Вакансии

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Marketing Analytics Lead at Anthropic, you will own how we measure marketing. You'll build and run a single measurement framework that shows how marketing activity turns into pipeline, revenue, and product usage, and you'll make that framework something marketers and executives actually use to make decisions. As our marketing programs grow across enterprise and product-led motions, your work will determine whether we invest in what works. In this role, you'll own the marketing measurement framework end to end: the metric definitions, the data models behind them, the dashboards that surface them, and the insights they produce. This is a hands-on individual contributor role; data science and data engineering will support you, but you'll do the core work yourself. You'll partner closely with field marketing, partner marketing, campaign marketing, finance, sales strategy, sales development, data science, and data engineering to align on definitions and keep the whole organization working from one view of the funnel. Key responsibilities Own the marketing measurement framework that connects marketing activity to pipeline, revenue, and product usage Set the direction for the framework and extend it to programs it doesn't cover yet Define marketing metrics clearly and get cross-functional teams to agree on definitions early Build and maintain the data models that power marketing reporting Develop dashboards that marketers and executives rely on in their weekly reviews Teach marketers and executives how the metrics work, and keep teaching as the metrics evolve Lead adoption of the framework so that both marketing and executive teams use it as their shared source of truth Partner with finance, sales strategy, and sales development to connect marketing measurement to the broader revenue picture Find and share the insights nobody asked for, turning analysis into recommendations that change what we do Write analytical SQL on large datasets to answer questions about funnel performance and attribution Track framework gaps and data quality issues, and work with data engineering to resolve them Present findings to marketing leadership and executives in clear, decision-ready formats Minimum qualifications Have deep experience with marketing analytics, including lead funnels, attribution to enterprise pipeline, and product usage measurement Have designed metrics from scratch and know what makes a metric trusted and useful Can write analytical SQL on large datasets with confidence Have built data models in tools like dbt and dashboards that many people use daily Are comfortable setting direction without waiting for a plan to be handed to you Can turn vague questions into clear, measurable definitions Work well across functions and know how to get teams aligned on definitions before problems surface Enjoy teaching others how metrics work and helping non-technical audiences build data fluency Finish what you start, from first definition to adopted dashboard Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience building marketing measurement for both enterprise sales-led and product-led growth motions Familiarity with marketing attribution models and their practical tradeoffs Experience presenting metrics and insights directly to executives and shaping how leadership reviews performance A background in data science, analytics engineering, or marketing operations Experience working with CRM and marketing automation data, such as Salesforce and related tooling Experience standing up a measurement practice where one didn't exist before Familiarity with how finance and sales strategy teams think about pipeline and forecasting The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Massachusetts Workplace: Remote The Legal team at Chainalysis advises both internal and external stakeholders on the forefront of cryptocurrency and blockchain data analytics in a constantly evolving landscape. Our job is to ensure the company continues its rapid growth by employing sound and risk-based judgment to support operations around the company and influence a groundbreaking industry as it matures and becomes more widely adopted. As Employment and Compliance Counsel, you work within the Corporate Legal function to support our People team and other key stakeholders by advising the company on a broad array of global labor, employment, compliance, and other legal matters. In this role, you’ll: - Provide advice on a broad spectrum of global employment law issues, including employee relations, performance management, disciplinary matters, grievances, equity, compensation, benefits, contingent workers, employee classification, and global mobility - Prepare and negotiate various employment-related agreements, including employment agreements and severance agreements - Support and manage internal investigations into employee misconduct, violations of laws or policies, and employee disputes and litigation - Contribute to the development, implementation, and review of workplace and compliance policies, processes, and guidance - Develop company-wide training on various employment and compliance matters - Liaise with external counsel in the U.S. and other jurisdictions as required - Prioritize internal client satisfaction, while promoting scalable processes and procedures - Collaborate with other members of the Legal team and other teams with respect to the overall legal and compliance functions of the company, including ownership over employee compliance policies - Gain a solid understanding of Chainalysis’ risk appetite and provide commercially astute, risk-appropriate decisions - Develop a strong understanding of Chainalysis’ products, services and business model We’re looking for candidates who have: - A Juris Doctorate and 4-6 years of experience from a top-tier law firm and company in the SaaS, data services or technology industries - Member of a U.S. state bar in good standing - Expertise in U.S. and global employment law matters and an experience advising companies in a pragmatic and commercial manner - Excellent attention to detail, organizational skills, critical thinking skills, and judgment - Judgement to anticipate and mitigate risk, and to know when and how to escalate issues - Proven ability to own tasks and work independently, as well as collaborate with others across the company - An independent, patient, and thoughtful demeanor while being adept at managing shifting priorities in a demanding, fast-paced environment Nice to have experience: - Experience advising executives at high-growth technology companies - Familiarity with or an interest in the cryptocurrency and blockchain industry AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are seeking a Principal Product Cybersecurity Assurance Engineer with deep expertise in product security, threat modelling, and risk assurance for highly regulated electromechanical systems. In this role, you will lead the delivery of product cybersecurity across Humanoid's HMND 01 platform family — the Alpha Wheeled industrial robot and the Alpha Bipedal home robot — both powered by our KinetIQ VLM/VLA-based AI framework. Working alongside product, firmware, autonomy, and hardware teams as part of the Systems Engineering and Architecture Team, you will define and maintain the cybersecurity assurance strategy for all product security activities from first concept through post-market deployment. Security at Humanoid is an engineering discipline inseparable from functional safety and central to our mission of creating the world's most reliable, commercially scalable, and safe humanoid robots. To excel in this position, you must demonstrate the authority to influence security architecture decisions across complex, cross-functional programmes, the rigour to build defensible security cases for novel cyber-physical systems, and the leadership to grow and guide a cross team of security engineers operating at the frontier of robotics. WHAT YOU'LL DO - Team Leadership & Product Security Delivery - Lead and develop a cross-functional team of security engineers, maintaining accountability for the delivery of product security services within product teams throughout the HMND 01 development lifecycle. - Define product security requirements and advise development teams on suitable implementation standards, techniques, and toolchains for embedded and AI-enabled robotic systems. - Partner with cross-functional teams to develop security protocols, tools, and processes that keep HMND 01 technologies ahead of emerging threats — including attack surfaces specific to the KinetIQ AI inference pipeline and cloud-to-robot communication architecture. - Own and maintain key security artefacts for audit-ready cybersecurity documentation including Security Management Plans, Threat Analysis and Risk Assessment (TARA) reports, Risk Assessments, and Remediation Action Plans across both platforms. Security Assurance & Certification - Drive security assurance through the full product lifecycle, ensuring every HMND 01 design is robust, compliant, and resilient. Contribute to the continual improvement of security engineering capability across the organisation. - Ensure compliance with cybersecurity obligations under the EU Machinery Regulation 2023/1230 where cyber controls intersect with safety-critical functions and compliance to IEC 62443 (for industrial/OT product security), and the EU Cyber Resilience Act. - Provide independent Information Assurance (IA) reviews and risk assessments on complex, high-impact projects — with particular focus on cyber-physical systems where a digital compromise could result in physical harm to operators or end users. - Review and provide guidance on