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Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: You'll be the product manager for our Canvas and Agentic AI teams - the teams building Honeycomb's AI-powered investigation experience. Canvas lets engineers use natural language to query, visualize, and understand their production systems. We're pushing well past chat: we're building Skills (pre-configured workflows that encode domain expertise into repeatable, executable actions), Auto-Investigations (agent-driven investigations that kick off before a human gets paged), and a rearchitected Canvas that's both interactive and collaborative. You'll work in a tight triad with engineering and design leads, owning the roadmap for how AI shows up in Honeycomb, from the product UI to our MCP server. You'll partner with our Director of AI Strategy, Research & Development teams, and our customer-facing teams to stay grounded in what customers actually need while pushing toward something meaningfully different from what exists today. This is a role for someone who can hold both execution and ambiguity: shipping production features while navigating a product space where the right answers are still emerging. What you’ll do in the role: Define AI product strategy in service of Honeycomb's vision Synthesize AI trends, customer needs, and technical capabilities into clear strategic recommendations Help the product organization understand where and how AI creates genuine customer value vs. where it's hype Identify emerging observability challenges created by AI adoption (e.g., LLM drift, prompt regression, low-context generated code) Make informed bets about which AI technologies and approaches warrant investment Conduct research that bridges technology and customer reality Build deep understanding of how customers are adopting AI in their engineering workflows Identify patterns across customer conversations that signal future market needs Stay current with AI/ML developments (RAG, fine-tuning, agentic systems, etc.) and translate implications for observability Engage with technical communities, researchers, and early adopters to spot trends before they go mainstream Enable AI innovation across the product portfolio Partner with product teams to identify high-value opportunities to leverage AI capabilities Provide guidance on AI approaches, trade-offs, and best practices without centralizing all decisions Help teams understand how their work fits into our broader AI strategy and how to leverage shared capabilities Synthesize cross-portfolio learnings and socialize what's working (and what isn't) Evangelize the AI-observability connection Articulate Honeycomb's point of view on AI observability both internally and externally Help customers understand how observability needs evolve as they adopt AI Contribute to thought leadership through writing, speaking, and community engagement Build credibility with technical audiences who care deeply about how we use AI, not just that we use it What you’ll bring to the role: Proven AI product experience 5+ years in product management with at least 1+ year shipping AI/ML-powered products Track record of taking AI features from concept to customer impact, including things that didn't work Deep understanding of how engineering teams actually build, deploy, and operate AI systems (not just theoretical knowledge) Familiarity with current AI/ML techniques and the judgment to know when they're applicable vs. overhyped Strategic thinking with customer empathy Ability to synthesize disparate signals (research, customer feedback, technical trends) into coherent strategy Comfort operating with ambiguity and making decisions without perfect information Pattern recognition across conversations—spotting what customers aren't yet saying clearly Strong judgment about when to say "no" or "not yet" despite exciting technology Technical credibility without needing to be the expert Enough technical depth to have earned respect from engineers and architects Genuine curiosity about how things work, paired with humility about what you don't know Ability to evaluate trade-offs between different AI approaches (RAG vs. fine-tuning, model selection, etc.) Understanding of observability principles and why they matter in production systems Communication and collaboration skills Excellent written and verbal communication—can explain complex ideas clearly to varied audiences Ability to influence without authority across product, engineering, and go-to-market teams Comfort presenting to customers, executives, and technical audiences Collaborative mindset that elevates others' work rather than centralizing control Curiosity and learning orientation Demonstrated ability to stay current in fast-moving domains (AI is evolving weekly, not yearly) Intellectual humility—you're more interested in learning than being right Excitement about the intersection of AI technology and real customer problems Energized rather than exhausted by the pace of change in AI Base Salary based on level of experience $272,739 — $320,829 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: Higgsfield AI is looking for a hands-on Member of Technical Staff, Product Security to identify and eliminate security vulnerabilities across our rapidly evolving AI products and platforms. As we build agentic systems, code-generating agents, generative AI models, and enterprise applications, you'll play a critical role in securing new features before they reach production. Working closely with Product and Engineering, you'll conduct offensive security testing, identify architectural weaknesses, and drive fixes to their root cause. You'll also turn recurring vulnerabilities into scalable security standards and automated controls. We're looking for someone with a proven track record of finding real vulnerabilities in production systems, strong technical judgment, and the ability to work directly with engineers to build more secure products. WHAT YOU'LL DO OFFENSIVE SECURITY & VULNERABILITY RESEARCH - Conduct hands-on penetration testing of new products and features, including web applications, APIs, and administrative interfaces. - Identify security risks across agentic systems, MCP servers, code-generating agents, and AI-powered applications. - Independently map attack surfaces and uncover authorization, authentication, and multi-tenant isolation vulnerabilities. - Develop proof-of-concept exploits, validate findings, and retest remediation efforts. SECURE DESIGN & APPLICATION SECURITY - Partner with Engineering early in product development to identify and prevent security flaws before release. - Conduct threat modeling, architecture reviews, and security-focused code reviews. - Analyze complex codebases to trace vulnerabilities to their root cause and recommend effective fixes. - Assess