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Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards organization builds the policies, evaluations, and enforcement systems that keep our models from contributing to catastrophic harm. We are hiring a manager to lead the research engineering team responsible for biological safety: the evaluations, datasets, and classifiers that govern how our models handle biological knowledge. You will lead a team of research scientists and engineers who design and run capability evaluations against frontier models, curate training data for our safety classifiers, train and iterate on those classifiers alongside our ML engineers, and measure how they hold up against adversarial pressure in production traffic. You will set the technical direction for that work, decide where the team invests, and own the results. This is a hands-on management role. Most of your time goes to growing and directing the team, but you will keep enough technical depth to review an eval design, interrogate a classifier's failure modes, and represent the work credibly to Research, Product, and Policy partners. The core tension your team owns is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and your team is the one measuring it. Key responsibilities Manage, coach, and grow a team of research scientists and engineers working on biological safety evaluations and classifiers, including hiring, onboarding, performance, and career development Set the technical direction and roadmap for the biological safety research agenda, and make the calls about what the team builds, what it deprioritizes, and when a safeguard is ready to ship Own the quality of capability evaluations that assess what new models can do in the biological domain, and turn results into deployment recommendations that leadership can act on Guide the development of training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk Oversee the training and iteration of safety classifiers alongside ML engineers, optimizing jointly for adversarial robustness and low false-positive rates Ensure the team invests in the tooling and pipelines that make evaluation and classifier development fast and repeatable Establish how the team measures classifier and eval performance against production traffic, identifies gaps, and prioritizes improvements Direct red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve Partner with Research, Product, Policy, and government affairs colleagues to embed biological safety throughout the model development lifecycle, and serve as an escalation point for biological content Represent the team's work in external communications including model cards, blog posts, and policy documents Track developments in biology, machine learning, and biosecurity for their potential to create new risks or enable new mitigations Minimum qualifications Experience managing a technical team, including hiring, coaching, and performance management A record of setting technical direction for a team and making prioritization calls under uncertainty Proficiency in Python, with a background in scientific programming and data analysis A solid grasp of ML fundamentals, sufficient to critically review evaluation design and classifier development Knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results Clear analytical and writing skills, and the ability to explain technical concepts to non-technical stakeholders Familiarity with dual-use research concerns and biosecurity frameworks, such as select agent regulations, the Biological Weapons Convention, or Australia Group guidelines Comfort with ambiguity and with shifting priorities as AI capabilities change Motivation to prevent misuse without obstructing the beneficial work that makes up the vast majority of this field Preferred qualifications 3+ years of people management experience, ideally leading research scientists, research engineers, or ML engineers Experience building a team or function from a small headcount, including defining scope, hiring the first few people, and establishing how the team works At least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology Experience working with large language models, including prompting, fine-tuning, or evaluation Experience training or deploying classifiers or other ML systems in production, and comfort reasoning about precision and recall for rare, high-consequence categories where the base rate is very low Experience developing ML methods for biological systems or biological data Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems Experience leading complex technical projects across multiple stakeholder groups 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: $405,000 — $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. 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 | Washington, DC 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 a Safeguards Enforcement Analyst focused on Conventional Weapons, your work spans detecting and mitigating attempts to misuse Anthropic's AI systems to facilitate real-world harm, specifically utilizing conventional weapons and dangerous technology. You will be responsible for building and executing operational workflows to assess model behavior, drive enforcement decisions, and develop evals across a technically demanding range of policy areas. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, graphic, hateful, or psychologically disturbing nature. Key responsibilities Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy Develop and maintain evals that measure model performance on these policy areas, surface regressions, and inform policy and model improvements Partner with Engineering and Data Science to optimize detection and automated enforcement systems for potential policy violations Review flagged content to drive enforcement decisions and surface policy gaps, with particular attention to novel or technically sophisticated misuse attempts + emerging tactics Support the Safeguards policy design team by providing structured feedback on policy gaps and enforcement ambiguities based on real enforcement scenarios Develop and maintain enforcement guidelines and reviewer documentation that enable accurate, consistent enforcement across a wide range of content Keep up to date with emerging weapons trends and applications, regulatory changes, and AI policy enforcement best practices, and apply these to inform our workflows and evals Identify and escalate emerging misuse patterns, novel attack vectors, and signs of coordinated violent activity Minimum qualifications Have deep, applied expertise in weapons systems and can translate complex technical evidence to make enforcement decisions Experience in policy enforcement, threat intelligence, counterterrorism, government, or a closely related field, with direct exposure to harmful content, dangerous technology, or physical harm facilitation Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams Experience working with generative AI products, including writing effective prompts for content review and enforcement Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications Subject matter expertise in conventional weapons and dangerous technology, autonomous systems, or critical infrastructure protection Familiarity with relevant legal and regulatory frameworks governing dangerous technology, conventional weapons, and critical infrastructure Experience developing evals or red-teaming AI systems, particularly for harmful content or policy enforcement use cases Experience with threat actor profiling and threat intelligence frameworks (e.g., MITRE ATT&CK) Experience tracking threat actors, extremist networks, or misuse patterns across surface, deep, and dark web environments Experience with large language models and an understanding of how AI technology could provide meaningful uplift toward serious harm Proficiency in Python for data analysis and workflow automation Background in law enforcement, national security, defense, counterterrorism, or a relevant regulatory environment Experience assessing the technical plausibility and real-world harm potential of content, including the ability to distinguish between general educational content and genuine operational uplift, and between protected speech and genuine incitement/mobilization Familiarity with cross-platform threat analysis and OSINT techniques 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: $245,000 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco 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 Baseten is building the infrastructure layer for AI — and we're now building the team that will scale how we take it to market. This is a foundational hire on our GTM Strategy & Revenue Operations team, sitting at the intersection of strategic planning and field execution.   