership Strong UX instincts and a high bar for design. You know the difference between a reward that feels good and a badge buried in a settings menu Deep fluency in experiment design, incrementality/attribution, and LTV measurement; data chops (SQL/Amplitude-level self-serve) and a bias for shipping, learning and iterating quickly Track record shipping consumer financial or regulated products; comfort partnering with Risk/Credit, Legal, and Compliance Excellent cross-functional leadership, including experience leading without authority AI tools like Claude Code, Cursor, and others to research, analyze and prototype, and help develop better product vision Bachelor’s degree in a related field or equivalent practical experience Base Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000 USA base pay range (all other U.S. states) per year: $204,000 - $264,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role:  The Sr. Accounting Transformation Lead is responsible for supporting the SVP, Global Controller to advance the maturity, scalability, and effectiveness of the company's accounting operating model. This role will partner closely with the global leadership team to identify, prioritize, plan and execute accounting transformational initiatives that support the company's growth and long-term strategic objectives. With the Global Controller, this leader will co-develop and drive accounting transformation spanning organizational design, process standardization, technology enablement, public-company readiness. The successful candidate will combine proven experience in accounting and strategy development, change management, operational excellence.  Sr. Accounting Transformation Lead should have exceptional project management skills along with exceptional communication experience and demonstrated success with delivering excellence for stakeholders. Responsibilities Accounting Transformation Strategy Assess current-state capabilities across people, processes, technology, data, governance, and controls and identify opportunities to strengthen the accounting operating model. Translate strategic priorities into project plans with measurable objectives, milestones, dependencies, resource requirements, and expected business outcomes. Process Excellence & Global Standardization Identify opportunities to simplify, harmonize, automate, and strengthen core accounting processes, including record-to-report, financial close, reconciliations, consolidation, intercompany accounting, financial reporting, and other controllership activities. Manage the development of clearly defined roles, responsibilities, policies, procedures, and performance expectations. Partner with accounting leaders to reduce manual processes, eliminate unnecessary complexity, improve close efficiency, and strengthen the quality and timeliness of financial information. Technology Automation Identify opportunities to leverage automation, analytics, artificial intelligence, workflow solutions to improve efficiency, accuracy, controls, and decision-making. Partner with Technology and business stakeholders to define requirements, prioritize investments, and ensure successful design and implementation of finance technology solutions. Promote simplification and standardization of systems and data while reducing reliance on fragmented tools and manual processes. Public Company Readiness Project manage the critical accounting readiness activities associated with SEC-compliant financial reporting, disclosure processes, close and reporting timelines, supporting documentation, and reporting governance. Identify and assist in resolving gaps that could impact IPO timing or sustainable public-company operations. Change Leadership Provide clear, concise reporting to senior leadership regarding transformation priorities, progress, risks, decisions, and resource requirements. Lead change-management efforts necessary to drive adoption of new processes, technologies, organizational structures, and ways of working. Build strong relationships across functions and geographies and influence stakeholders at all levels of the organization. Promote continuous improvement, accountability, collaboration, and operational excellence across the global Accounting organization. Qualifications Bachelor's degree in Accounting, Finance, Business Administration, or related field; CPA strongly preferred. Approximately 12+ years of progressive experience in accounting, controllership, finance transformation, with significant leadership experience in complex, high-growth organizations. Experience leading large-scale Finance or Accounting transformation initiatives involving multiple functions, geographies, systems, and stakeholders. Demonstrated experience redesigning and standardizing accounting processes and operating models. Strong understanding of finance technology ecosystems, including ERP, consolidation, financial reporting, close management, reconciliation, workflow, automation, and data/analytics solutions. Prior experience in public accounting and/or a large, complex multinational organization is a plus. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Sr. Accounting Transformation Lead, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $150,000 to $206,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.   Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:  Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave  401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!   We can’t wait to meet you.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Frontier AI is on track to be among the most consequential and most adversarially-targeted technology in the world. The capability curve is steep, the adversaries who want these systems are extremely well-resourced, and the security bar this will eventually require is well beyond where the industry operates today. Incremental hardening alone is not going to close that gap, so we need breakthroughs and a group of people to go find them. Security Labs is that team. We run a portfolio of high-risk, high-expected-value security projects: the work that seems impractical until someone optimistic and stubborn enough actually tries it. Projects run on the order of weeks rather than quarters, and each one is either handed off to the Anthropic team that will own it in production or wound down with a writeup of what we learned. We expect a meaningful fraction of our bets not to land. This team is intentionally scrappy and ambitious. We're intentionally iterating fast on high-risk research bets and we expect a meaningful fraction not to land. If a 30% project success rate sounds uncomfortable, or uncharted and chaotic territory isn’t both frightening and exciting, this probably isn't the right fit. There are other places in Anthropic Security doing important work with more structure, less risk, and more certain paths to positive outcomes. The questions we're trying to answer include: Can our core research workflows survive extreme isolation? Can we replace trust with cryptographic guarantees? Can the models themselves become our most effective security control? What would it actually take to defend