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Location: 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 We are looking for an experienced Partner Sales Manager, Mid-Enterprise to drive partner-led growth across Docker’s Mid-Enterprise business. The primary focus of this role will be generating pipeline for Docker’s AI Governance solution. Working closely with Docker’s Mid-Enterprise sales organization and priority channel partners, you will develop scalable sales plays, activate joint campaigns, and advance partner-sourced and partner-influenced opportunities from identification through close. You will own a partner revenue target focused on pipeline and ARR, transforming successful partner engagements into repeatable programs that expand market coverage and scale across sellers, partners, and regions. _______________________________________________________________________   RESPONSIBILITIES Partner Strategy & Execution - Develop and execute a Mid-Enterprise partner plan aligned with Docker’s go-to-market strategy and revenue goals. - Prioritize the partners, markets, and use cases with the greatest potential to generate pipeline at scale. - Build strong relationships with priority resellers, solution providers, and distributors. - Establish clear operating cadences covering joint planning, pipeline, forecasting, enablement, and performance. Scalable Partner-Led Growth - Create repeatable partner sales plays that drive account engagement and qualified pipeline. - Lead account mapping and prioritization with partners and Docker sales teams. - Activate joint campaigns, events, workshops, and outbound programs with Partner Marketing and Demand Generation. - Build the playbooks, messaging, training, and engagement workflows required for consistent execution. - Measure and refine programs based on adoption, conversion, pipeline contribution, and revenue. Pipeline & Co-Sell Execution - Own partner-sourced and partner-influenced pipeline generation and ARR. - Connect partners with Docker sellers and drive joint opportunities through qualification, progression, and close. - Maintain regular pipeline and forecast reviews with priority partners and sales leadership. - Identify risks, remove blockers, and implement actions that improve conversion and deal velocity. - Ensure partner activity is connected to measurable commercial outcomes. AI Governance & Solution Positioning - Enable partners to position Docker as trusted infrastructure for secure and governed AI-assisted software development. - Translate Docker’s AI governance strategy into practical customer use cases and repeatable partner conversations. - Identify segments and opportunities where AI adoption, governance, or software supply-chain security create customer urgency. - Partner with Product Marketing and technical teams to develop sales plays, workshops, and enablement assets. Cross-Functional Collaboration - Partner closely with Sales, Marketing, Solutions Engineering, Customer Success, and Revenue Operations. - Align direct sellers and partners around target accounts, opportunities, and clear rules of engagement. - Increase field adoption by making partner programs simple, relevant, and valuable to sellers. - Bring partner and market feedback into Docker’s go-to-market planning. _______________________________________________________________________ QUALIFICATIONS - 10+ years of enterprise sales, channel sales, alliances, or partner management experience in B2B technology. - Proven success generating pipeline and revenue through resellers, solution providers, VARs, or distributors. - Experience building scalable partner sales plays and joint demand-generation programs. - Strong pipeline management, forecasting, account-mapping, and co-sell experience. - Track record of aligning direct sellers and partners around shared revenue goals. - Experience in developer tools, DevOps, cloud infrastructure, cybersecurity, or AI technology is preferred. - Bachelor’s degree or equivalent professional experience. SKILLS & COMPETENCIES - Outcome-driven, with a strong focus on pipeline, revenue, and customer growth. - Able to turn successful partner engagements into repeatable, scalable programs. - Commercially rigorous and comfortable owning targets, forecasts, and performance reviews. - Strong field operator who can earn seller trust and move opportunities forward. - Skilled cross-functional collaborator across sales, marketing, technical teams, and partners. - Clear communicator who can translate Docker’s platform and AI governance strategy into customer value. - Data-driven and able to focus investment on the partners and programs producing the strongest results. KEY PERFORMANCE INDICATORS - Partner-sourced and partner-influenced pipeline and ARR - Pipeline coverage and forecast accuracy - Adoption and performance of repeatable partner plays - Active pipeline-generating partners - Seller participation in partner programs - Opportunity conversion, win rate, and deal velocity _______________________________________________________________________ WHAT TO EXPECT First 30 Days – Orientation & Foundation - Complete onboarding across Docker’s sales motions, tools, and processes - Learn Docker’s partner model and key partner segments (distributors, resellers, VARs, cloud marketplaces) - Build relationships with internal stakeholders and priority regional partners - Develop a high-level regional reseller strategy and engagement plan First 60 Days – Partner Cadence & Planning - Establish structured engagement and joint planning with top partners - Align on partner performance metrics, pipeline expectations, and enablement priorities - Collaborate with Marketing on a regional partner demand-generation plan - Align pipeline development strategies with regional sales leadership First 90 Days – Execution & Momentum - Launch initial joint sales and marketing initiatives with reseller partners - Drive partner enablement and define clear co-sell and deal engagement workflows - Begin tracking early performance indicators for partner-sourced and partner-influenced pipeline ONE-YEAR OUTLOOK - Build durable, high-value relationships with strategic and regional reseller partners - Drive measurable growth in partner-sourced pipeline, net new ARR, and renewals - Expand Docker’s regional coverage and market penetration through partner-led GTM - Continuously refine the reseller engagement model based on performance, feedback, and market trends 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. United States: $175K – $250K OTE ______________________________________________________________________ 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: Remote, USA Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Position Summary: The Market Insights Manager is an individual contributor responsible for executing the market research and competitive intelligence that informs PointClickCare’s product, marketing, and go-to-market decisions. This role maintains continuous competitive monitoring, builds competitor profiles and market trend analyses, and produces the reports, dashboards, and presentation materials that carry findings to cross-functional partners and contribute to leadership readouts. This role also independently designs and runs standard qualitative studies — in-depth interviews — and supports the design and analysis of quantitative studies such as surveys, MaxDiff, and pricing research. Success in this role requires analytical rigor, methodological curiosity, clear written and verbal communication, and the organization to manage several concurrent projects. Key Responsibilities: Foster a Customer-Centric Culture: Advocate for a customer-focused approach throughout the organization by promoting the voice of the customer and enhancing primary research capabilities. Execute Research Projects: Assist in designing, implementing, and managing market research studies utilizing qualitative and quantitative methods, such as surveys and focus groups, to gather insights on customer needs, market trends, and competitive activity. Methodology Development: Contribute to the development and refinement of research methodologies and best practices to enhance the quality and effectiveness of research efforts. Data Collection and Analysis: Gather, organize, and analyze data from various sources, including qualitative interviews, discussions, surveys, and industry publications, using both basic and advanced tools like Excel, SPSS, or AI-based solutions. Reporting and Insights: Create reports, dashboards, and presentations that clearly communicate findings and actionable insights to internal teams and stakeholders, aiding in marketing and product strategy decisions. Presentation Skills: Deliver findings and recommendations to senior leadership and stakeholders through engaging presentations. Quality Assurance: Maintain data accuracy and integrity by overseeing research administration, paying close