security risk assessments, risk mitigation plans, mitigation gap analysis, and security management documentation in support of system cybersecurity certification. Incident Response & Lifecycle Security - Establish and maintain a Product Security Incident Response (PSIR) process, encompassing coordinated vulnerability disclosure, patch deployment pipelines, and post-field incident analysis. - Define and oversee security monitoring requirements for deployed fleets, ensuring field data feeds back into risk files and security artefacts in line with post-market surveillance obligations. Commercial & Bid Support - Support the production of work package descriptions and cost estimates for product bids, services, and proposals that include product security scope. - Represent Humanoid's security posture in customer and partner engagements, including regulatory consultations and certification body interactions. WHAT WE'RE LOOKING FOR - Proven, hands-on experience with ISO 27001/27004/27005 and the NIST Risk Management Framework (RMF), applied to regulated hardware or embedded product programmes. - Experience owning a security risk management system for highly regulated, safety-critical products — with background drawn from automotive, commercial vehicle, or industrial automation environments. - Working knowledge of IEC 62443, with the ability to adapt ISO/SAE 21434 lifecycle methodologies to robotic or electromechanical product context. - Solid understanding of engineering development lifecycles and how the product cybersecurity specialism aligns with systems engineering, functional safety, and hardware/software co-development. - Ability to interpret Penetration Test reports and author Remediation Action Plans that address identified vulnerabilities in a structured, risk-prioritised manner. - Clear, structured communication skills — able to articulate complex security risk arguments to both technical engineers and executive stakeholders with equal confidence. Preferred: - Familiarity with Threat Analysis and Risk Assessment (TARA) or equivalent threat modelling methodologies (STRIDE, PASTA) applied to embedded or OT/IT convergent systems. - Understanding of secure-by-design principles for AI/ML-enabled systems, including securing inference pipelines, model integrity, and cloud-to-edge communication paths. - Exposure to CAN bus, Ethernet backbone, or wireless interface security in mobile, vehicular, or robotic systems. - Experience contributing to or establishing a Product Security Incident Response (PSIRT) process or coordinated vulnerability disclosure programme. - Knowledge of UL 4600, UL 3300, or ISO 13482 and an appreciation of how cybersecurity evidence integrates into safety case arguments. - Prior engagement with certification bodies (TUV, UL, BSI) or standards development organisations (ISO TC 184, IEC TC 65, SAE, IEEE RAS). WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Are you a curiosity driven technologist who can quickly understand how an AI system works, identify where it could be misused or fail, and help a team find a practical path forward? Sony Interactive Entertainment is seeking a Senior AI Security Risk Analyst to provide hands-on security support for AI systems, agents, workflows, tools, and integrations across SIE. Role Summary: In this role, you will operate at the intersection of modern AI technology, security risk, architecture, and enablement. You will conduct AI security reviews using SIE’s established security risk assessment methodology, policies, standards, and control expectations, adapting their application to AI-enabled and agentic systems and identifying where AI-specific guidance or controls are needed. You will coordinate risk-focused design and architecture input and translate AI-specific weaknesses into decision-ready recommendations and engineering actions. You will serve as an approachable security partner, working cross-functionally with teams across SIE’s business units and functions to support a diverse range of AI use cases, systems, and technologies. You will work especially closely with Responsible AI & Governance and coordinate expertise across Information Security teams and IT & Engineering organizations. This is a highly collaborative, fast-moving role for someone who enjoys working directly with teams, navigating ambiguity, and using AI tools themselves. You will be the primary hands-on practitioner in an emerging AI Security capability, partnering with the AI Security strategy lead and specialist teams across SIE. What you’ll be doing: Lead hands-on security risk reviews of AI use cases and systems from early design through launch readiness. Assess end-to-end designs to identify material security risks, control gaps, data lineage and classification, and operational concerns. Translate findings into practical, risk-based recommendations and partner with stakeholders to track resolution. Serve as a trusted security partner by providing early consultation, education, and reusable guidance. Coordinate with Responsible AI & Governance, relevant security and technical teams to deliver consistent, well-informed reviews. Use security tooling and discovery insights to identify emerging risks, engage owners, and support appropriate remediation. Document reviews and findings within SIE GRC systems. Improve AI security requirements, review practices, reference patterns, and supporting tools as technologies and risks evolve. Track portfolio trends, communicate significant risks and recurring gaps, and escalate matters requiring additional expertise or risk authority. What We’re Looking For: 6+ years of experience building, integrating, assessing, or securing technical systems, including significant recent hands-on work with generative AI. Strong working knowledge of modern AI application stacks and the ability to interrogate designs, trace data and system interactions, and identify meaningful security weaknesses. Sound understanding of security fundamentals - including identity, permissions, data protection, integrations, and monitoring – and ability to apply these to AI-enabled and agentic systems as well as mapping back to existing security policies and frameworks. A practical builder mindset, with experience using AI tools, APIs, cloud services, code, or automation to explore systems and improve workflows. Proven ability to build trust and influence across engineering, product, creative, business, and security teams. Familiarity and ability to stay current with emerging AI technologies, evolving security risks, AI risk frameworks, and industry trends. Strong communication, empathy, and sound judgment, with the creativity to challenge assumptions, navigate ambiguity, and build trust while operating independently in a fast-moving environment. Bachelor's degree or equivalent Desirable: Experience with AI red teaming, adversarial testing, threat modeling, or security evaluations of LLM and agentic systems. Experience with cloud-based AI platforms, third-party AI services, or enterprise security tooling. Experience in gaming, interactive entertainment, creator technology, or similarly innovative product environments. Experience reviewing complex technical designs and translating identified weaknesses into practical, prioritized recommendations that support timely delivery. Relevant certifications are desirable and may include GIAC AI Platform Security (GAIPS), CISSP, CRISC, IAPP AI Governance Professional (AIGP), CCSK, CCSP, or equivalent AI, cloud, or security credentials. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $167,500 — $251,300 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote Chartbeat Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization. Our mission is to help customers grow valuable media brands with their content. Join our diverse group of focused, hardworking professionals who are passionate about doing work that’s challenging and fun — and who strive to maintain a healthy work/life balance. Chartbeat Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization. The Solutions Consultant becomes an expert in the Tubular platform, demonstrating its value to media companies and brands. Working closely with Sales, Customer Success, Product, Engineering, and Marketing, the role translates prospect needs and KPIs into compelling value propositions, manages demos and trials against clear success criteria, and supports API opportunities. This is an individual contributor role within Solutions Consulting, applying team methodologies and developing expertise at the intersection of data, media and sales. Who We’re Looking For Become a Tubular Social Video platform and customer expert, demonstrating at both a granular and high level the value the software provides to prospects. Strategically craft effective and compelling value propositions that incorporate prospects’ KPIs to advance the buying process. Manage the prospect demo and trial process with assigned sales representatives, ensuring prospects reach clear success criteria and understand the value of the platform. Ask relevant probing questions to validate business issues and frame the Chartbeat solution around identified client needs. Lead the scoping, qualification and estimation of API opportunities in collaboration with Engineering and Sales, ensuring prospects understand integration requirements and timelines; seek senior or manager support where complexity requires it. Partner closely with Sales and Customer Success on active deals and accounts, supporting prospects and clients throughout the buying process and providing clear handoffs of requirements and agreed scope to Customer Success or implementation teams. Collaborate with Marketing and PMM to identify custom collateral and materials that