against a tier-1 state adversary, and how much of that can we build now? Who we're looking for. We're hiring generalists with rare depth. You're a strong software engineer as a baseline, and on top of that you've gone deep in at least one area most engineers don't get near: firmware or hardware security, applied cryptography, OS / kernel / hypervisor internals, formal methods, reverse engineering, or high-assurance and cross-domain systems. You've built things under your own direction, you're comfortable jumping layers when the problem demands it, and you'd rather take a swing at something that might not work than ship the safe incremental thing. You think the trajectory of AI matters a great deal, you're not comfortable with how the security side of it is going by default, and you'd rather be on the inside building the answer than watching from outside. Current Project Areas The portfolio changes as we learn. The kinds of bets currently in flight or queued: Standing up a prototype high-assurance research cluster: running real Anthropic training and research workloads under extreme isolation and physical security controls, and finding out exactly where productivity breaks and what we'd need to invent to get it back Provable inference: cryptographic verification (zero-knowledge proofs, attestation chains) that a given output came from a specific model running specific code, replacing "trust us" with math Build hypervisor-isolated microVM workload isolation across the fleet Compiling an ML kernel through a formally verified pipeline where every lowering step carries a machine-checked proof of equivalence, making compilation-layer sabotage mathematically detectable Regenerating clusters: automation that spins up a purpose-built cell, runs a workload, and tears the whole thing down on a TTL measured in hours, so attacker persistence has an expiry date Using Claude itself to drive security work end to end: threat modeling new compute platforms, rewriting critical services to zero external dependencies, running the test equipment that validates what hardware datasheets claim Part of your job is deciding what comes next. We hire people we trust to pick good bets, and project selection is owned by the engineers doing the work. Key responsibilities Own Security Labs projects end to end. You'll scope the bet, build the prototype, run it against real workloads, and bring it to either a hand-off or a documented exit Stand up novel security infrastructure fast (isolated clusters, attestation chains, hypervisor and runtime work, verification tooling) optimizing for what we learn rather than for permanence Find the receiving team early, bring them along while you build, and hand them something they actually want to own Work embedded with research and infrastructure teams (Pretraining, RL, Inference, Compute) to test whether their workflows survive what you're proposing, and document precisely where they don't Turn experimental results into short writeups that shape Anthropic's long-term security architecture, and into costed contingency plans we could execute on short notice Help pick the next round of bets and influence the industry to get better along the way Minimum qualifications Genuinely care about where AI is heading and want to work on the security problems that determine whether it goes well. This is the most important thing on this list Have real depth in at least one area most software engineers don't touch (e.g. firmware or hardware security, applied cryptography, OS / kernel / hypervisor internals, formal methods and verification, reverse engineering and exploit development, or high-assurance / cross-domain systems) Have built and shipped things under your own direction. Maybe you founded a company or research group, maintained an open-source project other people depend on, or shipped research that changed how people in your field work. We weight this far more than where you've worked or for how long Have a track record of choosing the problem yourself and seeing it through, rather than only executing a plan someone else handed you Are comfortable jumping between domains and layers of the stack when the problem calls for it, and have actually done so Have run prototypes or experiments where the goal was answering a hard question rather than shipping a permanent system, including ones that didn't pan out Write clearly enough to turn weeks of work into a couple of pages someone can act on Change your mind when the evidence says to, and are fine being the least-expert person in a room full of specialists Care about defense. Plenty of folks here come from offense and that background is valuable, but what you actually want to spend your time on now is making systems hold up Are a strong programmer (Python plus at least one of Rust, Go, or C/C++) and can stand up real infrastructure without that being the interesting part of your week Preferred qualifications Experience inside airgapped or high-side environments (classified networks, cross-domain solutions, ICS/SCADA, financial trading infrastructure) and the operational realities of working in them A background in offensive security, red teaming, or vulnerability research, with calibrated intuitions for which threats actually matter Familiarity with ML infrastructure (training pipelines, distributed schedulers, inference serving, accelerator hardware) sufficient for grounded conversations with researchers about what their workloads actually need A history of working in environments built around rapid iteration rather than rigid change control: startups, applied research groups, independent consulting, small security shops 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: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Secure Frameworks is the team in Anthropic's Security Engineering org that builds shared security libraries and frameworks the rest of the company builds on. We collaborate closely with teams and leaders across Anthropic to own critical security foundations, including workload identity and authorization, cryptographic frameworks, and the centralized access proxy that  secures traffic to internal applications. Our mission is to make the secure thing easy and the easy thing secure by helping Anthropic engineers get secure behaviour by default and preventing entire classes of vulnerabilities through careful design. We own what we ship, help customers adopt better security practices and at times we work embedded directly in research, infrastructure or product teams. About the role You will design, build and run security foundations used across Anthropic's fleet, from threat model through production, on-call and adoption. Much of the work is greenfield: our infrastructure is growing quickly and the timelines are compressed, so you will help define the architecture rather than inherit it. Depending on your strengths you will focus on one or two of the areas below and contribute across the rest. Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities Partner with product, research, infrastructure, and other security teams to ensure frameworks integrate smoothly with lower-layer security controls Scope, design and build security services and libraries end-to-end, maintain them in production, and drive through ambiguous technical problems with minimal oversight Build and operate the zero-trust access gateway that fronts Anthropic's internal services Design and roll out authorization frameworks so services enforce least privilege consistently instead of each inventing its own access controls Own cryptographic frameworks and libraries Mentor engineers, contribute to hiring, and grow security engineering culture across Anthropic Minimum qualifications 8+ years of software engineering experience building security-relevant systems in production, including leading complex initiatives independently Strong programming skills in Go, Rust or Python Deep understanding of authentication and authorization systems: OAuth 2.0 / OIDC, JWTs, service-to-service auth, policy-based access control Hands-on experience with PKI, X.509, mTLS and workload identity Working knowledge of applied cryptography: choosing and composing primitives correctly, key management, and the ways libraries fail in practice Experience shipping and operating high-reliability services on Kubernetes across cloud and on-prem environments, including being on call for them A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution across teams A strong sense of developer experience Clear communication across all levels of the organization Passion for AI safety and the role security engineering plays in building trustworthy AI systems Preferred qualifications Built security frameworks or libraries adopted across an engineering organization, and done the work to drive that adoption Built or operated a zero-trust / BeyondCorp-style access gateway or identity-aware proxy Migrated a fleet to mTLS at scale, including certificate issuance and staged enforcement Maintained or contributed to open-source cryptographic libraries Designed authorization systems using policy languages or relationship-based models Familiarity with ML infrastructure (training, inference serving) 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: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United Kingdom Workplace: Remote 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 team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - 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 a Finance Data Scientist to join our central Data team as the first dedicated analytics partner to Finance. You'll turn billing, revenue and forecasting data into audit-ready numbers, and the analysis that shapes pricing and planning decisions as we scale towards IPO. - Own finance-facing analysis: revenue and ARR reconciliation, cohort and retention economics, pricing and packaging experiments. - Partner with Analytics Engineering on the certified finance KPI layer (ARR, billing, revenue), and be the first to catch when a number is quietly wrong. - Build forecasting and scenario models that FP&A uses directly in planning and board reporting. - Translate ambiguous finance questions from FP&A, RevOps and leadership into clear, reusable analysis. REQUIREMENTS Demonstrated experience as a data scientist or analyst embedded with a Finance / FP&A function, ideally at a growth-stage or pre-IPO company. - Strong SQL and Python, with comfort reconciling data across Stripe, Salesforce and a dbt-modelled warehouse. - Finance fluency: ARR, billing, revenue recognition, cohort economics — you can speak FP&A's language. - Rigour around data quality: you reconcile by default and can explain a variance, not just report it. - Strong stakeholder management with Finance leadership, and the ability to push back on ambiguous asks. BONUS - Experience preparing finance data for audit, SOX or IPO readiness. - Experience with pricing / packaging experimentation or revenue forecasting at a subscription or usage-based business. - Experience with dbt or a modern warehouse (BigQuery), partnering directly with analytics engineers. GROWTH POTENTIAL We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Grow into a Lead Finance Data Scientist role as the central Data team scales. - Expand scope into broader strategic finance or RevOps analytics. - Path into a Head of FP&A Analytics or data leadership track. LOCATION This role is remote-first, so it can be executed from anywhere in Europe or the US East Coast, with the ability to operate in CET / ET timezones required. If you prefer, you can work from our offices in London, Warsaw, Dublin or New York. #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.

Location: Berlin Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As a Senior Account Executive at Cohere you will have ownership of the full sales cycle - from identifying leads to closing deals, with Defense, Federal Civilian and Local Government Agencies in Germany. In this role you will be focussed on business development activity across all PUBSEC Government Agencies and Departments in Germany. We’re looking for an approachable and compelling communicator who loves working with public sector customers to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them drive better mission and citizen outcomes. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across Customer Success, Sales Development, Marketing, and Sales Engineering. You’ll be the voice of the field and help our Product and Engineering teams prioritize the Cohere roadmap with customer-centric care. In this highly self-directed role, you will thrive in a quickly evolving environment. As a Senior Account Executive, you will: - Drive net-new customer acquisition through targeted outbound activity, senior leader engagement, and relationship building in Germany. - Develop and execute a sales plan for Germany, prioritizing accounts and opportunities through collaboration with Cohere leadership. - Act as a trusted advisor and thought partner to public sector customers and prospects by understanding their goals and shaping AI solutions that deliver measurable value - Work closely with channel and regional partners, as well as major system integrators to scale outreach, accelerate adoption, and maximize customer success - Leverage senior-level relationships with executives and government decision-makers to drive strategic opportunities and long-term partnerships - Collaborate with Product and Engineering teams on strategic efforts to deliver enterprise and public-sector solutions - Partner with SDRs and Marketing to drive top-of-funnel activity and overall territory growth - Own the full sales cycle; including discovery, technical and business validation, proof-of-concept, procurement, and deal close within a team-selling environment You may be a good fit if you have: - 10+ years of direct public sector sales experience in Germany, with a proven track record of closing $3M+ annual quotas. - Deep knowledge of PUBSEC procurement and budget cycles, decision-making processes, and how to work with regional partners and resellers. - Established network in Germany, including federal agencies, prime contractors, and industry associations. - Experience selling SaaS, AI/ML, or enterprise software solutions to government clients. - High