You'll work directly with the CRO, Head of Revenue Operations and partner closely with Finance, field leadership, and our Central Ops team. On any given week, you might be refining our pipeline generation model, building a territory coverage analysis, designing a new GTM motion, or partnering with a regional leader to understand what's driving a trend in their pipeline. This role requires someone who can think rigorously, build things from scratch, and operate with speed and judgment in an environment where the playbook is still being written.   This is a rare opportunity to be an early GTM strategy and operations hire at one of the fastest-growing companies in AI infrastructure — and to help define how we scale.   WHAT YOU'LL DO GTM Planning, Target Setting & Market Intelligence - Contribute to the annual and quarterly GTM planning process in partnership with Finance, including headcount modeling, ramp assumptions, and revenue target-setting - Build and maintain coverage models aligned to 2-year growth projections, incorporating territory design, account segmentation, and capacity planning - Support quota framework development, helping translate top-down targets into field-level plans that are credible and motivating - Develop and maintain Baseten's segmentation logic: how we carve the market by industry, company profile, consumption potential, and AI maturity - Contribute a point of view on competitive dynamics, regional expansion priorities, and whitespace opportunities - Partner with Central Ops on ICP and TAM database strategy to ensure segmentation is grounded in clean, enriched data - Translate data into a clear business narrative for leadership and the field; democratize insights so the revenue org can self-serve Pipeline Generation & Forecast - Contribute to the design of the pipeline generation model: coverage ratios, qualified pipeline definitions, and input assumptions - Support the PG cadence: track actuals vs. model, surface gaps early, and partner with field leadership to course-correct - Play an active role in the weekly forecast process, helping build the business narrative that connects leading indicators to revenue outcomes - Build and maintain the analytics layer that powers GTM decision-making, from pipeline dashboards to cohort analyses to efficiency metrics Field Execution & Plan Refinement - Partner with the field to identify gaps in the business and develop structured plans to address them, supporting real-time actions as well as insights to guide QBRs, pipeline reviews, etc. - Analyze regional pipeline health, win/loss trends, and rep productivity to proactively surface insights that feed back into refining the GTM plan - Contribute to execution optimization projects: improving the sales process, post-sale journey, and conversion at key funnel stages - Close the loop between what's happening in the field and what needs to change in the plan New Motions & Experimentation - Support the design and execution of structured experiments to test new GTM approaches: new segments, new channels, new acquisition or expansion motions - Help build the measurement framework to evaluate what's working and create a clear path to scaling what wins - Partner with RevOps and Central Ops to operationalize successful experiments into repeatable playbooks   REQUIREMENTS Experience - 3-5 years in GTM strategy, revenue operations, sales strategy, or a related function, ideally at a high-growth B2B SaaS or infrastructure company - Experience with consumption-based or usage-based business models strongly preferred; you understand the difference between ARR and revenue, and how to think about drawdown, expansion, and net retention - Exposure to a company scaling through a Series B-D inflection point a plus; you have a sense of what good looks like and what breaks as you grow - Background in consulting and/or banking / finance a plus Skills - Exceptional analytical chops: you can build a coverage model, a cohort analysis, and a leadership-ready forecast narrative, and you know which one the moment calls for - Strong business judgment: you don't just surface data, you tell people what it means and what to do about it - Structured thinker and clear communicator: you can take a complex GTM problem, break it down, and present a crisp recommendation to a senior audience - Hands-on builder: comfortable working in AI coding tools, spreadsheets, BI tools, SQL, and CRM systems; you don't wait for someone else to pull the data - Collaborative operating style: you work across functions (Finance, field leadership, Central Ops, Enablement) and know how to get things done without formal authority - AI Fluency: you actively use AI tools to drive your own productivity, in how you analyze data, structure problems, draft communications, and accelerate your work Mindset - Comfortable with ambiguity; you can define the problem before solving it - Bias toward action — you'd rather ship something good and iterate than wait for perfect - Curious about the AI infrastructure market; you want to understand what we sell, who buys it, and why   WHY BASETEN - Be a foundational member of the GTM team at one of the most important companies in the AI infrastructure space - Work on problems that are genuinely hard and genuinely new — consumption-based GTM at AI scale doesn't have an existing playbook - High ownership, high visibility, direct access to leadership - Competitive compensation, equity, and benefits 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: Houston, United States We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we’ve been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life cycle – offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline, subsea, process, and valves – all designed to help you optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies, making us a leading and trusted partner every step of the way. The Role We are looking for an experienced Hydraulic Technician to join our team, responsible for the fabrication, installation, testing and maintenance of stainless steel hydraulic and instrumentation tubing systems. The role requires hands-on experience with 316 stainless steel tubing from 1/4" through 2" OD , including the coning and threading of medium-pressure (MP) and high-pressure (HP) tubing. Key Responsibilities • Install, bend, route and secure stainless steel hydraulic and instrumentation tubing from 1/4" through 2" OD. • Measure, cut, deburr, clean and fabricate tubing assemblies using manual and hydraulic tube-bending equipment. • Cone and thread MP and HP stainless steel tubing using approved tooling and procedures. • Install compression fittings, MP/HP connections, valves, manifolds, clamps, supports and other hydraulic components. • Read and interpret hydraulic schematics, P&IDs, isometric and fabrication drawings. • Perform pressure testing, flushing and leak testing of hydraulic systems. • Troubleshoot and repair hydraulic tubing, fittings, valves and associated components. • Ensure correct tube routing, bend radii, fitting alignment, cleanliness and installation standards. • Complete relevant inspection, testing and work documentation. • Maintain high standards of safety and quality at all times and travel to customer, onshore and offshore locations as required. Essential • High school diploma, GED or equivalent. • Minimum 3 years' experience in hydraulic tubing installation or a similar industrial environment. • Demonstrable experience installing 316 stainless steel tubing from 1/4" through 2" OD . • Hands-on experience coning and threading medium- and high-pressure stainless steel tubing . • Knowledge of MP/HP tubing systems, pressure-rated fittings and hydraulic systems. • Experience with compression fitting systems such as Parker A-LOK, Swagelok, Hy-Lok, Autoclave Engineers, HIP or equivalent. • Ability to read hydraulic schematics, P&IDs and engineering drawings. • Strong mechanical, troubleshooting and problem-solving skills. • Valid driver's licence and willingness to travel as required. Desirable Experience within oil & gas, petrochemical, pipeline, offshore or industrial environments would be advantageous, along with experience in hydraulic flushing, hydrostatic testing, hydraulic control panels, manifolds and power units. Diversity & Inclusion EnerMech is dedicated to fostering a diverse and inclusive organization. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities.