strengthen the sales process and improve conversion. Work with Product and Engineering to channel customer-facing feedback into roadmap decisions and surface technical insights that improve the platform. Track demo and trial-related metrics to optimise the impact of Solutions Consulting on sales processes and contribute practical feedback to team improvements. Apply team methodologies and adopt and iterate on AI-assisted workflows to improve day-to-day work, sharing useful practices with the team. Requirements 2–4 years of experience in a client-facing role at a SaaS, media analytics or data vendor, ideally supporting media companies or brands. Experience in a complex B2B or enterprise sales environment is a strong plus. Strong understanding of the social video and branded content ecosystem, including how YouTube, TikTok and Instagram drive measurable business outcomes for media companies and brands. Ability to independently interpret data, identify trends and build clear narratives from raw numbers; solid understanding of media business models and how content performance data informs editorial and commercial decisions. Ability to communicate Chartbeat’s business value succinctly, work with key stakeholders to prove ROI, and learn the unique business needs of a broad spectrum of companies. Strong listening skills and the ability to translate prospect needs into specific use cases and platform functionality. Basic understanding of APIs and data integrations; confidence discussing technical requirements with technical and non-technical stakeholders. Comfort collaborating with sales personalities and thriving in a fast-paced startup environment. Comfort experimenting with AI tools and adopting and iterating on AI-assisted workflows. Business fluency in English and Spanish is preferred; proficiency in Portuguese is a plus. Demonstrated ability to manage multiple concurrent customer opportunities and structured technical evaluations or proof-of-concept engagements, maintaining clear success criteria, timelines and stakeholder follow-through. Confidence presenting to technical, commercial and executive audiences, adapting communication style and handling questions or objections effectively in live customer settings. Strong written communication skills, including the ability to contribute to RFI/RFP responses, solution documentation and customer technical due-diligence materials. Working knowledge of relevant competitors and adjacent platforms, with the ability to articulate Chartbeat differentiation accurately and constructively Compensation & Benefits Salary range: $90K-$115K Base + variable Comprehensive Health, Dental, and Vision Insurance 401K with company match (100% of the first 3% and 50% of the next 2%) Fully Paid Parental Leave - 18 weeks for birthing parents, 12 weeks for non-birthing parents Phone and internet stipend Wellness, learning, and coworking reimbursements Flexible work hours Unlimited PTO 11 paid holidays and December holiday closure Annual In-Person Event Diversity, Equity, and Inclusion Statement At Chartbeat we strive to create and continually grow as a company where all employees are able to be their authentic selves.  We are committed to recruiting, hiring, and retaining employees from different backgrounds, viewpoints, and experiences. Our strength is our diversity and we are dedicated to continuously reflect upon, and evolve our efforts to maintain  a diverse, equitable and inclusive ecosystem. Equal Opportunity Employment Statement Chartbeat is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. Chartbeat's CCPA disclosure notice can be found here .

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Engineering Manager Location: Remote US Compensation Range: $200,000 to $220,000 base plus bonus and equity What You’ll Do: Huntress is looking for a highly strategic and collaborative Staff Software Engineer to drive the technical vision and architectural evolution of the Huntress Core Platform. Our Core Platform contains the foundational components that power the entire Huntress product suite, including the notification system, onboarding, authentication, integrations, and APIs. While you will remain deeply hands-on developing the most complex features for the platform, your scope expands beyond standard delivery. You will act as the technical anchor for your team, solving our most complex scaling challenges and eliminating cross-team dependencies. You will design the systems that empower all other engineering teams to build faster and more securely, acting as a technical thought leader who ensures our architecture anticipates future growth as we scale to protect the 99% . Responsibilities: Design, implement and mentor engineers on the most complex features the team builds Partner directly with the Engineering Manager to steer the team’s technical direction, improve overall team function, and set the standard for engineering excellence Take ownership of cross-team dependencies, actively collaborating with multiple engineering teams to eliminate roadblocks and ensure smooth feature delivery. Drive the Architectural Decision Record (ADR) process for major technical changes that impact the wider codebase or require alignment across multiple functions Focus on the entire lifecycle of the system, including evolution, configuration and technical risk management Mentor and coach engineers across the team, acting as a positive role model who promotes collaboration and engagement What You Bring To The Team: 10+ years of experience developing complex software products, with a proven track record of acting as the senior technical anchor for a team 5+ years of programming in Ruby on Rails, ideally with experience managing and scaling large monoliths Strong architectural experience, including a history of driving technical design decisions (ADRs) and managing system lifecycles, configuration and technical risk Experience with AWS or other public cloud environments, Linux-based infrastructure and advanced database management at scale Excellent technical, diagnostic, and troubleshooting skills Ability to grasp new tools and technologies quickly Ability to prioritize and execute multiple tasks at a time in a fast-paced environment, often operating independently Demonstrated ability to take highly ambiguous requirements or multi-team initiatives and decompose them into actionable work for the team Exceptional communication skills, with the ability to build strong relationships and coordinate smoothly across multiple teams, product managers, and leadership Experience partnering directly with Engineering Managers or Product Leaders to set team-level technical strategy and balance tech debt with product delivery Experience with AI coding tools and workflows, with the ability to help the wider team adopt them effectively, responsibly, and pragmatically What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: San Francisco; New York ABOUT THE TEAM OpenAI Academy is an AI literacy initiative dedicated to ensuring the benefits of AI are widely shared. Our programs help individuals and organizations build AI fluency, explore real-world applications, and use AI responsibly to solve problems. Academy delivers in-person and virtual learning experiences in partnership with mission-aligned organizations. We create hands-on, accessible programs for audiences with different goals, contexts, and levels of experience. To date, over 4 million people worldwide have engaged with our content online, and thousands have attended our in-person events. ABOUT THE ROLE We’re seeking an experienced, highly self directed Learning Designer & Content Developer to create and test AI training for OpenAI Academy’s in-person and virtual programs. You’ll work with Academy leads and subject-matter experts to produce training packages from agreed-upon briefs, incorporate feedback, and meet delivery timelines. OpenAI will set program priorities and retain final approval of curriculum, content, and delivery standards. This is a contractor position. IN THIS ROLE, YOU WILL: Learning Design & Content Development - Personally develop complete training packages, including polished, brand-aligned slide decks; speaker notes and concise live facilitation cues; demonstration scripts and prompts; realistic sample files; participant exercises and handouts; and facilitator preparation materials. - Design practical learning experiences for virtual and in-person delivery, with clear learning objectives, realistic timing, transitions, prompts, participant practice, and fallback plans. - Adapt examples, language, pacing, setup instructions, and practice activities to participants’ roles, goals, digital confidence, and AI experience. Design clear support for beginners and meaningful extensions for experienced participants, with useful outcomes learners can apply to their own lives or work. - Work with subject-matter experts and Academy leads to turn complex product and policy concepts into clear, accurate, and usable instruction. Curriculum Development & Maintenance - Create reusable templates and document agreed design standards and production practices. Keep source materials organized, current, and clearly versioned so facilitators and partners can find approved materials. - Develop agreed training packages from initial brief through review, rehearsal, final handoff, and subsequent updates. Keep slides, guides, prompts, exercises, and supporting assets aligned as the training evolves. - Keep assigned training materials up to date as product capabilities, interfaces, and access requirements change. Update affected slides, prompts, demos, exercises, and facilitator guides, and retest workflows before delivery. Facilitation & Trainer Support - Pilot new