tolerance for ambiguity, you are both a strategist and a hands-on operator capable of building a market from the ground up - Strong organizational skills, with the ability to manage multiple internal and external stakeholders across fast-moving deals - Creativity and strong technical acumen to structure unique, mutually beneficial partnerships - Excellent communication skills, you listen deeply, understand what matters to senior decision-makers, and confidently present to both technical and non-technical audiences. - English and German language proficiency essential. - Must be based in Germany with willingness to travel (25-35%). FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: United Kingdom SingleStore is growing our Sales Development team, and we’re looking for hungry, motivated sales development professionals. The SDR team at SingleStore uses outbound prospecting tactics to generate opportunities for our sales team(s). Business development representatives are assigned to account-based territories for commercial, enterprise, and strategic target accounts. This team is a keen group with high business acumen and a hunter's mentality, comfortable generating their own leads. Role and Responsibilities: Generate a qualified sales pipeline for SingleStore targeted accounts ($100M - 1BN in annual revenue) Actively prospect using phone, email, and social media; 50:50 split between outbound and inbound Partner with up to 4 Account Executives on account plans and prospecting strategies Identify key account stakeholders to generate opportunities for SingleStore Maintain open communication and alignment with Account Executives and management Quickly gain a strong understanding of the SingleStore value proposition and the database industry landscape (prior data experience is a plus) Consistently achieve/exceed the monthly quota of qualified opportunities and meaningful interactions with new prospects Required Skills and Experience: 1+ years of SDR (Inbound), or BDR experience in the software industry preferred Strong business acumen, with the ability to become an expert on database management systems (DBMS) within your first 90 days Proven track record of running high-volume outbound cadences via phone, email, and social media Proven track record of achieving measurable lead and pipeline goals; references preferred Formal sales training is a plus Required to be available Tuesdays and Wednesdays for pipeline generation days with the team and overall training Fluent in French and German What you’ll bring: Comfortable operating in a fast-paced environment An exceptional written and spoken communicator Hungry for a career in sales or other areas of enterprise software Comfortable reaching out cold to executive-level and technical prospects Experience with sales tools like Salesforce, Outreach.io, Zoominfo, and LinkedIn Highly organized & autonomous Entrepreneurial and self-motivated An ability to partner with and support co-workers and customers across time zones SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people. SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling. As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities. This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title. Role and Responsibilities Build and execute a territory strategy for net-new customer acquisition. Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity. Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer. Engage executive, business, technical, security, and procurement stakeholders. Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases. Build and develop champions, multi-thread the buying group, earn executive and economic-buyer access, and maintain stakeholder alignment; own the stakeholder plan, mutual action plan, close plan, value case, stage gates, forecast, and commercial outcome. Lead complex sales cycles through technical validation, security, legal, procurement, negotiation, and close. Partner with Solutions and Forward Deployment Engineers and cross-functional teams to validate technical fit and establish the first production workload. Navigate competitive displacement and maintain disciplined activity management, CRM hygiene, reporting, qualification, forecasting, and opportunity management; showcase clear metrics such as pipeline created, meetings, conversion, quota attainment, and new-logo performance. Be AI fluent: use AI and research tools productively and responsibly while applying judgment, validating outputs, and separating facts from hypotheses. Travel within the assigned territory as required. Required Skills and Experience 5+ years of quota-carrying B2B enterprise software sales experience, ideally selling to large or technically sophisticated organizations; experience in data, cloud, analytics, AI, or adjacent technical domains is a plus. Repeated, quantified quota success with clear ownership of new-logo wins and self-sourced pipeline. Experience closing complex, multi-stakeholder deals involving executives, technical evaluators, security, legal, finance, procurement, and partners. Ability to sell measurable business outcomes and build ROI, TCO, or operational-impact cases. Technical fluency in an adjacent domain such as databases, data infrastructure, analytics, AI/ML, cloud, Kubernetes, developer tools, cybersecurity, observability, or open-source software. Strong qualification, account planning, forecasting, CRM, negotiation, and deal-management skills. Learning velocity and coachability, demonstrated through specific behavior change after feedback; ability to explain technical concepts clearly to technical and executive audiences. Executive presence, customer trust, resilience, intellectual honesty, and excellent communication skills. B.A., B.S. degree or equivalent in a related field. Experience with Fortune 500 or security-sensitive organizations, cloud ecosystems, open-source or consumption-based products, or emerging categories is preferred. To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. SingleStore’s salary range for this role is £60,000 - £90,000 For candidates residing in California, please see our California Recruitment Privacy Notice . For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Within Security GRC, Compliance and Audit Programs (CAP) runs the integrated audit across our frameworks and maintains the Common Control Framework the program hangs off. This role sits in Compliance & Audit Programs and works one regime family, US public sector, from requirements through authorization and ongoing compliance, working alongside the public sector engineering pods rather than downstream of them. About the role You'll help drive the compliance programs that keep Anthropic's US government authorizations current: federal civilian (FedRAMP, including FedRAMP 20x for Claude Enterprise), Department of War (DoD impact levels, CMMC, NIST SP 800-171), and state and local (StateRAMP, TX-RAMP and agency requirements). You'll own the recurring cycles those authorizations run on (continuous monitoring, POA&M, annual assessments, significant changes), help build new authorizations as we add them, and keep every frontier model's