security risks across generative AI products, user-deployed applications, and enterprise features such as SSO and role-based access controls. SECURITY ENGINEERING & AUTOMATION - Translate recurring vulnerabilities into secure development standards, reusable controls, and automated security checks. - Build security tooling and integrate preventive controls into development and CI/CD workflows. - Identify systemic weaknesses and implement solutions that prevent entire classes of vulnerabilities. - Apply cloud, container, and infrastructure security knowledge to investigate vulnerabilities across the application stack. TECHNICAL OWNERSHIP & COLLABORATION - Own security findings from discovery through remediation, working directly with engineers to implement lasting fixes. - Prioritize vulnerabilities based on exploitability, business impact, and real-world risk. - Establish practical security standards that enable rapid product development without compromising security. - Help define security practices for emerging AI technologies and new product architectures. WHAT WE'RE LOOKING FOR - 5+ years of hands-on experience in product security, application security, penetration testing, or vulnerability research. - Proven track record of independently discovering and exploiting real vulnerabilities through application security work, bug bounty programs, or security research. - Deep understanding of web application and API security, including authentication, authorization, and multi-tenant isolation. - Strong ability to read and analyze modern codebases, identify root causes, and collaborate with engineers on remediation. - Experience conducting threat modeling, secure design reviews, and hands-on penetration testing. - Proficiency in scripting or programming languages such as Python, JavaScript, TypeScript, or Go. - Familiarity with cloud infrastructure, containers, and modern application architectures. - Ability to translate security findings into scalable engineering controls and automated checks. - Strong technical judgment, independent problem-solving skills, and a proactive approach to identifying security risks. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $200,000 - $300,000, depending on experience, skills, scope, and location. • Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. Role Overview Higgsfield AI is looking for a hands-on Member of Technical Staff, Enterprise Security to own security across our corporate systems, employee devices, identities, and SaaS applications. As we scale globally, you'll secure the systems our workforce relies on, from endpoint management and identity governance to threat detection and response. Working closely with IT, Infrastructure Security, and Engineering, you'll implement technical controls, automate security operations, and strengthen access governance. This is a hands-on engineering role requiring someone who personally builds, configures, and operates security systems. We're looking for someone with broad corporate security expertise, strong technical judgment, and the ability to prioritize meaningful risks in a fast-moving environment. WHAT YOU'LL DO ENDPOINT & DEVICE SECURITY - Own endpoint security across corporate devices using Microsoft Intune/MDM, including enrollment, compliance, and device lifecycle management. - Implement and operate EDR/XDR capabilities, including threat detection, investigation, and remediation. - Establish endpoint hardening standards and security baselines in partnership with IT and Engineering. IDENTITY & ACCESS SECURITY - Own corporate identity infrastructure across Microsoft Entra ID, including SSO/SAML, SCIM, MFA, Conditional Access, and RBAC. - Manage joiner, mover, and leaver (JML) workflows, ensuring secure provisioning and timely offboarding across SaaS applications. - Administer password management, privileged access, and credential security controls. - Conduct access reviews and implement least-privilege and Zero Trust principles. SAAS & CORPORATE APPLICATION SECURITY - Evaluate new SaaS applications, maintain approved application standards, and identify shadow IT. - Secure corporate collaboration tools, including email, Slack, and file-sharing platforms. - Review application configurations, permissions, and authentication controls. - Lead security awareness initiatives, including phishing simulations and employee training. DETECTION, RESPONSE & AUTOMATION - Monitor and investigate security alerts across identity, endpoints, and corporate applications. - Build detection capabilities for compromised accounts, suspicious activity, and endpoint threats. - Automate provisioning, access reviews, compliance checks, and security workflows using scripts and APIs. - Partner with Infrastructure Security to integrate endpoint and identity signals into centralized monitoring. - Lead incident investigation, containment, and remediation. TECHNICAL OWNERSHIP & LEADERSHIP - Identify and prioritize enterprise security risks based on business impact. - Lead security initiatives from technical design through implementation and ongoing operations. - Establish scalable security standards and practical engineering controls. - Partner cross-functionally to strengthen security without slowing business operations. WHAT WE'RE LOOKING FOR - 4+ years of hands-on experience in enterprise security, corporate IT security, or security engineering, ideally in a high-growth technology environment. - Proven experience personally implementing, configuring, and operating corporate security systems. - Strong experience with Microsoft Entra ID, SSO/SAML, SCIM, MFA, Conditional Access, and identity lifecycle management. - Hands-on experience with Microsoft Intune/MDM, endpoint compliance, and EDR/XDR. - Experience securing SaaS applications, corporate collaboration tools, and privileged access. - Proficiency in scripting and automation using Python, PowerShell, Bash, or similar languages. - Experience with security monitoring, incident investigation, and remediation. - Strong understanding of Zero Trust, least-privilege access, and corporate security practices. - Sound technical judgment, independent problem-solving skills, and broad expertise across corporate security domains. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $200,000 - $300,000 depending on experience, skills, scope, and location. • Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: Remote Workplace: Remote STAFF PRODUCT MANAGER, PRODUCT DISCOVERY ENGINE ABOUT US Constructor powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you’ve probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We’re approximately doubling year over year despite the market slowing down and have customers in every eCommerce vertical. We’re a passionate team of technologists who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. JOB SUMMARY We’re looking for a systems-minded Staff Product Manager to take Constructor’s search and discovery to the state of the art — and keep it there — across every retail industry we serve. This is a highly technical, high-leverage role at the core of our Product Discovery Engine chapter: the teams responsible for how we retrieve, understand, and rank the right products for every shopper, on every query, for every customer. Your job is to raise discovery quality and, through it, our customers’ business metrics. You won’t be measured on features shipped — you’ll be measured on relevance and business outcomes, like conversion, revenue per visit, and search-attributed GMV, moving up. You’ll start embedded with our Search Quality team, owning its strategy and roadmap and getting deep into the systems that decide what shoppers actually see. Over time, your mandate grows to setting direction for the entire Product Discovery Engine chapter — deciding where we’re heading and why across recall, ranking, query understanding, personalization, and the ML infrastructure underneath. This is a Staff role today with a clear path to Director as you take on chapter-wide leadership. Search at Constructor is fundamentally a machine learning problem, so this role lives and breathes ML. You’ll partner closely with ML, data science, and engineering to turn the latest research into production wins, keep us ahead of both commercial competitors and academic state of the art, and be the connective tissue that aligns multiple teams — ML Recall, ML Infra, and, over time, teams like CORE, SABR, and Catalog Management — behind a single, coherent vision for great discovery. If you’re excited about driving innovation across dozens of the world’s largest retailers, being held to relevance and business outcomes, and pushing an already best-in-class product further ahead, this role is for you. WHAT YOU’LL DO - Own business impact, not features. Drive measurable lift in search-attributed conversion, revenue per visit, and GMV alongside relevance across our customer base. - Deliver across every retail industry. Move quality and business metrics across all the verticals we serve, accounting for the differences in catalog, language, and shopper intent. - Keep us at the state of the art. Continuously translate the latest ML / IR research and competitive moves into production wins, and ship SOTA ML / LLM-assisted capabilities that beat our previous best on relevance. - Set chapter vision and strategy. Define the multi-quarter direction for the Product Discovery Engine — where we’re heading and why — tie it directly to customer business outcomes, and rally teams behind it. - Lead Search Quality first. Own its strategy and roadmap, driving measurable improvements in the relevance and correctness of results. - Orchestrate across the pipeline. Unify recall, ranking, query understanding, and personalization behind one definition of quality and one set of business metrics, so improvements compound instead of colliding. - Turn ML research into production wins. Partner deeply with ML and data science to take models — from candidate generation and recall to LLM-assisted interpretation — from idea to production, balancing accuracy, latency, and cost. - Make quality measurable and explainable. Build the metrics, evaluation frameworks, and tooling the whole chapter uses to measure, attribute, and explain discovery quality and its business impact. - Own quality under pressure. Lead investigation and triage when issues arise, and design durable, systemic fixes rather than one-off patches. - Grow the mandate. Expand into chapter-wide leadership spanning ML Recall, ML Infra, and — over time — teams like CORE, SABR, and Catalog Management. WHAT SUCCESS LOOKS LIKE Within your first year, you will have: - Driven measurable lift in search-attributed conversion and revenue per visit — moving business metrics, not just quality metrics. - Driven measurable business-metric lift (conversion, revenue per visit, GMV) and relevance lift across every major retail vertical we serve. - Shipped at least one state-of-the-art ML / LLM-assisted capability into production that beats our previous best on relevance. - Won head-to-head quality benchmarks against every major competitor in the verticals we compete in, with a repeatable, defensible methodology. - Taken core quality metrics to best-in-class levels and kept them improving quarter over quarter. - Stood up an evaluation framework and tooling that ties model and system investments directly to customer business outcomes. WHAT WE’RE LOOKING FOR - Extensive product management experience (typically 8+ years) in search, discovery, ML, or NLP-heavy products, including time operating at a senior or staff level. - A track record of moving business metrics at scale — conversion, revenue, engagement — not just shipping features, and of setting strategy across multiple teams. - Deep understanding of the end-to-end search pipeline: query interpretation → recall / candidate generation → ranking → reranking → personalization → delivery. - Strong ML product depth — owning production models and reasoning about tradeoffs between high-capacity (LLM / batch) and low-latency (real-time) approaches — and a habit of staying current with state-of-the-art research. - Fluency with retrieval and recall, query understanding (tokenization, synonyms, spelling correction, multilingual support), and search evaluation frameworks. - A rigorous, measurement-first mindset that ties every quality investment back to business outcomes. - Excellent cross-functional leadership — able to align teams with different goals behind a shared definition of quality and a shared set of business metrics, working shoulder-to-shoulder with engineering, data science, and ML Ops. - Comfort operating with ambiguity, setting direction where none exists yet, and leading through clarity and credibility rather than the org chart. BENEFITS - Unlimited vacation time — we strongly encourage all of our employees to take at least 3 weeks per year. - A competitive compensation package including stock options. - Company-sponsored US health coverage (100% paid for employee). - Fully remote team — choose where you live. - Work-from-home stipend! We want you to have the resources you need to set up your home office. - Apple laptops provided for new employees. - Training and development budget for every employee, refreshed each year. - Parental leave for qualified employees. - Work with smart people who will help you grow and make a meaningful impact. This position is fully remote — Constructor.io http://Constructor.io is a remote-first company. DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Ping Identity is looking for a Chief of Staff to drive customer performance reporting, retention planning, and executive decision-making.