attention to detail, and properly managing confidential or regulated information. Support Senior Staff: Provide logistical and analytical assistance to senior research or insights managers by conducting background research, drafting survey and discussion guides, and more. Project Management: Oversee project timelines, document research processes, assist with scheduling, and maintain organized research files. Innovation and Trends: Stay updated on emerging research technologies and methodologies to innovate research practices and enhance the quality of insights. Required Skills & Qualifications: 5 years hands-on experience within the market research industry, collecting and analyzing data, reporting and presenting findings within the healthcare industry Advanced analytical skills, including experience with statistical modeling and ability to integrate disparate data sources Advanced storytelling and presentation skills; ability to translate complex concepts and methodologies into easily understood language Expertise with Excel, PowerPoint, PowerBI, and AI solutions Highly motivated, results-driven person, who works effectively in a collaborative, fast-paced environment Bachelors or advanced degree in business, mathematics, or the sciences Should have understanding of conjoint, Max Diff, price elasticity, concept testing, and other such research types. Should have experience managing complex market research studies such as brand health and brand equity trackers Preferred Experience: Has a deep understanding of the healthcare industry/sector including experience with LTPAC, Acute and/or Payer audiences. Previous experience working successfully in a SaaS organization Experience with a wide array of new product, brand, advertising and customer segmentation research methodologies #LI-TW1 #LI-Remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $102,000 - $114,000 + bonus + benefits, non-overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Remote - UK MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. We are seeking a highly technical, visionary, and customer-centric Field CTO to act as our premier technical ambassador. In this role, you will bridge the gap between MinIO’s engineering innovation and the strategic business needs of our largest, most complex enterprise customers. As a Field CTO, you will engage in peer-to-peer conversations with enterprise C-suites (CIOs, CTOs, CDOs) and lead architectural discussions with principal engineers. A deep, hands-on understanding of modern AI architectures (LLMs, RAG, deep learning pipelines) and modern analytics data systems (Iceberg, Delta Lake, Trino, Spark) is mandatory. You will not only evangelize MinIO’s capabilities but also act as a trusted advisor, helping organizations architect their data infrastructure to support next-generation workloads. What You Will Do Executive Advisory & Evangelism: Act as a trusted technical advisor to C-level executives at Fortune 500 companies. Articulate the strategic value of high-performance object storage in the context of AI readiness and data democratization. Architectural Leadership: Design and validate complex, large-scale architectures for enterprise customers. Guide them in integrating MinIO seamlessly into their AI/ML pipelines and modern data lakehouse ecosystems. Industry Thought Leadership: Represent MinIO at major industry conferences, webinars, and meetups. Write technical whitepapers, reference architectures, and blog posts focusing on the intersection of object storage, generative AI, and modern analytics. Pre-Sales & Post-Sales Strategic Support: Partner closely with enterprise sales and customer success teams on high-stakes deals. Unblock technical objections and provide strategic guidance during Proof of Concepts (PoCs) and large-scale deployments. Product Strategy Feedback Loop: Serve as the "voice of the customer" to MinIO’s product and engineering teams. Distill market trends, customer pain points, and emerging AI/Analytics patterns into actionable product requirements. Your Skills and Experience 10+ years of experience in technical leadership roles (e.g., Enterprise Architect, Chief Architect, VP of Engineering, or previous Field CTO). Demonstrated experience in a customer-facing or evangelist capacity, successfully presenting to both highly technical audiences and C-level business executives. AI & Machine Learning Architectures: Deep architectural understanding of Generative AI and Large Language Models (LLMs) , including Retrieval-Augmented Generation (RAG) workflows and vector databases (e.g., Milvus, Qdrant, Pinecone). Strong knowledge of AI/ML data pipelines and frameworks (PyTorch, TensorFlow, Ray, Hugging Face). Understanding of hardware bottlenecks in AI, specifically the challenge of feeding data to GPUs (GPU data starvation) and how high-throughput storage solves this. Modern Analytics & Data Systems: Expertise in Open Table Formats (Apache Iceberg, Apache Hudi, Delta Lake) and their integration with object storage. Proficiency with modern query engines and compute frameworks (Trino, Presto, Apache Spark, Flink, StarRocks). Solid grasp of the evolution from traditional data warehouses to modern Data Lakehouse architectures. Infrastructure & Cloud-Native Tech: Strong command of Kubernetes, containerization, and cloud-native orchestration. Deep understanding of the AWS S3 API, RESTful APIs, and distributed systems design. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Mexico City SOLUTIONS ARCHITECT | LATAM Our Solutions Architecture team connects business priorities with practical technical solutions, helping customers understand how Chainalysis can support their most important objectives. In this role, you will provide technical leadership throughout the customer journey. You will turn complex requirements into clear recommendations, help customers envision how our products fit into their operating environment, and guide them toward measurable business outcomes. As a Solutions Architect, you'll develop a deep understanding of Chainalysis solutions and the problems our customers are trying to solve. You'll explain complex concepts in a clear, compelling way to technical practitioners, business leaders, and executive stakeholders. You'll also build practical, customer-specific solutions that support deployment, integration, adoption, and long-term value. In this role, you'll: - Serve as a core member of the account team, partnering closely with Sales, Services, Customer Success, Product, and Engineering. - Take ownership of customer outcomes across the full lifecycle, from initial discovery and solution design through investigation support, compliance program delivery, deployment, enablement, adoption, and expansion. - Lead discovery conversations that uncover customer objectives, operational pain points, use cases, technical constraints, and success criteria. - Translate business and operational needs into clear technical requirements, solution designs, and implementation paths. - Articulate Chainalysis capabilities in a way that is relevant to each customer's compliance, risk, fraud, investigations, or security environment. - Create tailored demonstrations, proof-of-value experiences, and technical narratives that show how Chainalysis can address customer priorities. - Conduct blockchain investigations, deliver compliance and regulatory guidance, and build technical solutions such as notebooks, dashboards, automation workflows, data integrations, reference architectures, and agentic workflows. - Develop AI-assisted workflows that accelerate and automate investigations, analysis, and customer processes, adapted to each customer's operating model, data, controls, and risk framework. - Design automation that fits into existing compliance, risk, fraud, investigations, or security operations rather than requiring customers to redesign how they work. - Help customers access and operationalize Chainalysis data through APIs, integrations, and fit-for-purpose technical patterns. - Provide guidance on solution architecture, API implementation, workflow design, data movement, and integration considerations. - Drive platform adoption by connecting customer workflows to Chainalysis capabilities and identifying new use cases. - Identify creative, responsible approaches to difficult customer problems, while balancing speed, scalability, security, maintainability, and measurable impact. - Build trust through sound technical judgment, clear communication, reliable execution, and a strong understanding of the customer's business. - Assemble the technical evidence base, including outcome data, consumption metrics, adoption analysis, and expansion signals, that supports quarterly impact reporting and renewal conversations. - Build customer capability and self-sufficiency rather than creating ongoing dependence on the Solutions Architecture team. - Own the feedback loop between customers and Product/Engineering, translating