Location: Hyderabad, India Location: India (100% Remote / Flexible) Contract Type: Full-Time / Enterprise Project Engagement About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a high-caliber Forward Deployment Engineer (FDE) to sit at the intersection of enterprise AI platforms and executive Finance business functions for our Fortune 100 enterprise client. This role bridges advanced AI platform engineering with direct business impact—translating ambiguous financial challenges into working AI applications, deploying them into regulated client environments, and iterating in tight loops to drive measurable ROI. Rather than building static models or waiting for formal spec sheets, you will operate as a product-minded technical lead. You will prototype user-facing tools in days, deploy agentic and RAG workflows on top of enterprise data stacks (Databricks Genie), and ensure high adoption across FP&A, Controllership, Treasury, and CFO leadership. Key Responsibilities End-to-End AI Application Prototyping & Delivery Own the full lifecycle of AI solutions for Finance business units—from initial discovery with CFO stakeholders to production deployment, user adoption, and ROI measurement. Rapidly prototype vertical applications using Streamlit, Databricks Apps, FastAPI/Flask, or lightweight React interfaces within 1–2 weeks to gather real user feedback. Handle "last mile" execution: edge cases, data quirks, business rule exceptions, and user training to turn prototypes into sticky enterprise products. Agentic Systems & LLM Engineering Build production-grade vertical AI tools leveraging Databricks Genie (Genie Spaces, semantic models). Construct robust RAG pipelines incorporating advanced chunking, vector databases (Pinecone, Chroma, FAISS, Azure AI Search, Cortex Search), retrieval evaluation, grounding, and citation. Implement LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex) and apply rigorous prompt engineering with hallucination and accuracy evaluation discipline. Enterprise Data & Regulated Integration Deploy applications inside heavily regulated enterprise environments, adhering strictly to RBAC, data residency, audit, and compliance constraints (SOX, GxP). Connect solutions to governed datasets, semantic models, and core enterprise platforms (SAP, Workday, Coupa, ERP) via secure REST APIs. Instrument all deployed apps with usage metrics, telemetry, and business outcome tracking from day one. Strategic Stakeholder Advisory & Pattern Extraction Work directly with senior Finance leadership (CFO office, FP&A, Controllership) to translate ambiguous operational friction into crisp technical roadmaps. Extract reusable code components, prompt templates, evaluation harnesses, and retrieval patterns into shared enterprise assets for broader deployment. Requirements Experience & Mindset Experience: 5+ years of hands-on software development and full-stack AI application deployment. Product-Shaped Builder: Strong bias for action; comfortable shipping rough prototypes in Week 1 over polished spec documents in Week 4. Ambiguity Tolerance: Proven ability to navigate vague business problems without predefined specifications. Stakeholder Communication: Outstanding ability to interface directly with senior business leaders without requiring intermediary Business Analysts. Must-Have Technical Stack Languages & Frameworks: Python, FastAPI/Flask, SQL, and UI frameworks (Streamlit, Databricks Apps, React). AI Platforms: Direct hands-on experience with Databricks Genie . LLM Engineering: Production experience with LangChain, LangGraph, LlamaIndex, vector search engines, and prompt evaluation harnesses. Cloud & DevOps: Deep working knowledge of Cloud platforms (Azure preferred, AWS/GCP acceptable), modern Git workflows, CI/CD, and basic MLOps awareness (observability, versioning via LangSmith, Datadog, etc.). Domain Competency (Finance Focus) Solid foundational understanding of core Finance business processes (FP&A, order-to-cash, procure-to-pay, record-to-report, close cycles) and common financial metrics (OPEX, EBITDA, gross margin, working capital). Nice-to-Haves & Certifications Prior FDE, Solutions Engineer, or Field Engineer experience at high-growth AI/Data companies (Palantir, Databricks, OpenAI, Anthropic). Industry background in Life Sciences, Pharma, Healthcare, or CPG enterprise Finance. Experience with enterprise Finance software (SAP S/4HANA, Veeva, Workday Adaptive, Oracle Financials). Certifications: Databricks Certified, or Azure AI Engineer Associate (AI-102). What This Role Is NOT Not a pure Data Scientist or ML Researcher: You will not be training or fine-tuning foundation models from scratch; you are applying existing models to business problems. Not a non-coding Architect: This is a 100% hands-on builder role. Not a pure Backend or MLOps Engineer: You must be comfortable owning the user-facing interface and direct business interaction.

Location: Kuala Lumpur, Malaysia; Philippines; Taiwan The Role The Enterprise Client Success Manager (CSM) exists to ensure the successful delivery, adoption, and long-term impact of our mental health benefits platform across key strategic and large enterprise accounts. This is a high-touch, consultative role focused on translating our solution into measurable value for clients. The Enterprise CSM owns the end-to-end client journey, from implementation and program design to engagement strategy, reporting, renewals, and expansion. They act as a trusted advisor to senior HR and business stakeholders, ensuring the programme aligns with organisational priorities and drives meaningful outcomes for employees. What You'll Do Main Responsibilities Serve as the primary point of contact for a portfolio of key strategic and large enterprise accounts Own end-to-end delivery of the mental health benefits platform across assigned clients Develop and execute customised mental health programme strategies aligned to each client’s workforce needs Build strong, long-term relationships with senior HR and business stakeholders Drive client satisfaction, retention, and expansion opportunities Coordinate cross-functional collaboration across Sales, Product, Engineering, Clinical, Marketing, and Delivery teams Analyse engagement, utilisation, and outcome data to demonstrate value and inform strategy Identify product enhancement opportunities based on client feedback and insights Day-to-Day Activities Client Relationship Management Conduct regular client check-ins (weekly, monthly, quarterly) Prepare and present QBRs and impact reports Respond to client queries, escalations, and operational requests Align on programme priorities, campaign calendars, and engagement initiatives Manage renewals conversations and identify upsell/cross-sell opportunities Programme Delivery & Project Management Oversee implementation timelines and onboarding processes Coordinate webinars, roadshows, campaigns, and engagement initiatives Ensure platform configurations, credits, and reporting are accurate Track project milestones and manage internal follow-ups Ensure service quality standards are maintained across clinical and operational delivery Strategic Advisory & Consulting Develop tailored engagement strategies based on workforce demographics and needs Advise clients on mental health trends, utilisation benchmarks, and best practices Provide recommendations to improve adoption, communication, and ROI perception Align programme strategy with client organisational goals (e.g., wellbeing, retention, productivity) Data Analysis & Insights Monitor utilisation rates, credit consumption, engagement metrics, and CSAT/NPS Analyse trends and identify risks or growth opportunities Develop insights and narratives to demonstrate programme impact Use data to inform renewal and expansion discussions Cross-Functional Collaboration Translate client feedback into clear product and operational requirements Work with Product and Engineering on feature enhancements or fixes Partner with Marketing on engagement campaigns and communication materials Coordinate with Clinical and Delivery Ops for service quality and provider matters Support Sales in enterprise pitches, renewals, and expansion proposals Continuous Improvement & Innovation Identify recurring pain points and process inefficiencies Contribute to internal playbooks, best practices, and reporting frameworks Proactively suggest platform improvements to enhance scalability and client value Requirements Who You Are Bachelor's degree in Business, Management, or related field required. Master's degree would be a plus but not a requirement At least 3 years of experience in client success/account management/management consulting, preferably in a related industry such as healthcare, HR, change management, or benefits Proven track record of successful project delivery and account management, with experience managing large, complex projects and building long-term relationships with clients. Strong strategic thinking skills, with the ability to develop and execute on a