Carta is looking for a Staff Software Engineer Investors to lead technical strategy, improve systems, and guide engineering standards.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Team Cloud Infrastructure Engineering is a critical engineering discipline and a job function in the company. Its charter is to build tools and infrastructure that promote early detection of production failures, leading to a stellar customer experience. Our work is to drive safety, health and uptime of our platform, and the ability to remedy unforeseen problems. By removing some of the complex burdens on how to scale and maintain uptime in distributed systems, Cloud Infrastructure Engineer allows development teams to focus on feature development instead of the nuances of achieving and maintaining service level commitments. About the Opportunity: We’re looking for a creative and driven individual that can spearhead our effort to push “outside the box” infrastructure implementations, that will have a tremendous impact on our platform’s stability and scalability. What You’ll Be Doing: Responsible for the maintenance and configuration of AWS products and services Responsible for the research, architecture and project implementation solutions based on AWS products Responsible for the daily maintenance of each AWS cloud environment Support the deployment, maintenance and scaling of big data and machine learning platforms (e.g., Databricks, AWS SageMaker, Aliyun DSW) to enable data processing and model training workflows Own the Databricks platform on AWS end to end: workspace provisioning, account/workspace configuration, cluster policies, instance pools, and SQL warehouses, managed as code via the Databricks Terraform provider Monitor and optimize Databricks cost and performance, including cluster sizing and autoscaling, Photon/serverless adoption, DBU usage tracking via system tables, and job reliability tuning Automate the provisioning, scaling, and configuration of infrastructure resources using tools like Terraform and CI/CD pipelines Assist the team in troubleshooting and resolving production database issues during incidents Monitor company services and handle alerts in a timely manner to ensure service stability and uptime Collaborate with development teams to ensure seamless integration and deployment of new features Design, build and maintain internal platforms and tooling to improve operational efficiency, and support unified multi-cloud management across AWS, Alibaba Cloud, and other providers What We Look For In You: Bachelors degree or above, major in Computer Science or relevant domains, with over 6 years of experience in DevOps, SRE, DBA or related positions Proficient in AWS distributed management, large-scale clustering, fault tolerance, backup, load balancing and other technologies Have a deep understanding of high availability architecture, capacity planning, and rich experience in handling complex problems Have solid Linux platform operation and maintenance and debugging capabilities, and be proficient in troubleshooting, configuration tuning, and performance analysis Familiar with Kubernetes (k8s) for container orchestration and management Familiar with the functional features of AWS products and core products, and have rich practical experience in deployment and tuning of EC2, EKS, VPC, or big data products Experience with microservices architecture, including deployment, scaling, and maintenance Experience in monitoring, O&M and management of AWS large-scale servers and containers Experience in relational databases (e.g., MySQL, PostgreSQL) and NoSQL or big-data storage systems (e.g., Redis, MongoDB, HBase) is a plus Hands-on experience with big data / machine learning platforms such as Databricks, AWS SageMaker, or Aliyun DSW, including supporting data pipelines, notebook environments, and model training/deployment workflows Familiar with the deployment, configuration and maintenance of Nginx, kong and other software Proficient in using Python/Go/shell for development Strong engineering skills, proficient in at least one infrastructure sub-area, public cloud networking, SRE, DevOps or cloud-native Experience with internal developer platforms and proficiency in AI-assisted development tools (e.g., Claude Code, Codex) to improve engineering efficiency Working knowledge of Terraform or similar IaC tools is a plus Excellent business analysis ability, system architecture ability, and problem-solving ability. and strong self-drive Nice to Have: Bilingual in English and Mandarin Familiar with the operation and maintenance management of Alibaba Cloud, Google Cloud, Microsoft Cloud and other cloud providers. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $214,666 to $321,999. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: You'll be the product manager for our Canvas and Agentic AI teams - the teams building Honeycomb's AI-powered investigation experience. Canvas lets engineers use natural language to query, visualize, and understand their production systems. We're pushing well past chat: we're building Skills (pre-configured workflows that encode domain expertise into repeatable, executable actions), Auto-Investigations (agent-driven investigations that kick off before a human gets paged), and a rearchitected Canvas that's both interactive and collaborative. You'll work in a tight triad with engineering and design leads, owning the roadmap for how AI shows up in Honeycomb, from the product UI to our MCP server. You'll partner with our Director of AI Strategy, Research & Development teams, and our customer-facing teams to stay grounded in what customers actually need while pushing toward something meaningfully different from what exists today. This is a role for someone who can hold both execution and ambiguity: shipping production features while navigating a product space where the right answers are still emerging. What you’ll do in the role: Define AI product strategy in service of Honeycomb's vision Synthesize AI trends, customer needs, and technical capabilities into clear strategic recommendations Help the product organization understand where and how AI creates genuine customer value vs. where it's hype Identify emerging observability challenges created by AI adoption (e.g., LLM drift, prompt regression, low-context generated code) Make informed bets about which AI technologies and approaches warrant investment Conduct research that bridges technology and customer reality Build deep understanding of how customers are adopting AI in their engineering workflows Identify patterns across customer conversations that signal future