trainings, lead rehearsals, and facilitate selected sessions to test materials and model effective delivery. - Develop materials and support pilots to extend and improve Academy’s existing facilitator training pathway under the Academy team’s direction. - Prepare and coach Academy and partner facilitators to use the materials through rehearsal and feedback, following OpenAI-approved guidance on accuracy, inclusion, safety, and participant experience. Instructional Quality & Continuous Improvement - Create lightweight learning-assessment and participant-feedback approaches that reveal whether programs are understandable, relevant, and actionable. - Use rehearsal findings and participant and facilitator feedback to recommend and implement revisions to materials and delivery guidance. - Build and rehearse demonstrations in the intended delivery environment. Verify prompts, outputs, timing, account and feature requirements, and screen readability; prepare realistic sample data, setup and reset instructions, and fallback outputs where needed. Cross-Functional Collaboration - Work closely with Academy program leads, trainers, subject-matter experts, and relevant Global Affairs, Product, Customer Education, Communications, and partner teams. - Coordinate reviews at agreed milestones, resolve content and usability issues, and submit materials for OpenAI’s final approval. WHAT SUCCESS LOOKS LIKE - Complete, tested training packages are delivered on schedule, meet Academy’s requirements, and enable facilitators to run engaging sessions without extensive clarification or undocumented knowledge. - Participants can complete the intended activities and apply what they learned; audience adaptations reflect their needs while preserving the agreed learning objectives. - Academy leads can delegate training development from an agreed brief, with focused review at key milestones and final approval by OpenAI. - Rehearsal observations and participant and facilitator feedback lead to specific improvements, and materials remain current as products and audience needs change. WE’RE LOOKING FOR - Demonstrated experience in learning design, instructional design, adult learning, customer education, educator development, or a closely related field. - A portfolio of complete training programs you personally designed and produced, including presentation materials, facilitator guidance, practical exercises, and demonstrations. Be prepared to explain your contribution, what changed after testing, and how other facilitators used the materials. - Strong live facilitation skills and the ability to rehearse and deliver practical learning sessions for audiences with different levels of experience, confidence, and familiarity with AI. - Strong hands-on proficiency with ChatGPT and AI-assisted workflows, including the ability to independently build, troubleshoot, and explain practical demonstrations for nontechnical audiences. - Strong writing, editing, and slide-development skills: you make complex material clear, accurate, and actionable, and create polished, accessible materials that follow brand guidelines. - Experience verifying product claims and updating instructional materials as capabilities, interfaces, and access requirements change. - Experience managing content versions, incorporating stakeholder feedback, and delivering multiple training projects against agreed briefs and timelines. - Sound judgment, attention to detail, and comfort operating in a fast-moving environment with evolving priorities. - A commitment to accessible, inclusive learning and enthusiasm for OpenAI Academy’s mission. PREFERRED EXPERIENCE - Designing AI literacy, digital-skills, workforce, public-interest, or technology-learning programs. - Adapting learning experiences for different communities, sectors, languages, or cultural contexts. - Coaching facilitators, developing train-the-trainer resources, or supporting delivery through partners at scale. - Using lightweight assessment, field observation, or performance evidence to improve instruction. POTENTIAL EXPANSION AREAS Additional work may be agreed upon with Academy leads based on program needs and contractor capacity, including: - Translation and localization systems for Academy materials. - Support for facilitator assessments, field observation, and quality sampling using OpenAI-approved readiness criteria, with qualification decisions retained by OpenAI. - Additional learning-assessment tools and impact-measurement support.

Location: Remote, Canada; Remote, United Kingdom; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the Role We are looking for a Distinguished Engineer to lead technical direction across GitLab's Core DevOps services, the systems the majority of our users touch every day. Distinguished Engineers are recognized experts across multiple technology domains and represent the most senior level of technical leadership within and across divisions at the company. Core DevOps builds continuous Integration, continuous deployment, planning, and source control experiences. These are among the most mature, highest traffic, and most deeply interconnected systems at GitLab. They carry years of accumulated architectural decisions, they sit in the critical path of our customers' own delivery pipelines, and they are being reshaped by the shift toward AI native development. The job is to raise their quality, converge them onto a coherent go-forward architecture, and retire accumulated risk, all without interrupting the millions of users and Fortune 100 organizations who depend on them. GitLab is pursuing a set of company-wide engineering goals: large gains in developer productivity, measurably higher quality in what we ship, and engineering practices reshaped around AI and agentic workflows. Core DevOps is where much of that strategy has to land, because these are the services our own engineers and our customers depend on daily. In this role you will bring that strategy into Core DevOps in a form that works for long lived production systems, and carry what you learn here back out to the rest of engineering. What You'll Do Set and continuously refine the go forward technical direction for CI, CD, Plan, and source code experiences, aligned against the horizontal architectural initiatives. Work directly with the VP of Engineering as her technical counterpart on planning, technical investment, and where the group's engineering effort should go. Translate GitLab's company-wide productivity, quality, and AI native engineering goals into concrete technical direction for Core DevOps, and turn into iterable roadmaps, partnering broadly across the org. Define what good means in measurable terms for these services, including availability, latency at p95 and p99, pipeline success rate, test reliability, data correctness, and defect escape rate, then hold designs and implementations to it. Maintain a clear and current picture of systemic technical risk across the group, including single points of failure, unowned critical paths, brittle coupling between CI/CD and Plan, scaling limits, and past decisions that now constrain the roadmap. Drive a prioritized plan to retire it. Lead the hardest design decisions hands on, writing code, prototypes, and proofs of concept where a design argument needs evidence behind it. Drive convergence on shared patterns, libraries, and paved paths, reducing how many different ways the same problem gets solved across the group. Design migration paths that let large, long lived systems change underneath users without breaking them, using incremental cutover, dual run, measurable rollback, and deprecation with clear timelines. Adopt the platform capabilities coming from GitLab's AI organization and the company's productivity initiatives into Core DevOps, feed this group's requirements back into them, and help prove what works on systems of this scale and maturity. Serve as the escalation point for complex or contested technical decisions across the group, including those where no single team owns the outcome. Review significant designs and merge requests in the group's critical paths, and use review to teach rather than only to gate. Ensure designs hold across GitLab.com, GitLab Dedicated, and Self-Managed deployments, and respect multi-tenant, compliance, and data governance boundaries in each. Partner with Infrastructure, Security, and SRE so Core DevOps services are observable and debuggable, and so failure modes degrade gracefully instead of cascading. Make architectural constraints and opportunities clear to Product in roadmap terms, so that technical investment and product ambition get planned together instead of traded off late. Write clear, opinionated design documents, architecture narratives, and decision records that let teams across the group make aligned decisions independently. Grow Principal and Staff Engineers across Core DevOps, raise the bar on design rigor and technical writing, and contribute to the technical hiring bar for senior individual contributors. Participate in the Incident Management on-call rotation to help meet availability goals for GitLab.com, and complete Interview Training to participate in hiring as a technical interviewer or panel member. What You'll Bring 10+ years of software engineering experience, including 4+ years in a Staff, Principal, or equivalent senior technical leadership role. Deep expertise in AI and ML systems, including large language models, agentic frameworks, and autonomous workflow design at production scale. Proven track record of leading hands-on technical experimentation, including defining evaluation frameworks, running benchmarks, and translating findings into scalable architecture decisions. Strong background in scalable, multi-tenant distributed systems, including service decomposition, fault tolerance, observability, and operational resilience. Experience designing and implementing human-in-the-loop controls, safety guardrails, and responsible AI practices for production systems. Experience mentoring senior engineers and influencing technical direction across multiple teams or divisions without direct authority. Ability to work effectively in a fully remote, globally distributed organization with excellent written and asynchronous communication skills. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $250,000 — $349,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We're looking for a Data Analyst, Regulatory Analytics and Reporting to join our team remotely! The #1 goal of this role is to turn complex compliance and regulatory data into clear, actionable insights that protect the business, satisfy regulators, and support senior leadership in making high-stakes decisions. You'll work at the intersection of data engineering, regulatory reporting, and compliance operations in a fast-paced, high-scrutiny environment where accuracy and audit-readiness are non-negotiable. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with deep knowledge of compliance regulations and frameworks. You'll own end-to-end data management from building and maintaining datasets and pipelines to designing dashboards and insights for compliance and leadership teams. You will also automate compliance processes and workflows to boost efficiency and minimize human error. If you combine exceptional data analysis expertise with solid knowledge of compliance regulations, a keen eye for regulatory risk, and the drive to shape the future of crypto with a top-tier brand - this is your next mission!   THE OPPORTUNITY - Own the design of dashboards, compliance metrics, and regulatory reports, turning data into actionable insights for stakeholders, cross-functional partners, and regional compliance officers - Automate end to end compliance related data solutions, governance controls, and automations to boost efficiency and minimize manual intervention - Dive into large, complex datasets to turn findings into scalable, audit-ready data models that facilitate regulatory reporting and analytics - Translate regulatory and business requests into accurate reports and automated data pipelines using Python, SQL, DBT and Airflow - Lead cross-functional projects with analysts, engineers, and compliance teams to build and maintain high-quality data pipelines and sources - Coordinate client data quality monitoring by identifying issues, flagging remediations, and partnering with responsible teams to ensure timely resolution - Support ad-hoc data requests for audits, exams, risk assessments, and day-to-day business needs - Deliver insights that shape compliance direction through clear, data-driven storytelling   WHAT YOU BRING - 5+ years of experience in data analysis and data management within financial services or a regulated industry, with hands-on experience in compliance and regulatory reporting across frameworks such as AML, KYC, Sanctions, MiCA, or MiFID - Solid understanding of regulatory risk and the ability to operate effectively in high-scrutiny, audit-ready environments - Expert SQL skills including complex joins, CTEs, and analytical functions, paired with proficiency in Python libraries such as pandas, matplotlib, and plotly - Hands-on experience using dbt or similar tooling to model and organize high fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of data workflow orchestration - Proficiency with BI and data visualization tools such as QuickSight, Power BI, or Superset to build executive-facing dashboards - Strong communicator who can simplify complex data ideas for both technical and non-technical audiences - Alignment with the values outlined in Kraken's Tentaclements document   NICE TO HAVES - Degree in Mathematics, Statistics, Finance, Information Systems, or a related technical field - Passion for continuous learning and approaching problems with a beginner's mindset - Solid understanding of the cryptocurrency space and how financial markets function Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker's Product-Led Growth (PLG) team owns turning product usage into revenue across the full Platform: the Container business (Docker Desktop, Docker Hub, Docker Build Cloud, Docker Scout) and the AI business (Sandboxes, AI Governance, Model Runner, MCP Toolkit, MCP Catalog). Lifecycle marketing is one of the fastest-scaling parts of that team: it already owns user and admin nurtures, renewal automation, and first-touch outreach for PQLs and inbound leads, running against a marketable base in the tens of millions. As Senior Lifecycle Marketer, you'll report directly to the VP of PLG and partner closely with our existing lifecycle marketing lead. You'll take ownership of assigned products, audiences, and lifecycle stages, with real input into shaping the approach for what you own, not just shipping someone else's plan, and you'll help turn a fast-growing list of priorities into a structured, scalable lifecycle engine. _______________________________________________________________________ WHAT MAKES SOMEONE SUCCESSFUL IN THIS ROLE - Lifecycle Fluency: You think in full user journeys, not campaigns. You've done lifecycle marketing specifically, not just growth or demand gen, and you know how nurture, activation, retention, and renewal connect across a product's full lifecycle. - Builder's Mindset: You'd rather own a program end to end, strategy, build, QA, and send, than hand pieces of it off. You bring structure to ambiguity: turning a fast-growing list of priorities into themes, a build queue, and a sequenced roadmap. - Audience & Signal Validation: You know how to validate an audience and its underlying signal before it ships: spot-checking record-level data, sanity-checking targeting logic, and catching a bad segment before it reaches users. You don't need to write SQL yourself, but you can work directly with data teams to confirm a list is right. - Cross-Functional Operator: You operate well across marketing, sales (BDR and renewals), data, and design/agency partners, and you know how to keep programs moving even when you don't own every dependency. - Marketing Automation Execution: You've personally built campaigns in Marketo or an equivalent platform, not just briefed them: audience builds, suppressions and contact governance, pre-send QA and live proofs, and launch monitoring, including troubleshooting a broken data sync in the moment. - Technical Translation: You can take a technical product or a raw usage signal, a feature adoption event, a usage threshold, a new capability, and turn it into messaging that reads credible to a developer or admin, not generic marketing copy. _______________________________________________________________________ RESPONSIBILITIES - Build the Lifecycle Engine: Own and build lifecycle campaigns (email and in-product messaging) across Docker's Container and AI Platform products, including Sandboxes and AI Governance, for both end users and admins. - Scale Programmatic Sends: Design and run large-scale programmatic sends, such as recurring account health checks, to a base in the tens of millions, working within the team's marketing automation stack (currently Marketo and Mailgun; expect a platform transition in the next 6–12 months). - Automate Lead and Renewal Motions: Stand up and run automated first-touch flows for PQLs and inbound leads, in partnership with BDR and renewals stakeholders. - Validate Audiences & Signals: Partner with data and growth engineering to pull the usage signals campaigns depend on (Snowflake and internal data tools), and validate that an audience and its underlying signal are correct before every send. - Manage Suppressions & Contact Governance: Own suppression lists and contact governance rules so campaigns stay compliant and don't over-message or reach the wrong audience. - QA, Launch Monitoring & Troubleshooting: Run pre-send QA and live proofs on every campaign, monitor launches as they go out, and troubleshoot issues in real time, including broken data syncs. - Translate Signals into Messaging: Turn technical product usage and adoption signals into messaging that reads credible and useful to developers and admins, not generic marketing copy. - Shape and Sequence Strategy: Take a fast-growing list of priorities and turn it into a concrete build queue: itemize the work, sequence it, and flag capacity or dependency issues early. - Coordinate Design & Agency Partners: Work with design and agency partners to keep campaign quality and turnaround on track. - Operationalize Reporting: Own naming, tracking, and reporting on programs so the rest of the team has visibility into what's live, what's next, and what it's driving. _______________________________________________________________________ QUALIFICATIONS - Lifecycle Marketing Experience: A background specifically in lifecycle marketing, not pure growth or demand gen, ideally inside a PLG or self-serve motion. - Proven Program Ownership: A track record of owning campaigns end to end (strategy, build, QA, send) and shipping programs that moved a real metric: activation, retention, or renewal conversion. - Marketing Automation Build Experience: Hands-on build experience in Marketo or an equivalent marketing automation platform: audience builds, program/campaign setup, suppressions and contact governance, pre-send QA and live proofs, and launch monitoring. - Data & Targeting Validation: Comfortable working directly with data teams to validate record-level data and targeting logic, for example auditing who's actually in a segment or spot-checking a list against expectations. Writing SQL yourself is a plus, not a requirement. - Technical-to-Message Translation: A track record of turning a technical product or a raw usage signal into messaging that reads credible to a developer or admin audience, not generic marketing copy. - Technical Familiarity: Comfort navigating developer ecosystems, cloud infrastructure, or complex multi-product software platforms. - Independent Ownership: Senior-level judgment and ownership as an individual contributor: you can run with ambiguity and drive a program without every step spelled out, and you collaborate well with another senior peer on the team. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Immerse & Align: Get up to speed on Docker's PLG motion, product surface area (Container and AI), and the programs lifecycle already owns. Build a working relationship with data, BDR, renewals, and design/agency partners. - Program & Tooling Audit: Audit the current state of user and admin nurtures, renewal automation, and PQL/lead outreach, and get familiar with the Marketo/Mailgun stack and its upcoming transition. - Roadmap Calibration: Work with the lifecycle team to turn the current priority list into themes, a build queue, and a sequenced roadmap. FIRST 90 DAYS - Ship Owned Campaigns: Take ownership of at least one full program, such as an admin nurture flow or a PQL first-touch sequence, from build through send. - Contribute to Renewal Automation: Stand up a first version of automated renewal outreach in partnership with the renewals team. - Build the Reporting Cadence: Put in place naming, tracking, and reporting so the team has clear visibility into what's live and what it's driving. ONE YEAR OUTLOOK - Own a Mature Program Set: Own a mature, scaled set of lifecycle programs across your assigned products, audiences, and lifecycle stages. - Prove Impact: Show measurable lift in activation, retention, or renewal conversion tied directly to your programs. - Scale the Function: Help lifecycle marketing operate as a predictable, automated engine rather than a set of one-off campaigns, as scope keeps expanding across the Platform. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$160,300– CA$229,000 base United States: $115,500 – $165,000 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: United Kingdom; Brazil; Ireland; Cyprus; Portugal; Lithuania; Czech Republic; Canada; Poland Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We're looking for a Data Analyst, Regulatory Analytics and Reporting to join our team remotely! The #1 goal of this role is to turn complex compliance and regulatory data into clear, actionable insights that protect the business, satisfy regulators, and support senior leadership in making high-stakes decisions. You'll work at the intersection of data engineering, regulatory reporting, and compliance operations in a fast-paced, high-scrutiny environment where accuracy and audit-readiness are non-negotiable. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with deep knowledge of compliance regulations and frameworks. You'll own end-to-end data management from building and maintaining datasets and pipelines to designing dashboards and insights for compliance and leadership teams. You will also automate compliance processes and workflows to boost efficiency and minimize human error. If you combine exceptional data analysis expertise with solid knowledge of compliance regulations, a keen eye for regulatory risk, and the drive to shape the future of crypto with a top-tier brand - this is your next mission!   THE OPPORTUNITY - Own the design of dashboards, compliance metrics, and regulatory reports, turning data into actionable insights for stakeholders, cross-functional partners, and regional compliance officers - Automate end to end compliance related data solutions, governance controls, and automations to boost efficiency and minimize manual intervention - Dive into large, complex datasets to turn findings into scalable, audit-ready data models that facilitate regulatory reporting and analytics - Translate regulatory and business requests into accurate reports and automated data pipelines using Python, SQL, DBT and Airflow - Lead cross-functional projects with analysts, engineers, and compliance teams to build and maintain high-quality data pipelines and sources - Coordinate client data quality monitoring by identifying issues, flagging remediations, and partnering with responsible teams to ensure timely resolution - Support ad-hoc data requests for audits, exams, risk assessments, and day-to-day business needs - Deliver insights that shape compliance direction through clear, data-driven storytelling   WHAT YOU BRING - 5+ years of experience in data analysis and data management within financial services or a regulated industry, with hands-on experience in compliance and regulatory reporting across frameworks such as AML, KYC, Sanctions, MiCA, or MiFID - Solid understanding of regulatory risk and the ability to operate effectively in high-scrutiny, audit-ready environments - Expert SQL skills including complex joins, CTEs, and analytical functions, paired with proficiency in Python libraries such as pandas, matplotlib, and plotly - Hands-on experience using dbt or similar tooling to model and organize high fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of data workflow orchestration - Proficiency with BI and data visualization tools such as QuickSight, Power BI, or Superset to build executive-facing dashboards - Strong communicator who can simplify complex data ideas for both technical and non-technical audiences - Alignment with the values outlined in Kraken's Tentaclements document   NICE TO HAVES - Degree in Mathematics, Statistics, Finance, Information Systems, or a related technical field - Passion for continuous learning and approaching problems with a beginner's mindset - Solid understanding of the cryptocurrency space and how financial markets function Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Poland | Ukraine 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job 20 hours per week | 25EUR per hour We’re looking for a Video Editor to turn existing UGC footage into compelling video assets for TikTok and Snapchat. Working with Creative Producers and User Acquisition (UA), you’ll edit and optimise content for organic and paid campaigns, with a particular focus on capturing attention in the first three seconds. This is a hands-on role for someone who enjoys moving quickly, testing ideas, and using performance insights to make each creative stronger. What you’ll do Edit UGC footage into short-form videos tailored to TikTok and Snapchat. Create strong opening hooks, using transitions, typography, and motion graphics where they improve the creative. Work with Creative Producers and UA to test variations, build on winning concepts, and improve assets that underperform. Deliver a high volume of quality assets with fast turnaround times. Adapt and localise videos for different markets while following brand guidelines. Keep up with platform trends and native formats. Explore AI tools to make production workflows more effective. What success looks like Videos that capture attention quickly and contribute to UA performance. Consistent, high-quality output at speed. Fast, thoughtful iteration based on creative performance. What you’ll bring 5+ years of experience in motion design or video editing. A portfolio showing strong motion work and design fundamentals, including composition, typography, and visual hierarchy. Experience creating short-form UGC content with a TikTok-first approach. Advanced skills in After Effects and Adobe Creative Suite, plus experience with Figma. An understanding of performance marketing metrics such as CTR, conversion, and retention. The ability to manage high-volume production in a fast-paced environment. Experience using AI tools such as Runway, Sora, Midjourney, or ChatGPT. Fluent English and strong communication skills. Nice to have: Experience mentoring motion designers, localising content, building video automation workflows, or working with 3D and advanced motion techniques. #LI-DL1 #LI-Remote How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As a Humanoid Robot AI Data Collector, you will teleoperate humanoid robots and follow well-defined procedures to generate high-quality datasets used for training advanced AI models. You will work hands-on with physical robots using on-site tools and interfaces—such as the Universal Manipulator Interface (UMI)—to execute structured tasks and capture precise data. A significant part of the role involves annotation and labeling, requiring strong focus, accuracy, and pride in craftsmanship. This role is for individuals who thrive in a fast-moving, team-oriented environment; who take ownership, communicate openly, and embrace continuous learning. No technical background or formal education is required; full training is provided. This is a fully on-site role, working hands-on with robots and on-site systems such as UMI, and may involve periods of standing, regular movement, and interaction with physical hardware. This position is a permanent night shift, with working hours of 10:30 pm - 6:30 am, and may require occasional travel in line with business needs. WHAT YOU'LL DO - Teleoperate humanoid robots with consistency, precision, and a strong sense of ownership over data quality. - Perform on-site data collection using tools such as the Universal Manipulator Interface (UMI). - Capture and organise multimodal data (e.g., video, motion trajectories, task logs) with high accuracy and attention to detail. - Annotate and label data following strict guidelines, treating the work as a high-skill technical discipline. - Identify