authorizations current. You'll turn government requirements into specific, testable requirements that engineering teams build against, review the evidence that comes back, and say so when a launch is not ready for a government boundary. You'll map US government requirements onto our Common Control Framework so the public sector view and the integrated audit view of the same control stay one framework. Building with Claude is a normal part of the job: mapping, evidence collection and reporting, with you deciding where human judgment stays in the loop. This is an individual contributor role, working closely with a peer on US public sector compliance, for someone who works well independently, writes clearly, and gets satisfaction from a government authorization that holds up as the product changes underneath it. Key responsibilities Run the recurring compliance cycles for our US government authorizations (continuous monitoring, POA&M, annual assessments, SSP updates, significant changes and incident notifications), starting with C4G on Palantir FedStart and the NIST SP 800-171 assessment with Schellman Co-own FedRAMP 20x work for Claude Enterprise, and help build new authorizations (first-party FedRAMP High, DoW impact levels, StateRAMP and TX-RAMP) with requirements and evidence work Support model authorizations in GovCloud and Vertex for every model launch, as the GRC member of the Inference and model delivery pod Translate government obligations into partner team requirements, for example vulnerability SLAs in our internal vulnerability reporting platform, and review the evidence Answer public sector customer and deal questions (what a boundary allows, CUI, IRS Publication 1075, CJIS, ITAR), and handle questionnaires and RFIs until they move to Customer Trust Map US government requirements onto the Common Control Framework with the Controls Assurance Lead and keep one source of truth for status Build with Claude: automate mapping, evidence collection and reporting, and verify machine-drafted language before it becomes the record Minimum qualifications Several years in security compliance or IT audit with hands-on US government compliance for a cloud service (FedRAMP, DoD impact levels, CMMC or NIST SP 800-171, or StateRAMP), including the ongoing compliance cycle after authorization Working command of the NIST SP 800-53 Moderate baseline and the mechanics of authorization: boundary definition, control implementation statements, assessment, continuous monitoring, POA&M and significant change Experience writing requirements for engineering teams from a control baseline and reviewing the evidence that came back Working knowledge of how a GovCloud or Vertex style government region differs from commercial, and what changes when a model, feature or region is added to an authorized boundary Enough technical fluency to read a runbook, configuration or pipeline definition and judge whether it enforces the written control Clear writing, because implementation statements and status reports are what assessors, engineers and leadership work from Ability to get partner teams to prioritize and close compliance work without authority over them Preferred qualifications Have taken a service through FedRAMP High or DoD IL4 or IL5, or supported a service on classified networks Have worked on a FedRAMP 20x pilot or built machine-readable evidence or reporting for an assessor Have applied LLMs to compliance work such as control mapping, evidence testing or continuous evidence collection Hold or are eligible for a US security clearance Experience with state and local requirements such as StateRAMP, TX-RAMP, IRS Publication 1075 or CJIS You don't need to Have done everything on this list or worked every regime. The scarce combination is running a government authorization on its recurring cycle plus the judgment to tell whether a control actually works Write production code. The bar is fluency sufficient to read, query and challenge Hold every certification. CISSP, CISA, CGRC or similar are welcome and not required Have prior AI industry experience Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Responsibilities: Serve as the security policy partner for AI agent governance, authoring the policies and standards for how agents are built, deployed, operated Define review and approval criteria when an agent may interact with sensitive or regulated data, and which actions require human approval as it relates to compliance frameworks Serve as the GRC reviewer within existing engineering approval workflows Define data governance requirements for agents, including least-privilege access, access reviews, and handling of regulated and sensitive data Monitor agent behavior over time and adapt governance requirements in partnership with cross-functional security, research and engineering teams Map agent security and data controls to AI governance frameworks (e.g., ISO 27001, ISO 42001, EU AI Act), strengthening Anthropic's certification efforts ensuring agent security is auditable Assess and document agent-related security and compliance risks, driving them to resolution with engineering owners Own the policy for agent-related risk acceptances and exceptions, including approval authority, duration and re-review You may be a good fit if you: Have 8+ years in security governance, risk, and compliance, including ownership of security policies and control standards at a technology company Have owned or meaningfully supported efforts to compartmentalize sensitive data, PII, or intellectual property, and understand how identity and access mechanisms implement or undermine protection boundaries Think about non-human identities as a distinct risk and control category, and can design least-privilege access and accountability controls for systems acting on a person's behalf Can reason from a threat model to a control and explain the tradeoff to both an engineer and an auditor Have defined risk-based review or approval criteria within engineering workflows and kept them effective under high change velocity Deliver clear, precise written work for both technical and non-technical audiences Thrive in ambiguous environments with no settled industry playbook, where you're expected to propose the standard rather than wait for one Are energized by being the security and risk authority who educates and influences outcomes rather than only advises Strong candidates may also: Understand the security properties of LLM agents, whether from an AI, developer-platform, or agent-tooling company, or through comparable experience Bring familiarity with AI governance frameworks alongside traditional security frameworks Have adapted controls from regulated or highly sensitive environments to an open, high-trust engineering culture Possess relevant certifications (CISSP, CISM, CRISC, CISA, CCSP, ISO 27001 or ISO 42001 Lead Implementer/Auditor) Candidates need not have: Done everything on this list before. Very few people have governed AI agents at scale — we care more about how you reason about access, accountability, and blast radius than about a prior title. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE We're looking for a Security Engineer with deep incident response experience to help defend Replit, a fast-moving, cloud-native AI vibe-coding platform. You'll be the person who takes charge when something goes wrong. You'll lead investigations from first signal to root cause, coordinate containment across Security, SRE, and Engineering, and keep stakeholders informed while the incident is moving fast. This isn't a pure responder role. We want a well-rounded security engineer who has run real incidents and wants to make the next one faster. You'll write the scripts, automations, and tooling that take manual work out of triage, evidence collection, and containment. You'll also turn lessons from each incident into better detections, playbooks, and platform hardening.   RESPONSIBILITIES Incident Response - Serve as incident commander or technical lead for security incidents, from detection and triage through containment, eradication, recovery, and post-incident review. - Coordinate response across Security, SRE, Engineering, Legal, and leadership. Drive decisions under pressure and keep a clear record of actions taken. - Communicate incident status, impact, and risk clearly to technical and executive audiences. - Participate in and help shape the security on-call rotation. Investigation & Forensics - Investigate suspicious activity across cloud infrastructure, containers, identity systems, and application layers using SIEM, Cloud Logging, telemetry, and host and container artifacts. - Determine scope, root cause, attacker behavior, and blast radius for confirmed incidents. - Quickly assess whether emerging threats (0-days, active exploitation campaigns, bug bounty findings, customer reports) apply to Replit, and whether we're already affected. IR Automation & Tooling - Build scripts, automations, and tools (Python, Go, Bash, or directly on Replit) that speed up response, such as automated enrichment, evidence collection, credential and session revocation, workload isolation, and alert triage. - Develop and maintain response playbooks and runbooks, and automate them where possible. - Integrate response workflows with SIEM, SOAR, ticketing, and chat tooling to cut time-to-contain. Detection & Continuous Improvement - Turn incident findings into new or improved detections, logging coverage, and visibility. - Lead blameless post-incident reviews and drive remediation items to completion. - Run tabletop exercises and simulations to test readiness and find gaps.   REQUIRED SKILLS & EXPERIENCE - Proven experience leading or serving as technical lead on security incidents in a cloud or SaaS environment. - Strong hands-on investigation skills with SIEM, cloud audit logs, and log-based analysis. Comfortable working through large datasets under time pressure. - Proficiency writing production-quality scripts or tools in Python, Go, or Bash for investigation and automation. - Solid knowledge of cloud architecture and security, especially Google Cloud Platform (IAM, audit logging, GKE, networking). - Working knowledge of Kubernetes and containers, including how to investigate and contain compromised workloads. - Understanding of identity systems, SaaS architectures, and common cloud attack paths (credential theft, privilege escalation, supply chain, token abuse). - Familiarity with software engineering fundamentals, CI/CD pipelines, and package ecosystems, so you can work effectively with Engineering on code-level fixes. - Understanding of IR frameworks and lifecycle (for example NIST 800-61), plus the vulnerability lifecycle and exploitability analysis.   PREFERRED QUALIFICATIONS - Experience building or operating SOAR or other response automation platforms. - Digital forensics experience with cloud, Linux hosts, or containers. - Experience with threat intelligence, threat hunting, or security research. - Experience with bug bounty programs or coordinated vulnerability disclosure. - Familiarity with detection-as-code practices and writing detection rules. - Experience in fast-paced, cloud-native, or AI/ML-driven environments. - Relevant certifications (such as GCIH, GCFA, GCFR), or equivalent hands-on experience. WHAT WE VALUE - Curiosity & initiative: Strong desire to understand attacker behaviors, emerging threats, and how they apply to real-world systems. - Speed & analytical rigor: Ability to quickly assess high-risk vulnerabilities with clear, evidence-based reasoning. - Collaboration: Comfort working across cross-functional teams spanning Security, SRE, Engineering, and Infrastructure. - Clear communication: Ability to explain findings, risks, and mitigation strategies to stakeholders at all levels. - Ownership mindset: Takes initiative to drive investigations, improvements, and remediations to completion. - Continuous learning: Passion for staying up to date on new vulnerabilities, exploit trends, and cloud-native security best practices. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an AV Engineer focused on Platform & Automation, you'll build and own the software layer of Anthropic's collaboration systems — the tools, integrations, and engineering practices that let a small AV team support a fast-growing global office portfolio. Our rooms, event spaces, and broadcast systems are increasingly managed through APIs and code: device management platforms, DSP and control systems, conferencing administration, ticketing, and paging. Your job is to turn that surface into reliable, team-owned tooling, and to bring software engineering discipline to how we build and maintain it. You can expect a lot of your time writing, shipping, and operating code — fleet health monitoring, automated room testing and ticketing, integrations between our AV platforms and IT systems, and the internal tools that AV Engineering, AV Operations, and Events rely on every day. You'll also help own the administration of the software platforms we already run, and set the standards for how the team version-controls, reviews, tests, releases, and maintains everything from DSP designs to firmware to internal services. Responsibilities Design, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office Develop fleet health monitoring and automated room testing that catch failures before users report them and open actionable tickets automatically Build integrations across device and platform APIs — Q-SYS (including plugins and Lua control scripts), Logitech Sync, Google Meet hardware, digital signage; and IT systems such as Jira, Slack, PagerDuty, and Google Workspace Automate repetitive operational work: provisioning, configuration baselines, drift detection, certificate renewal, and asset data — with code others can read, test, and maintain Own administration and lifecycle of the software platforms behind the AV estate, including firmware and software release management with staged rollouts and rollback plans Operate internal tools as production services, with monitoring, alerting, service metrics, and runbooks, on team-owned repositories and service identities so nothing depends on one person Establish the team's engineering practices: source control, code review, testing, CI/CD, and release — and bring AV configuration under