market needs Stay current with AI/ML developments (RAG, fine-tuning, agentic systems, etc.) and translate implications for observability Engage with technical communities, researchers, and early adopters to spot trends before they go mainstream Enable AI innovation across the product portfolio Partner with product teams to identify high-value opportunities to leverage AI capabilities Provide guidance on AI approaches, trade-offs, and best practices without centralizing all decisions Help teams understand how their work fits into our broader AI strategy and how to leverage shared capabilities Synthesize cross-portfolio learnings and socialize what's working (and what isn't) Evangelize the AI-observability connection Articulate Honeycomb's point of view on AI observability both internally and externally Help customers understand how observability needs evolve as they adopt AI Contribute to thought leadership through writing, speaking, and community engagement Build credibility with technical audiences who care deeply about how we use AI, not just that we use it What you’ll bring to the role: Proven AI product experience 5+ years in product management with at least 1+ year shipping AI/ML-powered products Track record of taking AI features from concept to customer impact, including things that didn't work Deep understanding of how engineering teams actually build, deploy, and operate AI systems (not just theoretical knowledge) Familiarity with current AI/ML techniques and the judgment to know when they're applicable vs. overhyped Strategic thinking with customer empathy Ability to synthesize disparate signals (research, customer feedback, technical trends) into coherent strategy Comfort operating with ambiguity and making decisions without perfect information Pattern recognition across conversations—spotting what customers aren't yet saying clearly Strong judgment about when to say "no" or "not yet" despite exciting technology Technical credibility without needing to be the expert Enough technical depth to have earned respect from engineers and architects Genuine curiosity about how things work, paired with humility about what you don't know Ability to evaluate trade-offs between different AI approaches (RAG vs. fine-tuning, model selection, etc.) Understanding of observability principles and why they matter in production systems Communication and collaboration skills Excellent written and verbal communication—can explain complex ideas clearly to varied audiences Ability to influence without authority across product, engineering, and go-to-market teams Comfort presenting to customers, executives, and technical audiences Collaborative mindset that elevates others' work rather than centralizing control Curiosity and learning orientation Demonstrated ability to stay current in fast-moving domains (AI is evolving weekly, not yearly) Intellectual humility—you're more interested in learning than being right Excitement about the intersection of AI technology and real customer problems Energized rather than exhausted by the pace of change in AI Base Salary based on level of experience $198,500 — $233,500 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

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: Notion is building the connected AI workspace where teams and agents think together, bringing knowledge, projects, meetings, and AI tools into one place. Joining Corporate Accounting means helping build the financial foundation for a business shaping how work gets done in the AI era. In this role you’ll be a key player on the Corporate Accounting team, working across global accounting areas with a focus on close activities, related reconciliations, and international statutory reporting. You’ll collaborate with teammates to strengthen the accounting processes that support Notion’s growth into new countries. At Notion, you’ll help build the repeatable operating practices that let a growing global business scale with confidence. This role is based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Be a key team player across monthly, quarterly, and annual close: Prepare accurate journal entries and adjustments with clear supporting documentation; support AP and cash reconciliations, including flux analysis and commentary; and complete close work on time. - Help establish reliable, repeatable global accounting processes as Notion expands into new countries. - By your 90th day, contribute meaningfully to close activities and take ownership of clearly defined global reconciliation work. - By your 90th day, organize and track open items, requests, and timelines across international statutory audits, coordinating with Tax and cross-functional partners. - By your 90th day, use Claude thoughtfully to improve reconciliation analysis, audit support, documentation, or quality checks—while applying appropriate data safeguards. - By the end of your first year, become a trusted partner, strengthen controls and accounting processes across your areas, supporting accurate financial statements and statutory filings. - By the end of your first year, raise the bar on documentation and process quality so recurring work is easier to execute, review, and build on. SKILLS YOU'LL NEED TO BRING: - Working knowledge of core corporate accounting processes, including close activities, AP, and cash reconciliations; this is central to the role’s day-to-day work. - Foundational knowledge of U.S. GAAP and accrual accounting, with some familiarity with IFRS. - Experience in public accounting or audit, or in corporate accounting; candidates early in their careers, including new graduates with relevant experience, are welcome. - Ability to organize and track work across multiple international statutory audits with accuracy, clear follow-through, and attention to deadlines. - Curiosity to learn country-specific requirements as Notion expands. - Familiarity with NetSuite, Oracle, or a similar ERP is a plus; experience with BlackLine, tax, or close management is also helpful. - Demonstrated ability to build cross-functional partnerships and communicate clearly with stakeholders at all levels, including explaining fluctuations and their business drivers. - Ownership, sound judgment, and a continuous-improvement mindset: you look for ways to make the work more accurate, scalable, and easier for others to build on. 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 $105,000 - $125,000 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.

Bitdeer is looking for a staff quality engineer to investigate product-quality issues, lead resolutions, and implement preventive controls.