anomalies or issues proactively and escalate or solve them at the lowest responsible level. - Suggest improvements to workflows, processes, or tools—everyone contributes to process design. - Maintain clear, transparent documentation of progress and dataset quality. - Move with urgency and focus, ensuring timelines and daily goals are met. - Communicate openly with team members, sharing feedback and observations across functions. - Collaborate respectfully and positively with teammates, helping create a supportive and high-performing culture. WE'RE LOOKING FOR: - No formal technical education required — full training will be provided. - Comfortable using computers and digital interfaces. - Exceptional attention to detail and ability to follow precise instructions. - Strong time management, urgency, and reliability in meeting daily/weekly targets. - Ability to maintain focus and high-quality output during repetitive tasks. - Proactive mindset — willingness to take initiative without waiting for direction. - Clear, transparent communication skills for reporting findings and collaborating with the team. - Commitment to iterative learning, continuous feedback, and constant improvement. - Interest in robotics, AI, or emerging technologies is welcome but not required. WHAT WE OFFER: - 30+ days time off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Задачи: — Design, build, and maintain data infrastructure and pipelines spanning both batch and real-time / streaming workloads, contributing to architectural decisions along the way — Build and maintain scalable, efficient, and reliable ETL/ELT pipelines using languages and frameworks such as Python, SQL, Spark, Flink, Beam, or equivalents — Work on real-time or near-real-time data solutions (e.g. CDC, streaming, micro-batch) for use cases that require timely data — Partner with data scientists, ML engineers, analysts, and product teams to understand data requirements, define SLAs, and deliver coherent data products that others can self-serve — Establish data quality, validation, observability, and monitoring frameworks (data auditing, alerting, anomaly detection, data lineage) — Investigate and resolve complex production issues: root cause analysis, performance bottlenecks, data integrity, fault tolerance — Document data flows, data dictionaries, architecture patterns, and operational runbooks Требования: — 5+ years of experience in data engineering (or similar) roles — Strong experience in ETL/ELT pipeline design, implementation, and optimization — Deep expertise in Python and SQL writing production-quality, maintainable, testable code — Experience with large-scale data warehouses (e.g. Databricks, BigQuery, Snowflake) — Solid grounding in software engineering fundamentals, data structures, and systems thinking — Hands-on experience in data modeling (dimensional modeling, normalization, schema design) — Experience building systems with real-time or streaming data (e.g. Kafka, Kinesis, Flink, Spark Streaming), and familiarity with CDC frameworks — Experience with orchestration / workflow frameworks (e.g. Airflow) — Familiarity with data governance, lineage, metadata, cataloging, and data quality practices

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Design at Anthropic sits at the intersection of craft, research, and product intuition. We're a small team working on products that millions of people use daily—and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real-time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We're looking for designers who ship fast and stay in motion—people who would rather get something in front of users this week than perfect it for a month. You're excited to question fundamental UI assumptions and invent patterns that feel native to AI, and you're already using tools like Claude Code to extend what you can build. You pay attention to where model capabilities are heading, not just what Claude can do today, and you find ways to keep caring about the pixels, the copy, and the edge cases while shipping quickly. Key responsibilities Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps, and play an active role in shipping. Understand the technical architecture of our products and define primitives for new capabilities. Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology Comfortable in code, design, prototypes, and learning new ways to communicate ideas and concepts Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment Minimum qualifications Experience designing and shipping complex workflows, enterprise/B2B SaaS, developer tools, or API products end-to-end Proven track record of executing end-to-end on large and complex products, or a series of products, in ambiguous environments A portfolio demonstrating user-centered design thinking and polished UI craftsmanship Proficiency with modern design and prototyping tools, such as Figma Experience using AI tools such as Claude Code as a creative partner in your own design practice Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority Preferred qualifications Experience prototyping with front-end code (e.g., HTML/CSS/JS) Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Berlin Workplace: Hybrid OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. YOUR CHALLENGE At Taxfix, we have democratized tax filing for millions of people. Now, we are building our next major growth engines. As an Entrepreneur in Residence, you will work directly with our C-level leadership and Management Team to identify, validate, and build new business opportunities. You will take ideas from zero to one and help scale proven businesses from one to one hundred. This role is designed for an ambitious recent graduate or early-career strategy consultant who wants to move from advising businesses to building them. You will operate with high autonomy, turn ambiguous opportunities into clear choices, and help launch ventures that can become meaningful parts of Taxfix’s future. YOUR TEAM You will join our New Ventures function and work closely with Taxfix’s C-level leadership and Management Team. Depending on the opportunity, you will collaborate with colleagues across Product, Commercial, Operations, Finance, Legal, and Tax. You will bring the right people together, create clarity in uncertain situations, and drive initiatives from the first hypothesis through validation, launch, and scale. YOUR RESPONSIBILITIES - Identify attractive customer problems and market opportunities through research, customer interviews, competitor analysis, and rapid experimentation. - Design and run tests to validate customer demand, willingness to pay, commercial viability, and operational feasibility. - Develop compelling propositions, business models, pricing strategies, unit economics, operating models, and go-to-market plans. - Move beyond presentations by building prototypes, coordinating pilots, acquiring initial customers, and establishing the foundations for launch. - Turn validated ventures into scalable businesses by developing repeatable growth engines, robust operating models, strong teams, and performance management systems. - Translate complex analysis into concise, decision-ready recommendations for the C-level team, Leadership Team, and Board. - Mobilise colleagues across Product, Commercial, Operations, Finance, Legal, and Tax to move ventures forward. YOUR PROFILE - You have a hands-on builder mentality and do not wait for perfect resources or specialist support. - You use AI-native tools and vibe coding to rapidly build prototypes, automate workflows, analyse data, and turn ideas into tangible products and experiments—even if you are not a software engineer by training. - You are a recent graduate from a leading university or business school, such as WHU, HHL, HSG, HEC, ESADE, or a comparable institution; alternatively, you have up to two or three years of experience at a leading strategy consultancy such as McKinsey, BCG, Bain, or a comparable firm. - You want to build companies, products, or business lines and may aspire to become a founder in the future. - You can break ambiguous questions down into hypotheses, analyses, experiments, and clear decisions. - You combine strategic depth with a strong bias for action. You are willing to speak with customers, build a model, test a landing page, or solve an operational bottleneck yourself. - You understand what creates customer value and can connect it to pricing, unit economics, distribution, and scalable operations. - You communicate complex ideas clearly and concisely, both verbally and in writing. - You act with pace, resilience, sound judgement, high ownership, and low ego. - You are fluent in German and English. WHY TAXFIX?  - A chance to do meaningful, people-centric work with an international team of passionate professionals. - Holistic well-being with free mental health coaching sessions. - A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. - Employee stock options for all employees—because everyone deserves to benefit from the success they help to create. - 30 annual vacation days and flexible working hours. - A generous learning budget to support your personal and professional development and guidance from our internal L&D experts. - Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. - Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible. - Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions. - Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Check out our Life at Taxfix https://www.linkedin.com/company/taxfix/life/8684512c-424f-44de-8d07-6e6b516e3319/?viewAsMember=true page on LinkedIn to get a glimpse of our culture. At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves. Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.