strategic vision for clients. Excellent communication and interpersonal skills, with the ability to build trust and rapport with clients and internal stakeholders. Ability to work independently and as part of a team, with a strong sense of accountability and ownership. Familiarity with mental health benefits and/or related industries is a plus. Open to candidates from Malaysia (hybrid) and the Philippines (remote) Benefits Why You’ll Love Working With Us: Global company – work in a diverse environment with people from nearly 20 countries Generous leave policy – time off to rest and recharge Christmas week off – company-wide break during Christmas, separate from annual leave Birthday leave – enjoy a day off on your birthday Quarterly mental health days – one day off every quarter to focus on your wellbeing Flexible work arrangements – work in a way that suits your lifestyle and goals Work-life balance – a culture that values personal time and long-term wellness Medical coverage – comprehensive insurance for peace of mind Performance bonus – high performance is recognised and rewarded Development budget - annual allowance to support your professional development Mental health support – premium coaching access to our mental health app and resources & dedicated budget for clinical and psychiatric care Socials and communities – regular non-work events/activities to connect and have fun together

Location: United States We are looking for a fractional, client-facing Business Value Consultant to help customers and prospects understand and document the measurable value created by enterprise Salesforce solutions. This consultant will conduct thoughtful discovery with business and technical stakeholders, identify operational and strategic outcomes, and turn those findings into clear, executive-ready value reports. The role covers Salesforce operations broadly, including data protection, security, audit readiness, compliance, release processes, governance, and overall platform reliability—not solely DevOps. What You’ll Do Interview customer stakeholders across IT, Salesforce, security, compliance, operations, and business leadership. Understand the customer’s initial challenges, current workflows, risks, and business priorities. Identify and quantify outcomes such as time savings, reduced operational effort, lower risk, stronger compliance readiness, improved data resilience, faster recovery, better governance, and increased Salesforce-team productivity. Translate technical capabilities and customer usage into credible business-value stories. Create concise customer value reports, ROI summaries, executive presentations, and inputs for customer success stories. Partner with customer success, sales, solutions consulting, and marketing teams to support renewals, expansions, executive business reviews, and strategic sales opportunities. Recommend additional opportunities for customers to realize more value from their Salesforce environment. Requirements What We’re Looking For Experience in value consulting, management consulting, customer success, enterprise SaaS consulting, or business transformation. Strong familiarity with the Salesforce ecosystem and how Salesforce teams operate. Working knowledge of Salesforce data backup and recovery, security, audit trails, compliance, governance, and release/change-management practices. Ability to speak credibly with both technical practitioners and executive stakeholders. Experience building ROI analyses, value assessments, business cases, customer success stories, or executive reports. Excellent discovery, interviewing, analysis, writing, and presentation skills. Strong judgment: you distinguish verified customer outcomes from assumptions and document methodology clearly. Availability for flexible, project-based customer engagements across North American time zones.

Location: United States; New Jersey; Boston; Canada; New York; Washington, DC; Ottawa; Toronto; Montreal 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! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Note: between 20 - 40% travel anticipated. IN THIS ROLE, YOU WILL: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualization through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners YOU MAY BE A GOOD FIT IF: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting IT'S A BONUS IF YOU HAVE: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems 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: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As our Manager, Security Incident Response, you are at the center of how 1Password handles the moments that matter most. You will build and lead a team of builders: responders who don't just work incidents, but engineer the automation, tooling, and systems that make response faster and more scalable over time. You will guide program maturity, scale the team's capabilities through AI-assisted tooling, reinforce operational excellence, and step in as incident manager during complex, high-severity events. Success in this role blends strong people leadership with technical depth and sound judgment. As part of the Security leadership team, you will shape response strategy, build effective cross-functional partnerships, and help protect a product trusted by millions. This role reports to the Senior Manager, Threat Operations. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: • 5+ years in security incident response, with 2+ years as a people manager or technical leader supporting career development and performance management. • Experience building or scaling incident response automation, tooling, or AI-assisted workflows (triage, enrichment, investigation), with sound judgment about where automation should and shouldn’t make decisions. • Experience setting clear expectations, defining ownership, delegating work, and measuring outcomes. • Experience managing high-pressure security incidents with clarity, structure, and calm. • Strong understanding of cloud-native, SaaS, and identity-driven attack techniques and how to respond to them. • Strong communication skills, including the ability to explain complex findings, tradeoffs, and recommendations to technical and non-technical audiences. • Experience breaking down strategic initiatives into projects, coordinating team sprints, and managing work across competing priorities. • Passion for fostering psychological safety and stability in stressful environments. Who you are: • A people-first leader who prioritizes team development, psychological safety, and performance. • A builder at heart, someone who thinks in systems and automation, not just case queues, and hires and develops engineers with that same instinct. • Proactive in identifying gaps, inefficiencies, or operational risks and bringing forward actionable solutions, including where AI or automation can close them. • Effective at driving alignment across teams with differing priorities and perspectives. • Calm and decisive during high-pressure situations, with the judgment to prioritize effectively and make difficult tradeoffs. • A clear and transparent communicator who can align teams with differing priorities, surface tradeoffs, and advocate for sound security decisions. • Motivated by protecting people, data, and the business. What you can expect: • Build, lead, and develop a team of incident responders and security builders, setting clear expectations, creating meaningful ownership, and supporting growth. • Delegate effectively based on team strengths, development goals, capacity, and operational needs while maintaining accountability for outcomes. • Define and drive the security incident response roadmap and strategic priorities, including maturing agentic incident response, structured threat hunting, and insider risk investigations as sustained, scaled capabilities rather than one-time builds. • Balance competing priorities across incident response, strategic initiatives, and team development; make tradeoffs clear and push back when timelines, approaches, or requests create unnecessary risk or unsustainable workload. • Scale team capacity through AI-assisted tooling and automation, maintaining appropriate controls around human judgment, approval, auditability, and rollback. • Oversee detection, triage, containment, remediation, and post-incident learning, serving as an escalation point and incident manager for complex or high-severity events. • Partner with Detection Engineering, Cyber Threat Intelligence, Red Team and other teams to improve cross-functional processes and close detection or response gaps identified through investigations. • Evolve playbooks, training, tabletop exercises, metrics, and reporting to strengthen operational readiness and program maturity. • Participate in the on-call rotation, serving as the leadership escalation or incident manager during major or complex incidents. • Track and report on incident trends, operational metrics, and program maturity, including the impact of automation and AI tooling on response