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role We're looking for an Engineer to lead the design and development of Vercel's Financial Data Platform, the foundational system that powers revenue reporting, consumption-based billing, financial forecasting, and compliance across the business. This is a unique opportunity to architect the data infrastructure that Finance, Accounting, and Revenue Operations depend on to close the books accurately, forecast revenue with confidence, and scale with the business. Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for Vercel's financial data ecosystem, partner closely with Finance, Accounting, and Revenue leadership to translate business and compliance requirements into scalable systems, and build reliable, auditable pipelines using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake. You'll lead from the front, writing production-grade code, setting the bar for data accuracy and governance in a domain where correctness isn't optional, and mentoring a team of engineers as the function grows. If you're excited by the challenge of building financial-grade data systems that the business trusts for reporting, forecasting, and audit, we'd love to hear from you. What You Will Do Design and implement a data platform that supports revenue recognition, consumption-based billing, and financial reporting across batch and real-time workloads, leveraging Kafka and streaming technologies to power real-time usage and billing pipelines feeding revenue and consumption forecasts. Work directly with FP&A, Accounting, and RevOps to understand reporting requirements, close-cycle timelines, and forecasting needs, translating them into technical architecture and ensuring data availability and accuracy align with financial reporting deadlines, audit cycles, and board-level reporting needs. Define and maintain guidelines for financial data ingestion, transformation, and storage, with a focus on auditability, lineage, and data integrity, while overseeing data modeling, ETL, and warehousing (ClickHouse, Tinybird, Snowflake) to support low-latency analytics and reliable historical reporting. Develop end-to-end solutions across the finance data stack, setting the example for engineering excellence in a high-accountability domain, and mentor engineers on both technical craft and the added rigor required when data feeds directly into financial statements. Partner with Security, Compliance, Legal, and Internal Audit to ensure financial data pipelines meet SOX, SOC 2, and other regulatory requirements, and champion high availability, fault tolerance, and auditability through comprehensive monitoring, alerting, and incident response. Drive architectural decisions and roadmap planning that balance efficiency, scalability, and the strict correctness requirements of financial systems, and evaluate build-vs-buy tradeoffs across financial and billing tooling (e.g., ERP, billing, and revenue platforms). Build the data infrastructure that translates raw usage into revenue, supporting the forecasting models Finance and GTM rely on for target-setting and reporting, and collaborate with data science and FP&A teams on forecasting, incrementality analysis, and revenue modeling at scale. Act as a key decision-maker for evaluating and selecting data architectures and technologies critical to Vercel's financial operations, and establish a multi-phase roadmap for finance data platform maturity aligned with company growth and audit readiness. About You 8+ years of experience in data engineering, analytics engineering, or a closely related field, with a track record of owning production data pipelines end-to-end. Proven track record designing and operating large-scale data infrastructures in a complex, fast-paced environment, with experience across Kafka and its ecosystem (e.g., Kafka Streams, Confluent Platform), ClickHouse, Tinybird, Snowflake, and broader big data frameworks. Prior experience building data pipelines that feed financial reporting, revenue recognition, billing, or consumption-based pricing models, with familiarity with financial/ERP systems (e.g., NetSuite, Workday) or billing platforms considered a strong plus. Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services. Strong background in data governance, security, and compliance, including direct experience supporting audit, SOX, or SOC 2 requirements, and a rigorous approach to data lineage and accuracy. Outstanding communication and collaboration skills, with the ability to translate financial and accounting requirements into technical architecture and influence both technical and non-technical stakeholders, including Finance and Audit leadership. A leadership mindset, with demonstrated ability to mentor teams, drive consensus, and advocate for best practices in high-accountability data environments. Industry recognition or notable contributions in data engineering (e.g., published works, open-source contributions) is a plus. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $264,000 - $396,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. About Grafana Labs: There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics). Description of Duties We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly. AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them. Key Responsibilities Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery. Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy. Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve. Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content. Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way. Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship. Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants. Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes. Mentor teammates and share practices that raise the quality of the team’s work. Requirements What experience would make someone be successful in this role? Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth. Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the ability to explain how you evaluate and verify their output. Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs. Comfort working in technical environments. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly). Experience collaborating with engineers and product managers to get accurate technical information. Experience working remotely and asynchronously on a distributed team. What you’ll bring to the role Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t. Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them. Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality. Ownership. You manage multiple projects and work well both independently and collaboratively. Clarity. You write concisely and plainly for readers of all experience levels. Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation. Equal Opportunity Employer At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. In Sweden the Base compensation range for this role is SEK 686,000 - 824,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

— Lead high-priority, cross-functional initiatives from strategy through execution.

Задачи: — Технически руководить Blue Team и развивать защиту данных, поиск угроз и реагирование на инциденты; — Управлять программами оценки уязвимостей и безопасности облачной инфраструктуры; — Автоматизировать защитные процессы и помогать продуктовым командам снижать риски; — Удалённая работа только из Северной Ирландии, участие в круглосуточной on-call ротации. Требования: — От 5 лет в Security Engineering, Security Operations или Security Architecture; — Опыт технического лидерства распределённых команд и соблюдения PCI-DSS; — Опыт расследования инцидентов, реагирования на атаки и устранения их последствий; — Знание ОС, сетей и приложений, укрепления Windows, macOS, Linux, контейнеров и Kubernetes.