field insights and feature requirements into product improvements and bringing those improvements back to customers. - Act as a trusted advisor to customers, meeting them at their current level of crypto-maturity and partnering with them to advance their understanding, processes, and outcomes. - Represent Chainalysis at customer meetings, industry events, and conferences. - Contribute to the wider Solutions Architecture team through reusable assets, knowledge sharing, internal initiatives, and better ways of working. We're looking for candidates who have: - Several years of experience in one or more relevant areas, such as financial services, compliance, investigations, fraud, cybersecurity, digital assets, transaction monitoring, sales engineering, solutions architecture, or enterprise product management. - Experience making complex technical or operational concepts understandable to different audiences. - Strong storytelling, presentation, and written communication skills, with the ability to engage both technical teams and executive stakeholders. - A creative, structured, and investigative approach to solving challenging customer problems. - Comfort working with technical tools and learning new technologies quickly. Experience with Python or another programming language, SQL, data analysis, notebooks, workflow automation, APIs, integrations, or AI tools is valuable. - The curiosity and initiative to develop technical depth over time; you do not need to arrive with a complete technical stack, but you should enjoy investigating how things work and building the skills to solve new problems. - The ability to operate effectively when requirements are ambiguous, information is incomplete, or the best path forward has not yet been defined. - A collaborative, generous approach to working with others, including a willingness to share knowledge, seek input, and improve team practices. - A demonstrated focus on measurable customer outcomes, not simply technical activity or product usage. - An interest in blockchain and a desire to keep building your understanding of the technology, the market, and the customers we serve. 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: Remote About us OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world's transition to an open financial system, built on open standards and secured by rigorous research. Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap. We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle. Please note: Always refer to OpenZeppelin's official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information. The IT & Security Team The Information Security function operates independently under our Legal team and owns everything that keeps the OpenZeppelin organization secure. That means managing our Security, Privacy & IT Program end-to-end: our SOC 2 and ISO 27001 posture, vendor and privacy risk, incident response, our bug bounty programs, and the identity, endpoint, and access systems the whole company depends on. It is also the team our customers meet during security diligence. As our enterprise relationships deepen, increasingly with banks and other regulated institutions, our own program must be as credible as the security we deliver to customers. Today that program is established and audit-ready. The next chapter is turning it into an enterprise-grade security function that stands up to the scrutiny of the most demanding enterprise customers, partners, and regulators, while safely accelerating our adoption of AI across the company. What you'll be doing You will own the strategy, design, and continuous maturation of OpenZeppelin's Information Security Program, and be accountable for managing the team executing it. You can issue-spot security and privacy risks before they materialize, explain the principles behind security and compliance controls to auditors and enterprise security teams, and calibrate our security program proportionate to risk. IT and infrastructure: Oversee identity and access management, provisioning and onboarding/offboarding, end-user security (MDM, endpoint protection, security training), physical security, disaster recovery, business continuity, and data backup, using automation and AI-powered workflows to make IT and security operations scale faster than headcount. Strategy, governance and budget: Set the strategic direction, multi-year roadmap, and risk posture of the Information Security Program; deliver on department OKRs; and own the IT and technology budget, with ultimate responsibility for technology procurement. AI security and governance: Own the secure adoption of AI across the company: evolve our AI governance framework, review and approve AI tools and agentic workflows, and secure our agentic infrastructure (identity, least-privilege tool and data access, secrets handling, monitoring, auditability). Manage frontier model providers as critical vendors, covering security and data-handling diligence, retention and training-use commitments, DPAs and subprocessor flow-downs. Meet emerging obligations such as the EU AI Act, so we can make transparent, defensible commitments to enterprise customers about how our products and internal AI usage handle their data. Compliance, audit and enterprise trust: Own our audit, certification, and attestation strategy and execution (penetration testing, SOC 2 Type 2, ISO/IEC 27001, successor frameworks) alongside internal security audits; run a third-party and vendor risk management program; and serve as the external face of our security program with customer security teams, regulated financial institutions, and auditors. Privacy and data governance: Maintain a comprehensive data map of how data flows into, through, and out of the organization, including flows to model providers and through agentic workflows, with data classification, records of processing, and a vendor/subprocessor inventory. Own privacy compliance in partnership with Legal: GDPR, CCPA/CPRA, DPAs and contractual security commitments, and privacy-by-design reviews of new products and features. Security operations and incident response: Own the incident response program end-to-end, including playbooks, tabletop exercises, post-incident reviews, and breach-notification obligations in partnership with Legal. Manage our bug bounty programs, and partner with development teams to embed security best practices in the SDLC and our software offerings. You have 10+ years of Security and IT experience, including 3+ years leading a IT Security and GRC function (not solely IT operations) in a high-growth tech company, with demonstrated ownership of strategy, not just execution. A demonstrated trajectory toward CISO: you have owned a security program end-to-end, presented to executives or boards, and can articulate the "why" behind every control you have implemented. Experience securing or governing AI/LLM-enabled products or enterprise AI adoption including agentic systems and third-party model-provider risk, with an ability to apply privacy and data-protection laws and practices (e.g., GDPR, CCPA/CPRA) in the AI context. Nice to have 5+ years working in blockchain or a FinTech with an enterprise client base (e.g., financial services), including navigating rigorous third-party security diligence. Logistics: Our interview process takes place on Google Meet or Zoom and tends to consist of the following stages: Recruiter Call (30 minutes) Hiring Manager Call (30 minutes) Team Interview (30 minutes) Leadership Interview (30 minutes) Paid work test (up to 20 hours of paid work) Reference checks Benefits Meet your teammates at company gatherings around the world 😎 Enjoy the flexibility of fully remote work 🌎 Take the time you need with flexible time off 🏝 Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙 Build your ideal home office with up to $500 in equipment support 🪑 Stay covered with medical insurance 🏥 Keep growing with learning and development opportunities 🧠 Get a monthly stipend for your preferred co-working space 💻 At OpenZeppelin , we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us! Use of AI as part of the recruiting process As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s Data Privacy Notice . If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML based safety systems. We collaborate closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production. We own the research → production transfer of new safety technologies that is on the critical path for every Claude model launch. And we build for scale: serving thousands of ML classifiers, for all requests on the token generation path, and for every platform Claude runs on -- 1P, Bedrock, Vertex, and beyond. We’re growing the team and looking for engineers who have deep expertise in productionizing ML systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. And your tooling and infrastructure will be used for every model launch, which are becoming more