time and coverage. USA-based roles only: The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $171,000 CAD and $248,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE:   As Manager, Enablement Programs, you will own the programs and operating system that help sellers ramp fast and execute with confidence — from global onboarding to role-readiness, Field OS, and AI-enabled enablement workflows. This role exists because we’re evolving our Enablement and GTM motion, and we need a leader to drive that change: set the standard for what “great” looks like in the era of AI, build an AI-native enablement model, and own the agentic workflows that help the field execute. WHAT YOU'LL ACHIEVE: - By day 90: Build the first version of the Field OS as a seller-ramp unlock (priority workflows, trusted resources, and AI-enabled execution moments by role). - By day 90: Map and prototype the core custom agents that help sellers ramp faster and apply the right support at each stage of the sales process. - By day 90: Refresh onboarding around continuous iteration (A/B testing, measurement, and role-specific alignment to the sales process) and implement onboarding engagement + impact metrics. - By day 90: Stand up a dedicated manager onboarding track to help managers ramp faster and reinforce new-hire success consistently. - By end of year 1: Make onboarding and role readiness a repeatable system that measurably improves ramp and raises the bar on enablement quality through tight feedback loops and durable workflows. SKILLS YOU'LL NEED TO BRING: - Proven ability to design and run global enablement programs end-to-end (especially onboarding), including live + async modalities across regions and time zones. - Strong program leadership and operating cadence: clear roadmaps, decision-making, stakeholder alignment, and measurement that drives iteration (not just reporting). - Experience building scalable enablement systems (resource governance, intake processes, comms rhythms) that sellers actually use. - AI-fluent approach to enablement: using AI and automation to improve quality, speed, and consistency of seller execution (and instrumenting adoption/impact). - People leadership experience managing and developing a small team; sets high standards and builds a calm, high-ownership operating rhythm. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $220,000 - 275,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Remote-Friendly, United States; San Francisco, CA | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're hiring Cyber Evaluations Engineers to build and run the evaluations that measure cyber-relevant capabilities and safeguard robustness in our models. You'll design new evals, run per-release robustness testing, and dig into data on jailbreaks and prompt bypasses to understand where our safeguards hold up and where they don't. You'll also design many of the probes that detect cyber abuse in production and help shape the overall detection architecture alongside the policy team. Key responsibilities Design and run capability, uplift, and safety evaluations to assess cyber-relevant risk in new models Execute per-release safeguard-robustness testing ahead of major model launches Analyze evaluation results and communicate findings clearly to the team and to stakeholders Design, prototype, and tune detection probes for cyber misuse Work with the cyber policy team to turn policy lines into a layered, robust abuse-detection architecture, and measure its precision and coverage over time Build and maintain internal tooling used to run and score evaluations Collaborate with policy and engineering partners to translate eval findings into safeguard improvements Minimum qualifications Experience building or running evaluations, benchmarks, or test suites for software or ML systems, including delivering results on short, fixed timelines Hands-on cybersecurity experience (e.g., CTF participation, vulnerability research, exploit development, or security research) Proficiency in Python Strong ability to communicate evaluation results with multiple cross-functional stakeholders or potential policy stakeholders Preferred qualifications Deep offensive-security or security-research experience, including experience building AI security benchmarks Experience analyzing adversarial or abuse data (e.g., jailbreaks, prompt bypasses, intrusion or fraud telemetry) Experience working onsite with government partners on testing or evaluation engagements Experience with AI/ML evaluation frameworks Familiarity with coordinated vulnerability disclosure practices Experience testing pre-release or pre-deployment software or models under confidentiality constraints Experience authoring detection content (e.g., Sigma, YARA, Suricata, SIEM rules) or building ML-based abuse detection Active secret security clearance or higher, or eligibility to obtain one 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: $300,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Americas Remote About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. About the role Hi, my name is Diep N, VP, Finance at Customer.io , and I'm looking for a Global Controller to take the close, the books, and our control environment and make them theirs. We're a global, remote-first, private company built on subscription and usage-based revenue, and as we grow we need a controller who can lead the team already in place and sharpen the fundamentals. You'll lead a team of ~7, growing, across revenue accounting, close, AP/AR, payroll, and treasury, and partner closely with me and, given our CFO's broad remit, with stakeholders across Sales, Legal, IT, HR, and Engineering. What you'll do Lead monthly and quarterly close, GL, AP/AR, payroll, and account reconciliations, delivering accurate, timely US GAAP financials. Close currently runs ~10 business days; get us to 6-8 days within your first 12 months, with fewer post-close adjustments and aged reconciliations. Own revenue accounting and serve as our technical accounting authority on subscription and usage-based revenue recognition (ASC 606), including the ARR-to-GAAP bridge: reconciling ARR, billings, deferred revenue, contract assets, and usage true-ups to reported revenue, and explaining the delta to leadership and the board in plain terms. Author technical accounting position memos on contract modifications, SSP allocation, variable consideration, and capitalized contract costs, the work that makes "technical accounting authority" real. Own equity compensation accounting (ASC 718): grant accuracy, 409A timing, expense, modifications, and cap-table integrity, in partnership with stock plan administration. Manage and grow a team of ~7, with room to scale, building trust quickly and developing the leads beneath you. Build a control framework suited to a global, remote-first, private company with subscription and usage-based revenue, keeping the books audit-ready. Own our accounting systems roadmap and drive automation across close and reporting. Own select treasury operations, including cash management and banking relationships, and partner on FX exposure monitoring given our multi-currency footprint. Run our external audit relationship and coordinate with external tax partners on compliance, provisions, and filings. Manage the realities of a distributed, remote-first global team: statutory accounting coordination, payroll and contractor controls, entity reporting, and working with Legal, HR, and Tax on international compliance. What we're looking for 10+ years of progressive accounting experience, including leading a team through managers or leads. A Big 4 (or equivalent top-tier public accounting) foundation. Deep US GAAP mastery, particular strength in subscription and usage-based revenue recognition (ASC 606). A concrete, personally-owned automation or AI deployment in accounting with a measurable result, eliminating a manual reconciliation, reducing close time, or lowering error rate, that you can speak to in detail. Experience scaling an accounting function that was already running, not building one from zero. A proven track record with external audits and keeping books audit-ready. Strong leadership and communication skills, with credibility partnering with senior, cross-functional stakeholders. Nice to have: internal controls or SOX-readiness experience; remote-first/globally distributed company experience; M&A or deal accounting exposure; CPA license, active or inactive. Compensation & Benefits We believe in transparency. Starting salary for this role ranges from $250k to $280k USD (or equivalent in local currency), structured by geographic zone and depending on experience. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. 30-minute recruiter screen 45-minute hiring manager screen Two 30-minute cross-functional chats: one with a Legal partner, one with a People partner 60-minute case review call 30-minute bar raiser call with our CFO All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read — apply now.

