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Location: Lagos, Nigeria Who We Are: We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience. The Role: The Credit Policy Analyst is responsible for designing, implementing, and continuously improving credit policies and underwriting strategies for new lending products, including Credit Cards, Credit Lines, Buy Now Pay Later (BNPL), Merchant Financing, and other emerging digital credit solutions. The role partners closely with Credit Risk, Product, Data Science, Fraud, Technology, Finance, and Operations teams to ensure new products are launched with robust credit decisioning frameworks that balance portfolio growth, customer experience, profitability, and risk management. This role is ideal for someone with strong expertise in credit policy development, consumer lending, and data-driven decision-making within a fast-paced banking or fintech environment. What You Will Do: Design and develop credit policies for new lending products, including Credit Cards, Credit Lines, BNPL, Merchant Financing, and other digital lending solutions. Define customer eligibility criteria, underwriting standards, credit limits, pricing strategies, and approval rules for new products. Develop, test, and optimize credit decision rules, scorecards, and policy frameworks to improve portfolio quality and customer acquisition. Monitor the performance of newly launched products and recommend policy enhancements based on portfolio analytics and business performance. Conduct policy simulations, scenario analysis, and impact assessments before implementing credit policy changes. Collaborate with Product, Data Science, Fraud, Engineering, Collections, and Finance teams throughout the product development lifecycle. Analyse customer behaviour, repayment trends, portfolio performance, and profitability to support policy improvements. Recommend changes to approval strategies, credit limits, pricing, and risk controls based on portfolio performance and market trends. Develop automated dashboards, portfolio monitoring reports, and policy performance metrics for management reporting. Support A/B testing and champion/challenger strategies to continuously improve credit decisioning. Ensure all credit policies comply with regulatory requirements, internal governance standards, and the Bank's risk appetite. Maintain comprehensive documentation of credit policies, governance approvals, decision rules, and implementation procedures. Support audits, regulatory reviews, and compliance activities relating to credit policy management. Requirements What You Bring Educational Qualification: Bachelor's degree or Higher National Diploma in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, Business Administration, or a related quantitative discipline. A Master's degree is an added advantage. Professional Certifications: Financial Risk Manager (FRM), Chartered Financial Analyst (CFA), or equivalent risk management certification is preferred. Credit Risk or Consumer Lending certifications are an added advantage. Professional certifications in SQL, Python, SAS, Power BI, or Data Analytics are desirable. Experience: Minimum of 4–6 years of experience in Credit Policy, Credit Risk, Portfolio Analytics, Consumer Lending, or Lending Strategy. Hands-on experience designing or managing credit policies for retail or digital lending products. Experience within banking, fintech, consumer finance, or other regulated financial institutions. Experience supporting the launch of new lending products is an added advantage. Professional Competencies: Strong understanding of consumer lending, underwriting principles, and credit policy management. Experience developing credit strategies for products such as Credit Cards, Credit Lines, BNPL, Merchant Financing, or unsecured lending products. Knowledge of scorecards, decision engines, credit bureau data, affordability assessments, and risk-based pricing. Strong analytical skills with experience using SQL, Excel, Power BI, Python, SAS, or similar analytical tools. Understanding of portfolio monitoring, IFRS 9, Expected Credit Loss (ECL), and portfolio performance metrics. Experience conducting policy performance analysis, segmentation, champion/challenger testing, and portfolio optimisation. Excellent analytical, communication, and stakeholder management skills. Strong attention to detail with the ability to balance business growth, customer experience, and credit risk. This Role Is Ideal For You If: You enjoy designing credit strategies for innovative lending products. You are passionate about balancing business growth with prudent risk management. You enjoy using data and analytics to improve customer decisioning. You thrive in collaborative, cross-functional product development environments. You enjoy solving complex lending and credit policy challenges. You May Not Enjoy This Role If: You prefer operational or administrative work over analytical and strategic roles. You are uncomfortable making data-driven credit policy recommendations. You dislike working with large datasets, policy optimisation, and performance analytics. You prefer highly repetitive work with limited opportunities for innovation. Benefits What's In It For You: Opportunity to shape the credit strategy for innovative lending products within a leading fintech organisation. Hands-on experience launching and optimising products such as Credit Cards, Credit Lines, BNPL, and Merchant Financing. Exposure to Product, Data Science, Risk, Engineering, Finance, and Executive Leadership teams. Continuous learning, professional certification support, and career development opportunities. Competitive compensation and the opportunity to solve complex, real-world lending and credit risk challenges.