complex, and more frequent. Responsibilities: Design and build scalable ML infrastructure to support real-time safety deployments across our classifier and model ecosystem Build monitoring and observability tools to track classifier performance, data quality, and system health for safety-critical applications Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards Implement automated testing, deployment, and rollback systems for ML models in production safety applications Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs Contribute to the development of internal tools and frameworks that accelerate safety research and deployment You may be a good fit if you: Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads Have built automated or self-service deployment pipelines and eval infrastructure allowing researchers to roll out classifiers and models independently Have implemented A/B testing frameworks and experimentation infrastructure for ML systems Are results-oriented, with a bias towards reliability and impact in safety-critical systems Enjoy collaborating with researchers and translating cutting-edge research into production systems Care deeply about AI safety and the societal impacts of your work Strong candidates may also have experience with: Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment Working with large language models and modern transformer architectures Developing monitoring and alerting systems for ML model performance and data drift Experience in trust & safety, fraud prevention, or content moderation domains Knowledge of privacy-preserving ML techniques and compliance requirements The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA 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: The Safeguards ML Sampling Path team builds and operates the production services that power Claude's safety systems. These services sit on the token generation path across every platform Claude runs on: every request must pass through them, and each millisecond of added latency is wait time for our users. You’ll keep p99 latency flat as traffic grows, build for robustness as dependencies time out or partially fail, and ship changes safely to a system that cannot go down. What you'll do: Design, build, and operate the backend systems that process every token on the generation path for Claude requests, including the streaming contract with the API and inference engines. Own latency and reliability end to end: define and maintain SLOs and error budgets for added latency, time-to-first-token, and availability, and lead incident response and postmortem follow-through. Ship changes to the hot path rapidly but safely — canaried and gradual rollouts, error budget and latency gating, fast rollbacks — and drive per-token performance: chase tail latency and keep cost flat as traffic, models, and checks per request grow. Set technical direction for the sampling path: lead design reviews, make latency, reliability, and cost trade-off calls with the inference and research teams, mentor engineers, and raise the operational bar for the wider Safeguards organization. You may be a good fit if you: Have designed, built, and operated high QPS systems at global scale, and were accountable for them in production: incident response, outages, and postmortem-driven remediation. Have a strong foundation in distributed systems: replication, consistency tradeoffs, failure modes, and SLO management under load. Design systems for graceful degradation: you plan for a slow dependency, a dropped stream, or a half-rolled-out deploy before it happens, and build so the system degrades predictably instead of failing. Have successfully shipped broad or all-encompassing changes to mission critical systems (e.g., database migrations, interface changes, rewrites). Strong candidates may also have: 8+ years of industry software engineering experience. Familiarity with LLM inference systems and transformer-based models (not required, but a plus). The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Almaty, Kazakhstan; San Francisco Bay Area, USA Workplace: OnSite Why work at Higgsfield AI? Higgsfield AI https://higgsfield.ai is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like. WHY THIS ROLE EXISTS A very large share of Higgsfield’s capital goes into compute. GPU procurement, deal economics, the financial planning around it — today that entire function effectively sits on one person’s desk. We’re not hiring someone to explain the business to the board. We’re hiring someone to drive $100M+ strategic deals end to end: find them, model them, negotiate them, close them, and own what happens after. The financial work matters because it’s how you win a deal and how you know it was worth winning — not because someone needs a deck. This is the largest line in our cost base and the surface area is enormous, so you’re in company-level decisions from week one. What the role demands is energy and complete ownership. Nobody hands you a process, a pipeline or a mandate here. You take them. WHAT YOU’LL DO Own GPU and compute economics - Engage and maintain relationships post-deal close, leading delivery of strategic, co-owned initiatives (e.g., co-marketing, case studies, presence at events/conferences, etc. - Become one of the most knowledgeable people in the world on the GPU and AI-compute market: pricing, supply, contract structures, who is building what and at what cost. Through research, and through showing up in person. - Source, structure and negotiate compute and infrastructure agreements — capacity commitments, long-term supply, colocation, energy-linked deals. - Build the cost models that say whether a deal is good, and challenge the ones that say it is. Build and challenge the financial picture - Build and stress-test P&L and FP&A models at company level. - Own forecasting for the largest line in our cost base. - Work directly with the CEO and the co-founders on the development strategy and financial planning. Shape major strategic deals - Model the economics of large partnerships and identify where the value actually sits. - Translate commercial decisions into a financial story leadership, the board and investors can act on. REQUIREMENTS - McKinsey / BCG / Bain-type background, or equivalent depth from corporate finance, investment banking, infrastructure PE, or a strategic-finance role at a fast-scaling company. Consulting alumni at Engagement Manager / Principal level and above. - You can build a three-statement model, an FP&A forecast and a deal case yourself — and find the error in someone else’s. - You understand the economics of large strategic deals: capacity, offtake, TCO, capex versus opex, contract structure. - At least 3 years working in international markets — at a global company, or in a role where you owned deals or operations across multiple countries. - Able to become a genuine domain expert fast, from a standing start, on something technical. - Heavy international travel. The GPU market is a relationship market and it does not happen online. - Fluent English and Russian. Nice to have - A technical or quantitative undergraduate degree — engineering, physics, applied maths, CS — underneath the commercial track. - Procurement, supply-chain or capacity-planning exposure at real scale. - Time at a cloud, GPU, data centre, semiconductor or energy company, including on the commercial side. - You’ve already made the jump from consulting or banking into an operating role at a startup. COMING FROM THE COMPUTE SIDE INSTEAD? If you’ve bought or sold GPU capacity at a cloud, neocloud, data centre or hardware company and you can hold your own on the numbers, this is your role too. We care that you know the market and can move a deal, not which chair you sat in while you learned it.   WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, and other office benefits. Location: Almaty or San Francisco (onsite), with heavy international travel and regular trips to the other hub. Our team works from the office six days per week. We believe in-person collaboration is an important part of how we move quickly, solve complex problems, and build strong teams. Also hiring: GM, International Partnerships — same seniority, focused on enterprise B2B partnerships and commercial execution across verticals. If your background is commercial rather than analytical, apply there https://jobs.ashbyhq.com/higgsfieldai/a89ac4c2-176b-44c0-9192-f6c16d786ea7 instead.