Location: New York City Workplace: OnSite ABOUT PINECONE: Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io. ABOUT THE ROLE/TEAM: As a Technical PMM, you will help developers, software engineers, and machine learning scientists understand how Pinecone enables knowledgeable AI applications. You will accomplish this through messaging and positioning, GTM strategy, launch planning, and enablement for key product features. You will work closely with Product, Sales, Developer Relations, and Marketing teams to ensure our customers understand the value of our platform. RESPONSIBILITIES: - Product Launches & GTM Strategy: - Develop launch plans for product releases, align with product teams, and manage GTM execution. - Lead core launch teams with cross-functional members (documentation , communications, developer relations, product, growth marketing, etc). - Measure customer impact and adoption post-launch, iterating on strategies as needed. - Positioning & Messaging: - Craft compelling, technically accurate messaging for AI-powered search and retrieval solutions. - Build product narratives for enterprise and developer audiences that differentiate Pinecone from competitors. - Develop and maintain positioning for new product capabilities - Customer & Market Insights: - Partner with customers to develop case studies, gathering business impact metrics and architectural insights. - Engage in customer interviews and research to refine messaging and identify key value drivers. - Content Development & Enablement: - Develop internal and external enablement materials, including sales training, pitch decks, and GTM enablement sessions. - Collaborate with marketing to create social posts, blogs, and technical content. REQUIREMENTS: - 7+ years of experience in product marketing, ideally at a developer-focused or AI/ML infrastructure company. - Strong technical acumen with hands-on experience in AI, ML, vector search, cloud computing, or databases. - Proven track record in launching technical products and driving adoption in enterprise and developer communities. - Partner with enterprise sales to build sales enablement and help navigate the deal. - Ability to translate complex technical concepts into clear, compelling messaging for different audiences. - AI-native workflow from content creation to automating away process - Experience working cross-functionally with Product, Engineering, Developer Relations, and Sales teams. - Excellent written and verbal communication skills. BONUS POINTS: - Experience in developer marketing or working directly with AI/ML practitioners. - Familiarity with vector databases, retrieval-augmented generation (RAG), or search technologies. - Knowledge of cloud infrastructure and AI model deployment. PERKS & BENEFITS: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

Location: Poland Workplace: remote About airSlate airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - SignNow, pdfFiller, DocHub, altaFlow, Instapage, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.   We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Ukraine and Philippines.  At airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment. About pdfFiller team: We are a passionate and ambitious team of 120+ people on a mission to succeed with our online PDF creator and editor — pdfFiller. pdfFiller empowers over 10 million users every month to create and edit PDFs, send them for signing, and securely store documents within a single application. Offering unlimited storage, unlimited templates, and cross-platform integration, pdfFiller is the only PDF editor needed to get your document done. Beyond core editing, pdfFiller helps SMB customers move fast on document-based workflows — from invoice templates and lease agreements to online fax and notarization — so they can go fully paperless and focus on running their business, while securely handling financial, legal, and HR-related use cases through e-signature workflows and bulk form response collection. Now, we are looking for a Principal Product Manager to join us in the next chapter of growth as our brand expands and we bring new products to market. What you will be working on: Own a product track end to end: strategy, discovery, roadmap, delivery and outcome. You decide what problem is worth solving, not only what gets built next. Run evidence-led discovery. Customer interviews, support insight, behavioral data and competitive analysis, turned into clear written problem statements and sized opportunities. Prioritize against business impact. Make the case for investment in your area, and against work that will not pay off, including your own. Ship with your triad. Partner with a designer and an engineering manager to cut work into small increments, write clear requirements, and hold quality, stability and security as non-negotiable. Experiment and read the results honestly. Define hypotheses and success metrics before you build, run A/B tests at real scale, and stop what does not work. Own your numbers. Define the KPIs for your track, monitor the funnel, and report progress, risk and learnings to product leadership. Work across functions and across the portfolio: marketing, support, data, and the sibling products at airSlate. What we expect from you: 5+ years in product management, including at least two owning a self-serve SaaS product, or a significant surface of one, end to end. A track record of measurable business outcomes (conversion, activation, retention, ARPU), not a list of shipped features. Strong experimentation practice: designing and sizing A/B tests, interpreting results, and acting on negative results. Comfort with data: defining metrics, working in a BI tool, reading or writing SQL, forming and testing hypotheses independently. Discovery craft: talking to customers directly, and turning what you hear into problem statements a team can act on. Product-led growth in a high-volume self-serve funnel: paid acquisition, trial or freemium, activation and monetization. Shipping AI features into real user workflows, with a realistic view of where AI adds value and where it does not. Ability to work in ambiguity and bring structure to it. Comfortable using AI to significantly increase personal productivity. Nice to have: Domain background in documents, workflow automation, e-signature, fintech, HR tech or legal tech. SMB or prosumer customers rather than enterprise-only. Professional working proficiency in English, B2 to C1 or above. Much of our decision-making happens in writing. Polish (B1 to B2) is a plus, not a requirement. What we offer   Flexible working environment - Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries.   Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience,  plus a performance-based bonus system and stock options so you share in the company’s growth.   Professional growth and learning - We invest in your development through courses, conferences, and access to learning resources. We encourage career growth and internal mobility, supporting teammates who want to explore new opportunities within airSlate.   Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days, when everyone takes time off to rest and recharge.   Family‑friendly culture - Family life is part of who we are, and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids, to company-wide family days and our pet-friendly approach, we’re committed to making work and life easier to balance.   Giving back - We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions, matching employee donations and supporting causes chosen by our teams.   Open communication - We encourage transparent dialogue at all levels. From team discussions to company-wide Q&A sessions with our CEO, we make sure everyone has the chance to be heard and to influence how we grow.       It is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.   Read our Recruitment Privacy Notice to Learn how we process your personal information.