Location: Canada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Toronto; Victoria; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models, to be exact) learn in similar ways to humans, by way of feedback. By labelling, ranking, auditing, and correcting model output, you will improve Large Language Models' performance for iterations to come, thus having a lasting impact on Cohere's technology. We are hiring Generalist professionals with broad backgrounds that span multiple consumer-facing or personal domains. This is a judgment-driven role, not passive data entry. You will review, assess, and provide structured feedback across a broad and evolving range of tasks, evaluating, stress-testing, and improving our models on English-language data spanning multiple modalities (text, image, and structured formats such as JSON, CSV/TSV, and Markdown). This is a great opportunity for professionals with strong analytical skills to contribute to high-impact annotation projects. Please Note: This is a part-time independent contractor position available within Canada only. We seek candidates who can commit to 16 hours per week at a CAD $30/hour contract rate. This role is BYOD 💻 (Bring Your Own Device, laptop). This position is remote. As an Data Annotation Specialist, you will: - Evaluate and rank model outputs: Complete preference and comparison tasks, assessing which responses best conform to project guidelines for accuracy, helpfulness, tone, and safety, and writing clear justifications for your judgments. - Stress-test and break models: Probe models adversarially to surface failure modes, unsafe behavior, and capability gaps, and document reproducible cases that engineering and research teams can act on. - Create datasets: Author high-quality prompts, responses, and exemplars to build training and evaluation datasets, following detailed specifications and editing machine-written or human-written outputs to standard. - Build and apply rubrics and taxonomies: Contribute to the design of grading criteria and rubrics, then apply them consistently to produce structured, high-quality annotations across task types. - Annotate and correct multimodal data: Label, audit, and rectify inaccuracies across text, image, and structured data, maintaining a high standard of data integrity and accuracy. - Calibrate and maintain consistency: Participate in calibration exercises and inter-annotator agreement checks to align on standards, and flag ambiguous or uncovered edge cases rather than guessing, since a single misjudgment replicated at scale degrades a model. - Adapt to experimental work: Take on new and evolving task types as project needs shift, applying sound judgment in areas where guidelines are still being developed. - Report on model performance: Surface and communicate quality and performance trends in model and agent behavior, giving cross-functional partners clear, well-evidenced feedback on where models succeed, fail, and degrade. You may be a good fit if you have: - 1+ years of experience in AI data annotation, LLM evaluation, content moderation, research, or a related analytical role, with exposure to quality assurance, and/or preference ranking. - Experience applying detailed guidelines to complex and often ambiguous content, with strong contextual and sociocultural judgment, sensitivity to nuance, tone, and register, and the ability to reason well in cases where there is no single correct answer. - Comfort with ambiguity: a willingness to flag unclear or uncovered edge cases rather than guess, and to work productively on novel, experimental tasks whose definitions are still evolving. - A sharp, curious eye for inconsistencies, subtle errors, and model failure modes, including the instinct to probe models adversarially and surface where they break. Familiarity with how large language models behave, such as hallucination, sycophancy, and instruction-following gaps, is a plus. - Excellent command of written English and strong reading comprehension, with the ability to clearly justify your evaluations, including why an output is correct or incorrect, high-quality or low-quality, and to write clear prompts and exemplars that explain your reasoning. Bonus points if you are fluent in another language! - Strong attention to detail and commitment to accuracy, with the ability to maintain consistency across high-volume and monotonous tasks. - Comfort working with annotation platforms and structured formats such as JSON, CSV/TSV, Markdown, XML, and YAML. - Strong execution in a remote environment, including good time management, comfort using new tools, and the ability to work independently in a global, asynchronous team. Candidate Journey - Initial Screening: Our Talent Team will review your application. - First Assessment: If selected to move forward, you’ll receive a multiple-choice assessment by email. - Second Assessment: Candidates who achieve a passing score will be contacted by a member of our team to complete a more comprehensive assessment focused on their area of expertise. - Video Screen: If selected to move forward, you’ll have a short video call with a member of our Operations Team. - Final: Selected candidates will receive an Independent Contractor Agreement. As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by contractors invoicing for services provided pursuant to the terms of our agreement with the contractor. It is important to understand that as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week. Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.