Location: Toronto; San Francisco; Canada; United States; New York; Ottawa; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? We’re building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most driven, and most curious people to help us do it. As the head of the Data Foundation pillar of our Analytics and Data Insights team, you’ll lead the team that makes Cohere’s data trustworthy, governed, and available: the warehouse every analytics surface runs on, the pipelines that keep it fresh, the access model that keeps it secure, and the agentic analytics layer that lets anyone at Cohere (and their agents) ask questions of governed data directly. Your team owns the full data lifecycle. You’ll run ingestion into BigQuery from internal and external data sources, orchestrate it in Airflow and Cloud Run, model the data warehouse in dbt, and serve the results through Looker, export APIs, and customer-facing analytics surfaces. Everything is provisioned as code in Terraform, and governance is part of the design: VPC service controls, IAM patterns, and documented access paths that let people and agents move fast without putting data at risk. This role is both highly visible and highly impactful, and you’ll inherit a solid structure on which to build the rest of the stack: a Terraform-provisioned warehouse framework, dbt modeling conventions, an alerting and incident-response practice, and documentation patterns to keep everything discoverable. The roadmap is set with big bets in flight: scaling that framework across the company, standing up an internal analytics agent with a real eval harness, and consolidating institutional knowledge into a self-correcting and self-maintaining system that keeps context centralized, current, and documented, rather than dispersed and in people’s heads. Responsibilities As the head of the Data Foundation pillar, you will: - Build and lead the team. Hire and grow a team of data and infrastructure engineers; set the technical bar; develop strong talent and raise team performance, building leadership capability beneath you. - Set the roadmap from company strategy. Own and sequence the Data Foundation roadmap: the warehouse buildout, the agentic analytics program, data governance, and the platform work that unblocks our other pillars. You’ll make the trade-offs and carry the cross-functional impact that comes with them. - Own the data platform end to end. Ingestion (managed connectors and an open-source connector framework), orchestration on Airflow and Cloud Run, warehouse modeling in BigQuery with dbt (raw, core, mart layers), and serving through Looker, export APIs, and semantic layers. All of it provisioned as code in Terraform. - Own data governance. Define how humans, service accounts, and agents get access to governed data: VPC service controls, IAM patterns, documented onboarding paths, audit logs, and sensitive requests (including legal holds) handled to deadline. - Operate for reliability. Run the alerting and anomaly-detection framework, own data freshness SLAs, lead incident response and postmortems, and turn every incident into a durable standard so the same class of failure doesn’t recur. - Lead the agentic analytics program. Wire the semantic layer into an internal analytics agent, build the eval harness that measures its accuracy, and make the eval-driven call on where AI earns its way into production. Apply the same discipline to automating data engineering work itself. - Set the standard for analytics across the company. The medallion framework, naming conventions, and testing patterns your team maintains become the way other teams ship analytics data. You’ll onboard new domains onto it and keep the docs accurate to how the systems actually work. - Partner across the org. Work with the North product and engineering teams on the analytics surfaces that ship in the product (including a customer-facing analytics export), with Business Insights on marts for the business, with Security on data governance, and with Legal on compliance-critical data requests. QUALIFICATIONS You may be a good fit, if you have: - 10+ years of experience across data engineering, data infrastructure, or analytics platform work, with a strong management track record leading data platform or infrastructure teams - Serious hands-on history in data engineering or infrastructure before management. You can still read a Terraform plan, a dbt DAG, or an Airflow scheduler log and ask the question that matters - Production experience with cloud data warehouses (BigQuery, Snowflake, or similar), workflow orchestration (Airflow or similar), and infrastructure as code (Terraform or similar) - Depth in data modeling: you think in fact and dimension tables, raw/core/mart separation, and semantic layers, and you have opinions on where tests and contracts belong - A record of setting a team’s roadmap from company or function strategy and delivering outcomes that span teams, with the cross-functional partnerships to match - Operational excellence you can point to: alerting you trust, SLAs you meet, incidents you run to ground and write up so they teach - Exposure to data security and governance: IAM, access management, VPC service controls or equivalent, audit and compliance workflows - Genuine excitement about AI: you follow the research, have opinions, and are energized by building the data foundation an AI company (and its AI agents) runs on - Comfort operating in ambiguity, leading a multi-workstream roadmap, and working directly with executives on priorities If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! 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.

Cohere is looking for a Senior Staff Software Engineer Back End Inference to scale backend systems and lead core platform architecture.

Location: Remote About the Team: Netlify’s Data team helps the company understand and improve the full product-led growth journey, from activation and engagement through conversion, retention, and monetization. We partner closely with Product, Engineering, and Growth to uncover opportunities, evaluate investments, and understand what drives customer and business outcomes. We’re hiring a Senior Staff Data Scientist to deepen how data shapes our product and growth strategy. You’ll develop an end-to-end understanding of the PLG journey, proactively identify opportunities, and turn complex data into hypotheses, experiments, and recommendations that influence where we invest and what we build. This is a highly autonomous role for someone who can move from identifying an important question to shaping the approach, defining success, and driving toward an answer. What You'll Do: Own the analytical understanding of Netlify’s PLG performance across activation, engagement, conversion, monetization, and retention, identifying opportunities before they become requests Partner with Product and Engineering leadership to turn behavioral insights into product bets, defining what to test, how to measure it, and what the results mean Lead experimentation from hypothesis through decision, including study design, methodology, success metrics, guardrails, analysis, and recommendations Apply statistical rigor where it matters while recognizing when there is enough signal to make a decision and move forward, and help teams develop that same judgment Build scalable analytical systems like semantic models, trusted metrics, proactive monitoring, and AI-powered agents  that surface opportunities without waiting to be asked Use AI to investigate faster, automate recurring analytical work, and test more hypotheses without sacrificing the judgment that makes the output useful Identify gaps in measurement, event instrumentation, and metric definitions, and partner with Data and Product Engineering to close them Serve as a trusted analytical partner to PLG leadership, using evidence and product judgment to influence investment decisions and roadmap priorities Influence product strategy through evidence, product instincts, and a clear point of view, without relying on formal authority to do it What You'll Bring: 8+ years of experience in product analytics, growth analytics, or data science, with