Location: United States; Canada; London 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! As Cohere scales its enterprise AI platform and accelerates its position as a leader in sovereign AI solutions, we need a strategic Corporate Development leader to drive high-impact partnerships, M&A, and long-term business development. This role will focus on expanding Cohere’s ecosystem through strategic alliances, channel relationships, and targeted acquisitions that support our growth in regulated industries, government sectors, and global markets. Key Responsibilities M&A Strategy: - Evaluate and execute acquisitions or investments in complementary technologies that strengthen our core platform, particularly in compute infrastructure, specialized AI capabilities, and regulatory compliance tools - Lead due diligence processes with cross-functional teams to ensure technical integration feasibility and strategic alignment - Manage post-merger integration to maximize value realization and revenue synergies Market Expansion: - Support entry into new verticals and geographies through targeted collaborations with industry leaders and government partners - Develop market entry strategies that address regulatory requirements and sovereignty concerns in key international markets - Create partnership frameworks that enable rapid scaling in high-growth sectors - Partner with sales and marketing teams to create joint GTM strategies that drive adoption and revenue growth Cross-Functional Leadership: - Partner with product, engineering, and legal teams to ensure deals align with technical capabilities, ethical AI standards, and regulatory requirements - Collaborate with finance to develop robust financial models and valuation frameworks for partnership and M&A opportunities - Work with government relations and policy teams to navigate complex regulatory landscapes and secure strategic government partnerships Strategic Partnerships: - Identify and negotiate transformative alliances with key players in our ecosystem, including telcos (e.g., Bell), hardware infrastructure providers (e.g., BUZZ HPC), cloud platforms, and government entities to accelerate Cohere’s go-to-market and sovereign AI deployment capabilities - Develop partnerships that enable on-premise and edge deployment solutions for customers requiring data sovereignty and regulatory compliance - Leverage relationships with enterprise software vendors and data platforms to enhance North’s enterprise-grade AI offerings Qualifications Experience: - 12+ years in corporate development, strategic partnerships, or investment banking at a technology company, with proven experience in AI, SaaS, or enterprise software - Demonstrated success in closing partnerships and M&A deals that drove significant revenue growth or strategic market access - Experience with sovereign AI deployments, regulatory compliance (CTA, export controls), and government partnerships Skills: - Strong negotiation and deal-structuring ability with experience in complex, multi-stakeholder agreements - Extensive network in AI/enterprise tech ecosystems, including telcos, hardware providers, and government entities - Analytical rigor with expertise in financial modeling, market sizing, and valuation analysis - Cross-functional leadership and stakeholder management skills - Deep understanding of current AI regulatory landscape and compliance requirements Track Record: - Experience executing M&A transactions that successfully integrated complementary technologies and accelerated growth - History of building and scaling strategic partnerships that delivered measurable revenue impact and market expansion - Proven ability to navigate complex regulatory environments and secure government/enterprise partnerships Why Join Cohere? - Impact: Shape Cohere’s growth trajectory through high-impact deals that position us as the leader in sovereign enterprise AI - Autonomy: Build Corporate Development from the ground up in a company with a clear vision and strong market momentum - Culture: Collaborative, innovative environment focused on responsible AI development and deployment - Growth: Opportunity to work at the intersection of cutting-edge AI technology, strategic partnerships, and global market expansion 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: 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 Every request that hits Claude — from claude.ai , the API, our cloud partners, or internal research — depends on a set of decisions made before it ever reaches a model: where each request should be served and how much capacity each model needs right now. Getting those decisions right is crucial to satisfying throughput, reliability, and latency constraints. This group builds the control plane that makes those decisions for Anthropic's inference fleet and own the inference request path. This is a deeply technical group. The engineers here design placement and load-balancing algorithms, build quantitative models of demand, capacity, and system performance, improve latency across kernel, network, and framework boundaries, and reason carefully about how a change to the fleet ripples through everything that depends on it. You'll lead a strong group of ML platform, infrastructure, and distributed-systems engineers working alongside the teams that build our ML internals and cloud infrastructure. You need enough systems depth to make architectural calls, hire people who go deep, and see when a proposed change will ripple across the fleet. You're accountable for the health of the whole path from request to model: its efficiency, its reliability, and how well it evolves as models, hardware, and clouds change underneath it. Key responsibilities Own the technical roadmap for how the inference fleet is coordinated — where traffic goes, where capacity lives, how caches are placed, how fast the system reacts to demand, and the protocols that keep the control plane and the inference engines in sync Partner with the product, inference engine, performance, and capacity teams to identify throughput, latency, utilization, and cost wins, then turn those into shipped improvements with measurable results Build the group's habit of quantitative modeling: claim a win only when you can measure it, and know before you ship what the expected effect is Set technical strategy for how the control plane evolves across heterogeneous hardware, across multiple cloud providers, and across all our serving surfaces Run the group's operational backbone — on-call rotations, incident response, postmortem review, deploy safety — so the teams can ship aggressively without the system becoming fragile Create clarity at a seam: this group sits between the API surface, the inference engines, capacity planning, and the cloud deployment teams Develop and retain strong existing teams, and hire against a high technical bar Coach engineers through a roadmap where priorities shift Shape team structure as the scope grows: decide where the boundaries between problem areas should sit, and grow leads who can own each Pick up slack when it matters. These are small teams on a critical path; sometimes the EM is the one unblocking a stuck initiative or synthesizing a design debate Minimum qualifications Engineering management experience leading teams on critical-path production infrastructure at scale A deep systems background — load balancing, scheduling, cluster orchestration, autoscaling, cache-coherent distributed state, high-performance networking, or similar — with enough depth to make architectural calls about how a large fleet is coordinated and to evaluate candidates who go to the kernel and framework level Experience shipping performance or efficiency improvements in large-scale systems, and the ability to explain, with numbers, what the impact was — including the cost side, not just the latency side Experience running production infrastructure with real operational stakes: on-call, incident response, capacity events, deploy discipline A results-oriented, impact-driven approach, and comfort working in a space where throughput, latency, cost, stability, launch timelines, and feature velocity all pull in different directions Ability to build strong relationships across team boundaries — this is a seam role, and much of the job is making sure other teams can rely on yours Curiosity about machine learning systems — you don't need an ML research background, but you should want to learn how transformer inference actually works and how that shapes the systems problems Preferred qualifications 5+ years of engineering management experience Experience with LLM inference