Location: United States; Canada Workplace: Remote As a Senior Software Engineer at Coder, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences.   What you’ll do here - Design and build production systems in Go, with work across React and TypeScript where needed. - Improve agent execution, tool use, context management, streaming, and long-running workflows. - Extend our provider-agnostic architecture as models and capabilities change. - Build reliable integrations between agents, workspaces, tools, and developer infrastructure. - Own projects from implementation through rollout and iteration. - Contribute to design reviews, code reviews, and technical discussions. - Partner with Product and Design to turn agent capabilities into useful developer experiences. - Improve the reliability, performance, and operability of agentic systems.   What we’re looking for - Strong experience building and operating production software systems. - Hands-on experience with Go. - Experience with React and TypeScript. - Experience building systems around LLMs or agentic workflows. - Familiarity with model APIs, tool calling, context management, or agent loops. - Good understanding of distributed systems and production reliability. - Working knowledge of AWS. - Strong problem-solving skills and comfort working through technical ambiguity. - Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing.   Bonus tacos if you have - Experience building coding agents, developer tools, or cloud development environments. - Experience with MCP, agent tools, or multi-agent systems. - Experience with remote execution, sandboxing, or isolated compute. - Experience building integrations across multiple model providers. - Experience with AWS, Kubernetes, Docker, or Linux. - Open-source contributions or experience working directly with customers.   Our tech stack - Backend: Go, Postgres - Frontend: TypeScript, React - Infrastructure: AWS, Kubernetes - Observability: Prometheus, Grafana - CI/CD: GitHub Actions   Coder’s agentic architecture is provider-agnostic. The foundation is built; this role helps extend it, improve it, and ship the next set of agentic capabilities. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Almaty, Kazakhstan; San Francisco Bay Area, USA Workplace: OnSite Why work at Higgsfield AI? Higgsfield AI https://higgsfield.aiis the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like. WHY THIS ROLE EXISTS Higgsfield has grown roughly 35x in the last twelve months. 390 of the Fortune 500 are already on the product, and the adoption patterns look like nothing that came before — teams find us, adopt us and expand without anyone selling to them. That’s what an AI-native product does, and it’s how the company is built: small teams, no inherited process, decisions made in hours rather than quarters. The opportunity now is to take that industry by industry. Advertising. Entertainment. Gaming. Retail. E-commerce. Each one is a category where a single person can go in, land the anchor accounts and own the vertical outright. We’re hiring hunters for that. Not account managers working inbound — people who pick a vertical, build the target list themselves, and take it. WHAT YOU’LL DO Own global B2B partnerships - Drive the full partnership lifecycle end to end — sourcing, pitching, structuring, negotiating and closing deals with international partners. - Build and scale the partnerships pipeline across key markets. You own the target list, not just the deals handed to you. - This role travels: partners, in their market, in person. Lead commercial execution - Own revenue targets and deliver against multi-million-dollar goals. - Structure complex deals, paid pilots and multi-year strategic agreements. - Restart stalled deals because you decided to, not because a process told you to. Shape strategy and go-to-market - Identify high-value use cases with partners and translate Higgsfield’s capabilities into outcomes they can defend inside their own organisation. - Design partnership models, pricing structures and GTM approaches from scratch. - Switch verticals fast — a media holding this month, a consumer brand the next, a platform after that. Own accounts and grow them - Build durable relationships at C-level with founders, operators and decision-makers. - Drive expansion, upsell and new revenue streams inside existing accounts. - Carry the full commercial picture: what a deal books and what it costs us to serve. REQUIREMENTS: - 7+ years in enterprise sales, business development or partnerships, closing complex multi-million-dollar deals you personally sourced and negotiated. - At least 3 years working in international markets — at a global company, or in a role where you owned deals or operations across multiple countries. - Experience at a company that scaled aggressively, where daily progress was expected and intensity was normal. - You hold both sides of the business in your head. You can say what a partnership earns and what it costs to deliver in the same sentence. - Comfortable with almost no structure. You’ll get context and access, not process. - Heavy international travel. - Fluent English and Russian. Nice to have - Sold into enterprise media, advertising, entertainment or consumer brands. - Ran a P&L, a market or a vertical as a GM or country lead. - Broke into an international agency or global commercial organisation as a non-native speaker. WHAT WE WEIGH OVER BRAND NAMES We optimise for intensity and ownership. Three deals you actually built beats a decorated CV of roles you inherited, and a thin LinkedIn profile is not a problem here — several of our strongest people have one. If your best work isn’t visible online, tell us about it in your application. WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, and other office benefits. Location: Almaty or San Francisco (onsite), with heavy international travel and regular trips to the other hub. Our team works from the office six days per week. We believe in-person collaboration is an important part of how we move quickly, solve complex problems, and build strong teams. Also hiring: GM, Strategic Partnerships — same seniority, focused on GPU and compute economics, financial planning and investor-facing strategy. If your background leans consulting or corporate finance, or you come from the cloud and compute world, apply there https://jobs.ashbyhq.com/higgsfieldai/00807c29-404b-4267-9089-40f031bfc6d1 instead.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO: - Drive partner activation through onboarding, enablement, certification, governance, and operational support programs that help product, strategic, and channel partners become productive quickly. - Build and continuously improve the systems, playbooks, processes, and partner-facing resources that enable Sierra’s partnership ecosystem to scale, including onboarding guides, enablement content, FAQs, and operational documentation. - Coordinate cross-functional execution across Product, Engineering, Sales, Solutions Engineering, Customer Success, Marketing, Legal, GTM Operations, and Partnerships to support product launches, technology integrations, joint GTM programs, co-sell motions, and strategic initiatives. - Plan and execute ongoing partner engagement and governance, including enablement sessions, webinars, QBRs, executive business reviews, newsletters, office hours, partner events, and ongoing partnership management. - Build reporting and use data to improve partnership health, tracking partner activation, engagement, pipeline contribution, partner-influenced revenue, and overall performance while identifying friction and continuously improving how Sierra launches, activates, and scales partnerships. WHAT YOU'LL BRING: - 6+ years of experience in partnership management, partner programs, partner success, ecosystem operations, program management, or a related function within an enterprise SaaS company. - Experience launching, activating, and scaling strategic partnerships, including partner onboarding, enablement, certification, joint GTM execution, technology launches, and ongoing partner success. - Strong cross-functional operator with experience influencing Product, Engineering, GTM, Customer Success, Marketing, Legal, and external partners without direct authority, and exceptional organizational, communication, analytical, and project management skills. - Comfortable with APIs, integrations, and technical product concepts, with the ability to collaborate closely with technical teams without needing to be an engineer. - Fluent with modern AI tools and workflows, actively using AI to improve your work and understanding how AI is changing enterprise software, customer engagement, and partnership models; thrives in ambiguity and enjoys turning strategy into repeatable execution. EVEN BETTER... - Experience supporting and scaling strategic partnership programs across product and technology partnerships, cloud ecosystems, systems integrators, strategic alliances, or channel networks, ideally in a high-growth global environment. - Experience working across enterprise software ecosystems and partners such as AWS, Google Cloud, Microsoft, Salesforce, ServiceNow, Stripe, Twilio, Snowflake, Databricks, or large global systems integrators, with familiarity across PRM, CRM, partner enablement, learning management, and collaboration platforms. - Technical and AI ecosystem experience, including AI platforms, developer tools, or enterprise software, with prior software development, solutions engineering, or technical implementation experience a plus. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an execution-focused and visionary Data Engineering Manager to lead our Data Platform Team. In this critical role, you will manage a team of talented engineers dedicated to building the common, reusable abstractions and high-throughput data infrastructure that power Garner’s internal and external applications. You will champion an AI-native development philosophy and scale our data pipeline capabilities, ensuring our systems seamlessly support the heavy computational demands of our next phase of company-wide growth. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Lead and manage the Data Platform Engineering team, owning the end-to-end design, implementation, and operational excellence of systems that process complex healthcare data Provide high-quality technical contributions and architectural guidance, establishing robust standards for data modeling, processing, and system maintainability Build and optimize common data abstractions, pipelines, and frameworks designed for high scalability, ensuring our platform keeps pace with exponential enterprise data growth Translate complex, ambiguous business and data requirements into well-scoped, accurately estimated, and composable architectural pieces Foster and drive an AI-native engineering culture within the team, integrating cutting-edge AI tools and integrations to enhance development workflows and automate data operations Manage and grow stakeholder relationships across Engineering and Product, aligning team priorities with departmental OKRs and broader business goals Mentor, coach, and guide your team members, conducting detailed design reviews and managing robust Root Cause Analyses (RCA) to continuously elevate technical rigor The ideal candidate has: 5+ years of hands-on engineering experience, with a focus on Big Data and distributed system and infrastructure 2+ years of managing engineering teams, with a track record of building and mentoring high performing teams Expertise with batch data processing frameworks such as Hadoop, Spark, EMR, etc. Experience with stream processing systems such as Kafka and RedPanda Proficiency with technologies such as Temporal, Apache iceberg, AWS glue, Spark, DBT, and Soda Exhibits strong ownership and a proactive mindset, with a proven ability to translate complex business needs into scalable, actionable technical roadmaps Demonstrated ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational success Preference for managing healthcare data standards (e.g. HIPAA, EDI) A desire to be a part of our mission to improve the U.S. healthcare system A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback Technologies we use: Python, Spark, dbt, SnowFlake, Iceberg, Airflow, OpenMetadata, Kubernetes, NATS, AWS, Terraform, Claude Code This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target salary range for this position is $310,000 - $385,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: San Francisco, CA; Washington, D.C. Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Own the end-to-end partnership strategy for Sierra’s US, Canada, and UK Government & SLED ecosystem, identifying, prioritizing, recruiting, and structuring the systems integrator, reseller, distributor, and strategic alliances that will most accelerate Sierra’s growth and expand our public-sector reach. - Build and lead joint go-to-market strategies with key partners, developing compelling joint value propositions, identifying priority accounts and use cases, and aligning sales motions, pipeline goals, and shared success metrics to drive measurable commercial outcomes. - Build a scalable partner program and enablement engine from the ground up, including training, certification paths, sales plays, field-facing materials, commercial frameworks, and onboarding programs that give partners the tools and confidence to effectively position, sell, and deliver Sierra. - Own and grow strategic partner relationships from initial engagement through long-term success, cultivating executive-level sponsorship while establishing the operating rhythms, joint planning, business reviews, governance, and scorecards needed to keep partnerships accountable, productive, and scaling over time. - Serve as the connective tissue between Sierra and the broader public-sector partner ecosystem, partnering closely with Sales, Marketing, Product, and Legal; bringing market intelligence and partner feedback back into Sierra; representing the company at key industry and procurement events; and using pipeline and performance data to determine where to invest, course-correct, or evolve our partnership strategy. WHAT YOU'LL BRING - 10+ years of experience in strategic partnerships, alliances, or channel strategy, with significant experience across US, Canada, and/or UK Government and SLED markets and a proven track record of building and scaling partner programs that drive engagement and pipeline. - Strong relationships across the government technology ecosystem, including resellers, systems integrators, distributors, and strategic partners such as Carahsoft, Deloitte, Accenture Federal Services, or comparable public-sector organizations. - Deep understanding of government procurement and public-sector requirements, including RFPs/RFIs, cooperative purchasing vehicles, GSA schedules, CCS/G-Cloud frameworks, Canadian procurement vehicles, and relevant compliance, security, and accessibility requirements. - Strong executive presence and relationship-building skills, with a demonstrated ability to earn senior-level trust and sponsorship while developing GTM frameworks, enablement programs, and operating cadences that scale partnerships. - AI fluency and a builder mindset, with experience leveraging AI-powered tools and insights in day-to-day work and applying that knowledge to partnerships around an AI-native product like Sierra, along with the ability to travel across the US, Canada, and UK as needed. EVEN BETTER... - Experience working at or partnering closely with government-focused organizations such as Carahsoft, Deloitte, or Accenture Federal, ideally within a high-growth enterprise company where you helped build and scale a public-sector partner ecosystem. - Experience structuring and growing strategic partnerships, including negotiating commercial terms, developing co-sell and governance frameworks, and driving joint GTM initiatives, customer events, executive engagement, and partner marketing programs. - Knowledge of the government technology landscape, ideally including CX/customer service technology, AI/ML applications and public-sector AI policy/procurement trends, with an existing security clearance or eligibility to obtain one where applicable. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Staff Machine Learning Operations Engineer to join our Platform Engineering team . This role will report to the VP of Platform Engineering . As Garner's foundational dedicated MLOps Engineer, you will assume responsibility for the reliability, performance, and cost-efficiency of our production machine learning systems. You will lead the development of a robust platform designed to facilitate the secure and consistent deployment of models by our machine learning and data science teams. Given that these models directly influence health outcomes and cost-effectiveness for millions of patients, maintaining the highest standards of production quality is imperative. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own the reliability, performance, functionality, and cost-efficiency of Garner's production ML systems, including establishing SLOs, observability, and on-call responsibilities. Architect Garner's ML platform including required data infrastructure (including feature store, model registry and CI/CD for models), and standardized service patterns. Implement ML-specific CI/CD pipelines: Transition our deployment process from manual notebook hand-offs to automated, PR-driven CI/CD workflows that include automated data quality checks and statistical model validation prior to deployment. Drive down cost and latency through improved architecture, hardware choices, and model optimization as appropriate. Lay the foundation for a future Garner MLOps team, including workflows, standards, and KPIs that enables rapid teammate onboarding and helps stakeholders and teammates quickly identify the health of the team’s products, allowing engineers to focus on areas where issues reside Establish Drift Monitoring: Design and implement automated data drift and concept drift monitoring systems that alert the team when models degrade, laying the groundwork for future Continuous Training (CT) architectures The ideal candidate has: 7+ years of software engineering experience, with significant time spent operating ML or data-intensive