a track record of high ownership and measurable impact on PLG or consumer product outcomes Deep understanding of product and growth dynamics across activation, engagement, conversion, monetization, and retention Demonstrated ability to turn behavioral data into product hypotheses and carry them from insight through experimentation and measured outcomes Deep experimentation expertise: study design, statistical reasoning, causal inference, and the judgment to know when an experiment has told you what you need to know Experience building analytical systems such as metrics layers, monitoring frameworks, or semantic models that teams can rely on over time An AI-native approach to analysis: you use AI tools actively to accelerate investigation, automate repetitive work, and surface patterns faster A track record of influencing senior stakeholders and product direction through analytical reasoning, clear recommendations, and sound judgment Comfort operating with significant autonomy in ambiguous problem spaces, including determining which questions are most important to answer Strong written and verbal communication skills in distributed environments, with the ability to make complex findings clear and recommendations actionable This Role is a Great Fit If: You're energized by finding the opportunity before anyone thought to ask - proactive discovery is how you naturally work, not a mode you shift into You think like a product person who happens to be exceptionally rigorous with data, not a data person who occasionally weighs in on product You thrive when the problem isn't handed to you - you'd rather define the question worth asking than answer the one that landed in your queue You get excited about building systems that keep working after you've moved on to the next problem You're comfortable making a call with imperfect information and can articulate clearly why you made it You enjoy being a thought partner to senior leaders - shaping how they think about investment and opportunity, not just supporting decisions already made You work well in a remote-first, async environment where written clarity and self-direction matter more than proximity You're drawn to roles where the measure of success is outcomes, decisions made, bets tested, metrics moved, not volume of output produced Applying Not sure you meet 100% of our qualifications? Please apply anyway! When applying please include: A resume or short listing of your job history & skills (link to a LinkedIn profile would be fine). We appreciate a cover letter explaining why you would enjoy working in this role at Netlify to get to know you a bit better, though this is not required and will not impact your application. Our mission is to “build a better web” and that cannot be done without a diversity of skill sets, backgrounds and thoughts. Of everything we've ever built at Netlify, we are most proud of our team. Netlify is an Equal Opportunity Employer. We are devoted to building a team of people with diverse backgrounds and lifestyles. Driving equality empowers our team, enables us to innovate, and helps us maintain a more inclusive environment. We don’t discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences. If we can do anything to provide a better interview, i.e. accommodate a disability, then please let us know by emailing accommodations@netlify.com . About Netlify Netlify is the most popular way to build, deploy, and scale modern web applications, empowering everyone from fast moving solo developers to enterprise teams. Millions of developers and organizations rely on Netlify as their platform of choice for composing web applications that are production ready, performant, and flexible. Now, as we embrace the next era of software development, we are embedding the same fluid, intuitive experience into the Agent Experience (AX), making it just as simple for intelligent agents to understand, interact with, and act on our platform as it is for developers. Whether your user is human or machine, Netlify ensures the path from idea to URL is seamless, fast, and deeply reliable. We are a Series D company that has raised over $200M from investors such as Andreessen Horowitz, Kleiner Perkins, EQT, Bessemer, BOND, and Menlo Ventures. As a fully distributed company, we aim to create a company culture where the best idea can come from anywhere and strive to be thoughtful, compassionate, and collaborative in our work. If this sounds like something you’d like to be part of, we’re excited to connect with you! At Netlify, we are committed to a compensation philosophy that prioritizes fairness and equity, positions our employee compensation competitively in the market, recognizes and rewards performance, and takes a comprehensive approach to our rewards package. We anchor our compensation philosophy on a market-based approach, therefore salary ranges may differ depending on the labor cost in a particular location. The salary provided is in addition to robust benefits and participation in Netlify’s equity plan. Our hiring range for this role is targeted at $204,000 - $275,000 for most US-based locations.  Candidates outside the US or in premium markets should consult with their Talent Acquisition partner regarding location-based ranges, as they may be higher or lower than the average US range listed. The starting pay will be determined based on multiple factors, including expertise and skills, market demands, experience, internal equity, and applicable geographic location. These compensation packages and ranges are subject to change and may be modified in the future.

Location: Toronto; Canada; United States 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 THE ROLE. We’re building the next generation of agentic AI infrastructure at Cohere. This team sits at the intersection of ML systems, distributed infrastructure, and developer experience, creating the platform that powers autonomous AI agents at scale. You’ll work on hard, forward-looking problems with few established patterns, including secure code execution, agent state management, model routing, identity and authentication, and resource management for long-running agent workflows. This role is a strong fit for someone who combines systems depth with ML intuition. You should be comfortable building reliable infrastructure, thinking through distributed systems tradeoffs, and understanding how emerging agentic capabilities shape platform design. WHAT YOU’LL WORK ON. - Secure execution environments for agent-generated code - Identity, authentication, and trust boundaries for agents - Model routing and orchestration across different model types and environments - Rate limiting, quotas, and resource management for agent workflows - State management, memory, and filesystem abstractions for agents. IN THIS ROLE YOU WILL: - Turn emerging ML research ideas into production-ready infrastructure - Build core platform capabilities for execution, storage, and state management - Prototype and evaluate new technologies, then help decide what should move into production - Partner with research teams to shape infrastructure based on what future agent systems will need YOU MAY BE A GOOD FIT IF YOU HAVE: - Experience building production ML infrastructure with strong systems fundamentals - Hands-on work with agentic systems, multi-agent workflows, or agent development frameworks - Familiarity with model routing and LLM provider frameworks across different model types and environments - Experience with scalable, fault-tolerant distributed systems and Kubernetes - A track record of moving quickly on prototypes and making good decisions about productionization. BONUS - Experience across on-prem, private cloud, and public cloud environments - Familiarity with storage systems, embedded databases, or filesystem abstractions - Experience with code execution sandboxes such as gVisor, Firecracker, Kata, or WASM runtimes - Interest in emerging ML infrastructure, edge inference, or browser-native models - Open-source contributions to LLM or agent infrastructure projects - Experience with identity, workload auth, or capability-based security 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.