serving — KV caching, continuous batching, request scheduling, prefill/decode disaggregation Background in cluster schedulers, autoscalers, load balancers, service meshes, or fleet control planes at scale (Kubernetes internals, Borg-style systems, or equivalents) Experience running workloads across multiple clouds or partner platforms, and the reliability and cost trade-offs that come with it Familiarity with heterogeneous accelerator fleets and how hardware differences affect workload placement and rollout sequencing Experience leading teams at supercomputing or hyperscaler infrastructure scale Experience leading multiple teams or a group through rapid-growth periods where hiring, onboarding, and team splits competed with roadmap delivery 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: $405,000 — $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. Responsibilities Partner with Product Managers and Engineers throughout product discovery, from identifying problems and opportunities to defining and validating solutions. Translate user feedback, business goals, product requirements, and technical constraints into thoughtful product improvements. Own the end-to-end design process — from early ideas, user flows, and wireframes to prototypes, high-fidelity UI, implementation, and post-launch iteration. Use qualitative and quantitative data to inform design decisions and measure the success of shipped features. Design thoughtful, intuitive experiences that solve real user problems and create business value. Work closely with engineers during implementation, provide clear design guidance, and ensure the final product meets the intended quality. Collaborate with Product Managers, Engineers, Researchers, and other team members to find optimal solutions. Work collaboratively with other Product Designers to maintain consistency, contribute to the design system, and improve the product holistically. Understand customers, their needs, and behaviors through research, market analysis, product data, and feedback. Important/challenging tasks Turn ambiguous product problems into clear user flows, concepts, prototypes, and testable solutions. Validate design ideas through usability testing, user feedback, product data, and experimentation. Conduct user research to understand user needs, motivations, behaviors, and pain points. Balance user needs, business goals, and technical constraints when making design decisions. Design complex flows across different user states, platforms, screen sizes, and edge cases. Create detailed design specifications and work closely with Engineers throughout implementation. Iterate on shipped experiences based on qualitative and quantitative insights. Communicate design rationale clearly to stakeholders and build alignment around proposed solutions. Participate in design critiques and provide constructive feedback to other Product Designers. Manage and prioritize multiple design initiatives while maintaining a high level of quality. You’ll thrive here if you have 5+ years of experience as a Product Designer working on web-based products. Strong portfolio demonstrating end-to-end product design work, particularly for web products; mobile and desktop experience is a plus. Strong user-centered and product thinking, with the ability to connect user needs with business goals. Experience working in cross-functional product teams with Product Managers and Engineers. Ability to independently drive design work from an ambiguous problem to a shipped and validated solution. Experience using qualitative and quantitative insights to inform and validate design decisions. Strong interaction design, information architecture, prototyping, and visual design skills. Strong Figma skills and experience working with component-based design systems. Good understanding of front-end development principles and ability to collaborate effectively with engineers. Ability to think through complex user flows, responsive behavior, different user states, and edge cases. Excellent communication skills and ability to clearly explain and defend design decisions. English at B1/B2 level or higher, sufficient for day-to-day collaboration and presenting design decisions. It will be a plus Experience working on complex, high-traffic B2C products. Experience with product analytics, experimentation, and data-informed design. Experience contributing to design systems and maintaining design documentation. Experience using AI tools to accelerate product design workflows. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's compute fleet is one of the largest and most varied in the world, and everything we do from training frontier models to serving Claude depends on getting the right work onto the right hardware at the right time. Our Scheduler team owns that problem. We build the scheduling layer for Anthropic's Kubernetes fleet, the tools researchers and engineers use to launch and manage their jobs, and the systems that make sure the fleet is used as efficiently as possible. When a researcher starts a run, the scheduler decides where it lands and how quickly; when demand outstrips supply, it decides who waits. This team provides the paved path that lets everyone at Anthropic get compute when they need it without becoming an expert in the infrastructure underneath. We're looking for an engineering manager to lead this team. The scheduler is on the critical path for nearly all of Anthropic's compute, and the mandate is expanding quickly: making scheduling work seamlessly across a growing, heterogeneous fleet; raising utilization while keeping jobs starting fast; making the system's decisions predictable and explainable to the people who depend on it; and making the job-launch experience something researchers rarely have to think about. You'll lead a team building infrastructure that the entire research and product organization depends on, and you'll partner closely with capacity planning, research, inference, and product teams to make efficient use of the fleet. Key responsibilities Lead and grow a team of engineers building Anthropic's scheduling platform, job-launch tooling, and fleet-efficiency systems, owning planning, execution, and delivery against key milestones Set technical direction for scheduling, placement, queueing, and quota across Anthropic's compute fleet Partner with capacity planning, research, inference, and product teams to bring workloads onto the paved path and make efficient scheduling decisions Drive the roadmap for scheduler capabilities, fleet utilization, and the developer experience of launching and managing jobs Define and track the metrics that measure fleet efficiency and scheduling quality (utilization, queue wait, job-start latency, etc.) and hold the team accountable to them Create clarity for the team and stakeholders in an ambiguous, fast-moving environment where demand for compute routinely exceeds supply Take an inclusive, equitable approach to hiring, coaching, and career development, and sustain a high-performing, healthy team Represent the team across the engineering organization and contribute to engineering-wide initiatives as a member of Anthropic's engineering management group Minimum qualifications Experience managing and growing a team of software engineers A hands-on software engineering background as an individual contributor prior to moving into management Experience building or operating large-scale distributed or infrastructure systems in production Working knowledge of Kubernetes and cluster scheduling concepts, such as resource requests and limits, affinity, priority and preemption, and custom schedulers or controllers Excellent written and verbal communication skills, including the ability to create clarity across teams Preferred qualifications 5+ years of engineering management experience, including leading infrastructure, platform, or compute teams Experience owning a cluster scheduler, job orchestration system, or resource manager at scale Familiarity with scheduling ML workloads on accelerators and the tradeoffs between utilization, fairness, and latency Experience building developer tooling that other engineers rely on every day A background in observability or incident response for control-plane systems, and a track record of improving production reliability A track record of building a culture of belonging and of engineering excellence Low ego, high empathy, and a habit of leading by example 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: $405,000 — $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. 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.