systems in production at scale. Deep experience with the modern ML production stack: model serving (e.g., Sagemaker, Triton, or equivalent), feature stores, model registries, and CI/CD for ML. Strong infrastructure and platform engineering fundamentals: Kubernetes, containerization, cloud (AWS preferred), Terraform/IaC, observability, and incident response. Experience designing ML platforms or significant components of one (not strictly consuming SaaS) and the judgment to know when to build vs. buy. Strong collaboration with ML, data, platform engineers, data scientists, and product engineering teams, with the ability to set technical direction as the most senior MLOps voice in the org. Healthcare, regulated-data, or other high-stakes production ML experience is a plus but not required. A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you’ll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Python, Kubernetes, AWS, Sagemaker, Terraform, S3, Snowflake, Airflow, Datadog This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $298,000 - $351,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: London, United Kingdom WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE As a Manager of Forward Deployed Engineering on Notion’s Services team, you will lead a team responsible for the hands-on technical delivery of our most complex customer engagements. Your team will design, build, and deploy production-ready solutions that help enterprise customers integrate Notion as the operating layer for their business. You will combine people leadership, technical judgment, and customer-facing delivery. You will coach Forward Deployed Engineers through discovery, architecture, implementation, and launch while remaining close enough to the work to guide difficult technical decisions, unblock delivery, and build trust with senior customer stakeholders. The team’s work includes custom code, production-grade agents and AI workflows using MCP, Agent APIs, and Notion’s automation and execution infrastructure, as well as integrations, data pipelines, enterprise migrations, and complex challenges involving scale, permissions, and governance. You will help establish how Services delivers complex technical implementations across EMEA. This includes building a high-performing team, improving delivery standards and reusable technical assets, partnering with Sales, Product, CX, and Engineering, and turning lessons from customer deployments into product and platform improvements. WHAT YOU'LL ACHIEVE - Lead, coach, and develop a team of Forward Deployed Engineers delivering complex enterprise customer engagements across EMEA. - Create a high-performance team environment with clear expectations, strong technical standards, effective feedback, and meaningful career development. - Own the quality and outcomes of engagements from technical discovery and requirements gathering through solution design, implementation, launch, and handover. - Act as a trusted technical and delivery advisor to customer engineering, IT, security, and business leaders, helping them make informed architectural decisions and deepen their use of Notion. - Guide the design, build, and operation of custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows. - Oversee large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, cutover, and post-migration optimization. - Review technical designs and implementation plans, identify delivery risks early, and step in directly when an engagement requires senior technical leadership. - Partner with Sales and Services leaders on qualification, feasibility, scoping, effort estimation, staffing, and delivery planning for strategic opportunities. - Balance customer priorities, team capacity, and technical complexity to make sound staffing and sequencing decisions. - Help define and scale the operating model for Forward Deployed Engineering, including hiring, onboarding, delivery methodologies, quality reviews, documentation, and engineering best practices. SKILLS YOU'LL NEED TO BRING - 8+ years of experience in forward deployed engineering, solutions engineering, professional services, customer engineering, software engineering, or a similar hands-on technical role. - 2+ years of experience managing, coaching, or leading engineers responsible for customer-facing technical delivery. - A strong track record of hiring, developing, and retaining high-performing technical teams. - Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python, with the technical depth to review production-quality code and guide implementation decisions. - Hands-on experience with APIs, integrations, authentication, data transformation, and production systems. - Experience leading technical discovery, assessing feasibility, identifying risks, scoping work, estimating effort, and translating ambiguous requirements into executable plans. - Strong architectural judgment and debugging skills, with the ability to isolate root causes across code, APIs, permissions, integrations, data quality, automation logic, system limits, and customer-specific environments. - Demonstrated success managing multiple complex customer engagements while maintaining quality, team health, and clear stakeholder communication. - Strong written and verbal communication skills, with the ability to influence technical and business audiences from practitioners through executive stakeholders. - A customer- and outcomes-oriented approach, with sound judgment about when to standardize, when to customize, and how to manage tradeoffs. NICE TO HAVES - Experience building or scaling a Forward Deployed Engineering, professional services, or customer engineering function in a startup or high-growth environment. - Experience deploying AI agents in complex coding or business workflows. - Experience designing or implementing AI-powered workflows involving MCP, APIs, LLM applications, prompt engineering, retrieval or RAG systems, or workflow orchestration. - Experience with ETL or ELT workflows, schema mapping, validation scripts, and large-scale content or data migration tooling. - Experience partnering with product and engineering teams to influence roadmaps or architectural decisions based on customer implementation needs. - Experience supporting pre-sales and early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, prototypes, and custom scripts. - Experience establishing technical delivery standards, quality review processes, discovery methodologies, or internal engineering tooling from the ground up. - A strong track record of successful enterprise implementations across multiple industries or regions. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Limassol, Cyprus; Paphos, Cyprus; Prague, Czech Republic JetBrains is a well-known international software development company. Ever since we started, back in 2000, we’ve strived to make the strongest, most effective developer tools on earth. Our products are trusted by more than 15 million users worldwide, and 88 Fortune Global 100 companies are our customers. While we’re best known in the developer community, JetBrains is home to over 2,500 internationally minded professionals working in offices across Europe, the US, the Middle East, and Asia. If you’re passionate about doing meaningful work, making a tangible impact, and embracing a collaborative culture that favors continuous improvement, you’ll find your place here. We’re looking for an experienced Finance Business Partner with a global mindset to join our FP&A team. In this role, you will act as a trusted advisor to business leaders, supporting strategic decision-making through insightful analysis, financial planning, and performance management. You will work closely with stakeholders from various departments to ensure that financial insights translate into actionable business outcomes. If you thrive in a dynamic environment, welcome change, and enjoy combining analytical depth with business acumen, we’d love to hear from you. This is a 2-year fixed-term maternity cover position. In this role, you will be responsible for: Business Partnering & Decision Support Partner with leaders across functional and corporate departments (e.g., Sales, Marketing, HR, G&A) to bring a financial perspective to planning, investments, and operational decisions. Act as a trusted advisor, challenging assumptions and ensuring decisions are grounded in financial and business impact. Foster financial awareness across non-financial stakeholders, helping them understand cost drivers, trade-offs, and financial implications of their decisions. Planning & Performance Management Lead budgeting, forecasting, and reforecasting processes for your areas, ensuring assumptions are robust and aligned with company priorities. Monitor and analyze actual performance vs. plan, identifying key drivers, variances, risks, and opportunities. Drive cost management and resource allocation discussions to support efficient scaling of functions. Analysis & Reporting Prepare, analyze, and interpret financial and operational data, including both financial and headcount-related metrics. Investigate monthly variances at both company and department levels, ensuring transparency and clear explanations of performance. Deliver clear, structured, and insightful reporting and presentations for senior management. Handle ad hoc analyses and provide data-driven insights to support decision-making. Data Ownership & Financial Integrity Ensure accuracy, consistency, and integrity of financial data, including alignment between planning, reporting, and actuals. Coordinate and validate inputs such as cost distributions, and headcount planning. Collaborate closely with Accounting, Controlling, and Data teams to maintain high-quality management reporting. Tools, Processes & Continuous Improvement Own and improve financial models, forecasting methodologies, and reporting tools. Contribute to the development and automation of dashboards and reports (e.g., in Excel, Power BI, or similar tools). Drive process improvements to increase efficiency, scalability, and transparency in FP&A processes. You’ll be successful in this role if you have: Proven experience as a Finance Business Partner, Financial Analyst, or similar FP&A role in a multinational or fast-growing company; Strong knowledge of financial planning, budgeting, and performance management processes; Excellent analytical and problem-solving skills, with the ability to translate data into insights that drive business action; High proficiency in Excel and experience with FP&A tools and BI platforms (e.g., Tableau, Power BI, BOARD, or similar); Strong business acumen and the ability to engage confidently with technical and product stakeholders; Excellent communication and collaboration skills, especially when simplifying complex financial topics for non-financial audiences; A proactive mindset, attention to detail, and the ability to manage multiple priorities in a dynamic environment. Fluency in English, both written and verbal. At JetBrains, we believe great software is built by great people – and great decisions are powered by great data. As a Finance Business Partner, you’ll have the opportunity to shape the way we plan, analyze, and steer our business. You’ll collaborate closely with leaders across departments, combining analytical depth with strategic thinking to ensure our financial foundation supports innovation and excellence. Join us to shape how financial insights guide the future of JetBrains. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family. Learning and development opportunities. Access to conferences, courses, and language classes. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-HYBRID #LI-YY1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: United Kingdom (Hybrid); United Kingdom (Remote); Spain Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo, we have ~200 Engineers organised into Pillars. ✨ Our stack spans a Ruby on Rails monolith, a single React Native (TypeScript) app frontend, Python for machine learning services, and PostgreSQL, all hosted on AWS and shipped through Kubernetes - backend goes out multiple times a week, app releases to Google and Apple at least weekly. To thrive here, our engineers proactively use our Engineering Principles to guide daily decisions, take ownership of problems beyond their own squad to drive broader impact, and actively drive their own learning, development, and growth. ABOUT THE ROLE ✍️ We're hiring a Staff Backend Engineer for our Financial Assistant Pillar. You'll shape technical direction and drive delivery across multiple functional product squads. Key responsibilities for this role include: - Partnering with senior peers to define architecture and lead complex, high-impact initiatives - Bringing teams together to ship ambitious product work that improves users’ financial health - Building shared systems, patterns, and tooling that raise the bar across engineering - Staying hands-on in our Ruby on Rails monolith -- designing APIs, data models, and scalable services - Anticipating risks and opportunities early, influencing plans and technical strategy - Mentoring engineers and TLs, growing the next generation of technical leaders   WHAT WE'RE LOOKING FOR 🕵️ - You’re excited by the opportunity to own and influence technical direction at a pillar level - You’ve operated at senior/staff level across multiple teams or complex domains - You bring strong technical judgment and think in long-term, scalable solutions - You’re comfortable leading without authority and aligning teams around a shared direction - You have a track record of building systems and practices used beyond your immediate team - You enjoy mentoring and raising the bar for others - You have strong, hands-on experience with Ruby on Rails (essential) WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: United Kingdom (Hybrid) Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo, we have ~70 Data Scientists (Product Analysts) working embedded into our Pillars ✨ They stay connected and share knowledge consistently through monthly meetings and slack channels to scale approaches and ensure everyone learns in the same way. They thrive through clear communication with their squad and stakeholders to influence product or company decisions, being that bridge between the non-tech and technical sides of the team. We have deeply structured data and a great experimentation culture using StatSig for all analysts to dive into! ABOUT THE ROLE ✍️ We're hiring a senior analytics leader to own the analytics strategy and operating model across Cleo's Financial Services Product pillars. You'll lead and develop the analytics leadership layer itself - L4/L5 managers and senior ICs - setting company-level standards for metrics, experimentation, and reporting across pillars. - Own the analytics strategy and operating model across Financial Services Product pillars - coherent measurement, experimentation, and insight cadence mapped to company priorities - Lead and develop the analytics leadership layer (L4/L5 managers and senior ICs), building a strong bench, growth plans, and succession so the function doesn't rely on any single person - Drive the experimentation programme as a product - fixing structural issues like single source of truth, standard bucketing, automated conflict detection, sizing and priors - and raise the bar on rigour across squads - Improve observability of live user flows and metric movements, partnering with Engineering on the event framework and product-health reporting - Champion responsible use of agentic AI as a force multiplier for analytics, with sensible guardrails - Partner with Product, Credit, Engineering, Commercial, and ML leadership to shape roadmaps and trade-offs with evidence, giving senior leadership clear visibility on what's driving key metrics - Set and enforce company-level standards for metrics, experimentation, and reporting, reducing duplicated, siloed work across pillars WHAT WE'RE LOOKING FOR 🕵️ - 8+ years in data analytics, data science, BI engineering, or analytics engineering, ideally in a high-growth, product-led company - Proven management experience of at least 4+ ICs - Deep experimentation expertise beyond stat-sig testing - fixing structural problems in a testing programme: bucketing, conflicts/collisions, sizing, priors, governance - A builder's instinct: bias for automation, ownership, and shipping - Ability to set standards and an operating model that teams actually adopt, measurably improving delivery beyond a single team - Commercial sense - can translate product/user metrics into revenue, profitability, and LTV, and hold your own with Product Directors and Commercial stakeholders - Systems thinker, comfortable in a mature, complex product environment with interacting parts (e.g. payments, credit risk, ML models feeding user experience) - Exec-ready storytelling - can synthesise across pillars, land insight at the right moment, and set and defend targets with senior stakeholders - Player-coach instinct - creates leverage through delegation, templates, and self-serve, but goes hands-on on the highest-leverage or most ambiguous problems when needed - Comfortable using AI tools (Claude, Cursor) as leverage, with the judgement to know when to trust output and when to verify - Interest in fintech and Cleo's mission to make money easier and more human - Nice to have: causal inference depth (CUPED, Bayesian methods, PSM, uplift modelling) and the judgement to know when it's worth the effort - Nice to have: genuine enthusiasm for agentic AI as a force multiplier in analytics workflows - Nice to have: credit-risk analytics exposure - arrears, defaults, how ML risk models interact with product analytics and UX - Nice to have: fintech, personal finance, lending, or high-growth consumer subscription experience WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!