version control, with standards set for integrator deliverables and acceptance verified before changes land Enable AV Engineers, Operations Specialists, and Production staff to contribute safely through templates, guardrails, and review paths built for non-developers Partner with Security, IT Engineering, and Network on least-privilege API access, secrets management, and integration with enterprise standards Gather requirements from AV Operations, Events, and AV Engineering, prioritize the tooling roadmap by operational impact, and decide where to build, buy, or push a vendor to close a gap You May Be a Good Fit If You: Have 10+ years of experience across AV, collaboration, or IT systems engineering, including 4+ years writing, shipping, and maintaining production code that other people depend on Are fluent in at least one general-purpose language: Python, Lua, Go, TypeScript, or similar — and comfortable with shell scripting Practice engineering fundamentals by default: Git-based workflows, code review, automated testing, CI/CD, logging, and observability Understand how AV and collaboration systems work: DSP and control, conferencing platforms, room devices, signal flow, AV-over-IP — well enough to build reliable tools on top of them Have built integrations against REST APIs, webhooks, and vendor SDKs, and know how to handle auth, rate limits, pagination, retries, and partial failure Have owned a tool or service in production over time, not just written it, including fixing it when it broke and handing it off cleanly Have defined engineering practices for a team, especially one where most contributors aren't developers Turn operational pain into well-scoped tooling, and can say no to work that shouldn't be built Thrive in a fast-moving environment where standards are being written rather than inherited Strong Candidates May Also Have Experience With: Q-SYS Lua scripting and plugin development Logitech Sync and CollabOS, and Google Meet hardware administration through the Google Admin console and Admin SDK Google Workspace APIs, GCP (Cloud Run, Cloud Scheduler, Pub/Sub, Secret Manager), and Terraform or other infrastructure-as-code Jira, Slack, and PagerDuty APIs and automation Crestron, Extron, or other control system programming Dante, AES67, NDI, and network fundamentals for AV-over-IP, including multicast, VLANs, and QoS Building with LLMs — agentic automation, LLM-assisted internal tools, or MCP integrations Monitoring and alerting stacks such as Prometheus and Grafana, and containerized deployment Q-SYS Level 2, CTS, or equivalent demonstrated capability Role Specific Location Policy: This role will be based in our San Francisco or New York City office This role is expected to be in office 50% of the time Up to 4 weeks of domestic and international travel annually for platform rollouts, new-office readiness, and on-site testing Business-hours escalation coverage for the tools and platforms this role owns Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dublin, Ireland About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Quantitative Analyst: As a Quantitative Analyst, you’ll operate at the intersection of sports trading, mathematics, and data science. Your primary focus will be on analyzing sport & betting data, developing predictive models, and assisting with trading decisions. You’ll collaborate with senior quants, traders, engineers and product managers to continuously improve pricing efficiency and expand the range of betting odds generated by our proprietary trading platform and continuously improve our risk models & management strategy. You will apply mathematical and statistical techniques to solve complex problems. It is an exciting opportunity for professional development in a dynamic and fast-paced environment. This is a hybrid role, requiring 2-5 days per week in our Dublin, Ireland office. No Visa sponsorship available. Experience While junior roles often don’t require extensive experience, any exposure to financial markets, data analysis, or quantitative research is beneficial. Internships or coursework related to quantitative finance or numerical modeling are a plus. Responsibilities As a Quantitative Analyst, your responsibilities will include Model Development Assist in the development, implementation, training and testing of mathematical models for pricing & managing the risk of sport betting events. Data Sourcing & Analysis Collect and clean sports-related data, Analyze large datasets of play by play (simulated or historical) and betting data to identify patterns, trends, and correlations that can inform trading strategies. Programming Use programming languages such as C# or Python to develop quantitative models, code and automate analytical processes, and perform data analysis tasks. Collaboration Collaborate with senior quantitative analysts, traders & product managers to understand business requirements, implement solutions, and communicate findings effectively Document and maintain clear and concise documentation of quantitative models, methodologies and analysis procedures for internal reference Continuous Learning Stay abreast of developments in quantitative analysis & betting markets, and related fields through self-study & training Qualifications Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Finance, Economics, or a related quantitative field. Outstanding mathematical, statistical and analytical skills. Excellent work ethic and good team skills Detail-oriented mindset with a commitment to producing high-quality work and adhering to best practices in quantitative analysis and research. Strong understanding of more advanced machine learning techniques is a plus Proficiency in at least one programming languages such as Python, C#, R, or C++ is a plus Salary range is listed in USD; ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. *Salary Range: (EURO) 44,000 - 52,000 (Salary range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual Offer is confirmed). In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range €44.000 — €52.000 EUR By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal’s Inference Runtime team owns the container runtime stack used to run inference and training workloads across our fleet. We work at the boundary of Linux, containers, filesystems, storage, GPU drivers, and distributed systems. Our goal is to make demanding ML workloads start quickly, run efficiently, and remain securely isolated, whether they use a single GPU, hundreds of gigabytes of memory, or multiple GPUs connected with RDMA. We’re looking for a systems engineer who enjoys working deep in the stack. You’ll build production runtime infrastructure in Rust and Go, diagnose difficult Linux and performance problems, and help determine the architecture of Modal’s container platform. You’ll also work closely with maintainers of gVisor and contribute to the runtime itself when the right fix belongs upstream. WHAT YOU'LL WORK ON: - Make container startup, checkpoint, and restore dramatically faster for large inference and training workloads - Build multi-GPU and accelerator-aware snapshotting, including efficient handling of GPU memory