Location: United States What the Role Is As the CS Enablement Program Manager, you’ll be the business owner of the systems that make both our human agents and AI agents effective, starting with the quality and integrity of the knowledge they rely on. As a highly autonomous, high-judgment IC, you’ll build and continuously improve the knowledge base, SOPs, training, and AI-powered workflows that underpin Customer Support across Babylist and Babylist Health. You’ll bring deep operational rigor and a strong understanding of how AI is changing customer support—using the technology in your own work while designing systems that make it more effective across the organization. This is a greenfield opportunity to build the CS Enablement function at a tech-first consumer company: identifying where knowledge, policies, and workflows break down, and partnering across CS, BizOps Tech, Product, and Analytics to build a support system that gets smarter and more reliable as we scale. Who You Are Deep expertise in Support Operations, Enablement, or Knowledge Management : you've owned documentation, workflows, and operational strategy in high-volume environments. Can build and manage a knowledge base from scratch (Zendesk, Gladly, Help Scout, Notion, Guru, or similar), organizing content and maintaining accuracy at scale so both humans and AI systems can use it effectively. Can design for a hybrid AI-agent and human-agent support organization : structuring content for AI consumption, writing effective prompts, evaluating output quality, and calling the line between what's automated and what stays human-owned. Can write clear, usable SOPs for complex, multi-step, or edge-case scenarios, and know when to automate them instead. Can build and deliver training that actually changes how people work : onboarding, process rollouts, tool adoption, AI workflow enablement. Strong analytical instincts : you can read support data (ticket trends, contact drivers, resolution times) and turn it into decisions about what to fix, automate, or rebuild. Comfortable being the first person to do this job. This space doesn't have an established playbook in customer support yet, you'll be creating it. Effective cross-functional partner who can work with BizOps, Product, Analytics, and engineering-adjacent teams to drive real change, not just executing within your own lane. Demonstrated track record of using AI to do your own work better . At Babylist every team uses AI daily. You're already using it daily to move faster and improve your output, and have real opinions about when it works and when it doesn't. How You Will Make An Impact Build the CS Enablement program from the ground up: create the systems that keep agents (human and AI) current on knowledge base, training, and copilot content as product changes accelerate. Move support operations from AI-assisted to AI-native: rebuild workflows, documentation, and training so AI is the default operating model. Build and maintain the knowledge base that serves as the source of truth for both AI systems and human agents, structured for AI consumption and kept accurate as products and policies evolve. Close existing content gaps and continuously identify how to reduce unnecessary escalations and drive meaningful improvement in chatbot coverage and resolution rate. Lead the implementation of an AI copilot and bring usage to 90%+ of agent interactions by making the copilot genuinely useful (better source material, better prompt design). Build agent confidence through scalable training that teaches people when to trust AI, when to override it, and how to give feedback that improves it. Create SOPs for complex scenarios so cases get handled consistently, audit and streamline fragmented workflows, and design new processes with AI built in from the start. Partner with the CS Analyst to identify top contact drivers and documentation gaps, then act on them. Establish feedback loops with frontline agents so the system keeps improving instead of just when someone notices a problem. Why This Role You'd be defining a role that doesn't have a template yet. "AI-native CS enablement" isn't an established discipline in customer support. You won't be applying someone else's playbook, you'll be writing it. The foundation is still forming, and that's the opportunity. Most of the knowledge base, SOPs, and AI workflows don't exist yet, so the systems you build become how the org operates for years. You'll have real influence on the roadmap, not just execution against it. You're setting the agenda with BizOps Tech, Product, and Analytics on what gets fixed, automated, and rebuilt next. Your success is directly visible in the numbers that matter to the business : chatbot deflection, copilot adoption, CSAT. This isn't a support role in the background, it's core to how CS scales. About Compensation We use a market-based approach to compensation. The starting salary range for this role is: $140,000 to $170,000 Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity. Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.

Location: Nicosia Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. As an Engineering Manager at Wrike, you will lead a cross-functional team to deliver high‑impact product and platform initiatives. You’ll combine strong technical acumen with people leadership, process excellence, and product thinking to drive timely and measurable business outcomes. In this role, you will own results end‑to‑end – from discovery and planning through execution, rollout, and continuous improvement – while helping your team grow and do the best work of their careers. Your Impact: Go beyond formal execution by shaping and building product experiences that matter to customers, using metrics (e.g., customer value, adoption, reliability, and quality) to measure impact. Own projects end‑to‑end: discovery and solutioning in partnership with product and design, planning and sequencing, execution, release preparation and launch, post-release follow-ups and maintenance. Partner with product to define, communicate, and track team goals/OKRs aligned with product and company strategy. Make thoughtful prioritization and trade‑off decisions between scope, quality, and speed. Lead planning, estimation, and phased rollouts for large, cross‑functional projects and customer‑impacting changes. Improve how the team works by evolving processes, tools, and collaboration patterns, including using AI/automation to increase efficiency and value. Partner closely with Product Management and Design as part of an effective “triad” to deliver customer‑centric solutions. Your Qualifications: 5+ years of relevant industry experience (engineering, technical leadership, and/or management). 3+ years of management experience, including leading cross‑functional teams. Proven track record of delivering measurable results (e.g., business impact, customer satisfaction, technical metrics (improved performance, reliability, quality, etc.), delivery metrics (team throughput, etc.). Experience giving direct, timely feedback and handling difficult conversations with clarity and empathy. Solid engineering background with the ability to “speak the language” of engineers, review designs, ask the right technical questions and challenge decisions and estimations. Experience with planning, prioritization, and execution of complex customer-facing projects. Strong written and verbal communication skills; able to tailor messages to both technical and non‑technical audiences. Experience in setting team goals and using metrics to manage and improve team performance. Strong track record in coaching, career development, and performance management. Proficiency with agile development practices and iterative delivery. Strong business and product sense: ability to connect technical work to customer value and company strategy. Standout Qualities: Demonstrated success hiring, developing, and retaining high‑performing engineers. Examples of effective communication: presentations, roadmap updates, etc. – targeting the entire team or stakeholders. Established practice of using data and analytics to make informed decisions and measure outcomes. Proven ability to introduce process improvements, challenge the status quo, and drive innovation within constraints. Hands‑on use of AI/automation tools to streamline workflows and increase team productivity. Ability to influence without authority and build trust across engineering, product, design, and business stakeholders. Team Dynamics: You will lead a cross-functional team of software engineers and work in close partnership with a dedicated Product Manager and Designer as an integrated “triad.” You’ll collaborate regularly with other product teams, platform/service owners, and cross‑functional stakeholders across the organization. You’ll report to a senior engineering leader and be part of a broader engineering management community that shares best practices, learns from each other, and supports your growth as a leader. Our Work Style: Cross‑functional, collaborative environment with tight partnership between Engineering, Product, and Design. Agile ways of working (e.g., iterative planning, frequent releases, continuous feedback loops). Emphasis on clear communication of plans, status, and risks to stakeholders. Strong focus on metrics to manage quality, reliability, and throughput, and to guide continuous improvement. Encouragement to experiment, use AI/automation, and refine processes to maximize impact and developer experience. Demonstrated total ownership and dedication: proactively drives initiatives from conception to results, takes responsibility for outcomes, and consistently follows through on commitments. Benefits & Perks: 25 calendar days of paid vacation Sick Leave Compensation (5 Paid Uncertified Sick Days) Parental Leave: 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) Hybrid Working Model School Allowance (Up to €600/month for school aged kids) Simcard w/ Unlimited Internet Access for active employees Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.