and RDMA-enabled workloads - Design zero-copy and low-copy data paths between container memory, filesystems, storage, and Modal’s runtime - Optimize large snapshot pipelines using techniques such as parallel uploads, direct I/O, incremental snapshots, and more efficient memory handling - Improve container image and filesystem performance across EROFS, FUSE, page caches, overlay filesystems, and remote storage - Extend our sandboxed runtime to support new GPUs, drivers, profiling tools, and device capabilities across NVIDIA and AMD hardware - Debug complex failures involving system calls, virtual memory, process lifecycle, kernel behavior, GPU drivers, and container isolation - Safely roll out runtime and kernel changes across a heterogeneous fleet using compatibility controls, scheduling constraints, feature flags, and observability - Work across the runtime, scheduler, storage, and GPU infrastructure, and take ambiguous production problems from investigation through deployment YOU MAY BE A FIT IF: - You have strong Linux systems knowledge, particularly processes, virtual memory, filesystems, system calls, scheduling, namespaces, cgroups, and signals - You’ve built or debugged container runtimes, sandboxes, the Linux kernel, or similarly low-level infrastructure - You have strong programming ability in Rust, Go, or another systems language, and an interest in becoming productive in both Rust and Go - You’ve profiled and improved systems where memory movement, I/O, synchronization, or kernel interactions dominate performance - You’re comfortable debugging across abstraction boundaries, from application behavior down through runtimes, drivers, and the kernel - You can turn loosely defined production problems into well-designed, reliable systems - You want to own important infrastructure and work closely with both internal teams and customers NICE-TO-HAVE: Any of the following would be helpful, but none is required: - gVisor, runsc, runc, OCI runtimes, seccomp, or checkpoint/restore systems - Linux kernel development, virtualization, sandboxing, kernel modules, or device proxying - CUDA, ROCm, GPU drivers, accelerator virtualization, or GPU profiling - RDMA and high-performance networking - FUSE, EROFS, direct I/O, mmap, page-cache behavior, or storage engines - Large-memory or multi-GPU inference and training systems - Contributions to open-source systems software Prior gVisor or machine-learning experience is not required. We care more about strong systems fundamentals, curiosity, and the ability to learn unfamiliar parts of the stack. WHY THIS ROLE: The container runtime is directly on the critical path for inference performance. Improvements here can substantially reduce cold starts, increase token throughput, unlock new accelerator types, and make previously impractical workloads possible. This is an opportunity to work on unusually deep systems problems with immediate production impact. You’ll have room to shape the architecture, contribute to open-source runtime technology, and take ownership of foundational infrastructure used by every inference and training workload on Modal.

Location: New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for a Legal Operations Lead to join us as the first dedicated legal operations hire at Modal. You’ll own the systems, records, and workflows that let a small legal team keep pace with a high-growth tech company, and you’ll have an opportunity to build most of them from scratch. This is a great fit for a highly organized, systems-oriented operator who thrives in a fast-paced environment and wants to build operational foundations, not just maintain them. You’ll report to our General Counsel and collaborate closely with the Finance, BizOps, GTM, and People teams. WHAT YOU’LL WORK ON: - Build and maintain contract operations, including designing the contract lifecycle management workflows and approval logic, and continuing to iterate and improve those processes - Design a legal intake process to support and route legal requests from internal stakeholders - Make the legal function faster with AI, and build and configure tooling to make us more efficient - Manage corporate administration and record-keeping, including Board and stockholder matters, signature coordination, and building a knowledge management system and database - Be the point person for corporate compliance, including entity management, foreign and domestic qualifications and filings, and coordination with registered agents - Support stock administration and cap table hygiene - Manage outside counsel and legal spend YOU MAY BE A FIT IF: - You have 5+ years in legal operations, contract operations, or a corporate paralegal role, preferably at a high-growth technology company - You’ve built and documented processes from the ground up, not just executed existing ones - You have experience configuring workflows and templates within Ironclad or a similar CLM - You have experience with AI tools and good instincts about where they help and where they quietly introduce risk - You have sound judgment about what to handle and what to escalate NICE-TO-HAVE: - Exposure to corporate and equity administration - Familiarity with Carta or a similar equity administration platform

Location: New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for a Senior Commercial Counsel to join us as the first commercial lawyer at Modal. This is a high-impact role for someone who wants to draft and negotiate a wide variety of commercial agreements and build the templates, playbooks, and positions that guide our operations. You’ll report to our General Counsel and collaborate closely with the Sales, BizOps, Finance, and Engineering teams and help build the foundation for a small but growing legal team. WHAT YOU’LL WORK ON: - Own customer contracting, including MSAs, service orders, NDAs, DPAs, and BAAs, negotiating directly with customers and partnering with the Sales team throughout the full deal cycle - Lead vendor-side contracting, including capex procurement, SaaS tools, and consulting arrangements, among others - Build and maintain contract repositories, template libraries, and contract playbooks - Partner with Legal Operations on our CLM, including approval workflows and escalation logic - Review and revise operational policies (terms of service, privacy policy, acceptable use, and website terms) and customer-facing marketing materials YOU MAY BE A FIT IF: - You have approximately 5-10 years of combined law firm and in-house experience negotiating commercial technology agreements, with meaningful time supporting an enterprise sales motion - You have a JD and active bar membership in good standing in New York or California - You’re deeply familiar with SaaS contracting - You’ve worked extensively within Ironclad or a similar CLM - You can build templates and playbooks from scratch - You have working knowledge of privacy and regulatory data protection frameworks, such as GDPR and HIPAA - You have sound commercial judgment and know how to balance risk with the business needs of a high-growth tech company NICE-TO-HAVE: - Experience with infrastructure, compute, or datacenter supply agreements