Location: New York City Office Workplace: Hybrid COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting. ROLE DESCRIPTION As an Enterprise Solutions Engineer, you’ll lead the design, delivery, and ongoing optimization of automation solutions for Tennr’s most complex customers — large-scale health systems, national provider groups, and enterprise partners. This is a highly technical, strategic, and customer-facing role that demands deep domain fluency, executive presence, and strong systems thinking. You’ll own enterprise-scale implementations end-to-end: from pre-sale discovery and business case alignment to go-live and expansion. You’ll act as both a trusted technical advisor and a project lead, working closely with senior customer stakeholders and cross-functional teams at Tennr to ensure lasting success. This role sits within a high-performance implementation pod and directly influences Tennr’s go-to-market and product strategy. RESPONSIBILITIES - Lead end-to-end enterprise implementations, from discovery to post-go-live - Align cross-functional teams and manage project delivery, risks, and change - Conduct operational audits to identify workflow gaps and automation opportunities - Design scalable, configurable solutions using Tennr’s platform and APIs - Reimagine processes with automation best practices, not just replicate legacy systems - Collaborate with Product, Engineering, and Sales to shape solutions and delivery scope - Maintain documentation, enable knowledge transfer, and improve internal delivery tools - Support sales strategy, mentor junior team members, and influence product roadmap QUALIFICATIONS - 4+ years of experience in enterprise SaaS delivery or solution design - A degree or minor in Computer Science, Engineering, or a related technical field is strongly preferred - Strong understanding of APIs, systems integration, and technical architecture - Proven ability to lead complex technical engagements with large enterprise customers - Skilled at communicating technical concepts to both executive and technical audiences - Experience navigating complex org structures and aligning cross-functional stakeholders - Strong problem-solving skills with a focus on strategic, scalable solutions - Business acumen and domain fluency — ideally in healthcare or similarly complex industries - Comfortable with ambiguity and fast-paced, unstructured environments - Demonstrated ability to mentor others and contribute to team-wide best practices - High ownership mindset and urgency — proactive, resourceful, and impact-driven Nice to Haves - Familiarity with workflow automation, RPA, or enterprise integration platforms (e.g., MuleSoft, Workato) - Background in consulting, solution architecture, or technical customer success - Experience in startup environments or scaling delivery functions WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week - Free lunch! Plus a pantry full of snacks. BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer funded 401(k) match - Competitive parental leave

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 GTM Systems builds and runs the platform that Sales and contracting operate on. These are production systems that process real transactions and produce the data the rest of the company depends on, and the team has grown into a scope where the engineering practices need to grow with it. The platform-developer model got us here. The next stage is a team that operates as software engineers on top of it. We are hiring a technical lead to build that next stage. You will design and stand up the engineering motions the team runs on, from pull requests and CI/CD through automated UAT, and you will set the technical bar by working alongside the team rather than legislating from the side. Anthropic is also an unusual place to do this work: our own frontier models are part of your toolkit, the team already uses them daily, and a real part of this role is turning that individual usage into a coordinated engineering practice. Key responsibilities Lead architecture reviews for GTM systems that process lead-to-cash transactions and generate the data points the organization runs on, including changes originating in other teams that land on our platform Architect and mature the engineering pipeline the team develops against: pull request workflow, CI/CD, automated UAT, and the deploy path from source control to production Establish shared AI-assisted development standards for the team, converting existing individual usage into consistent practice that holds up under review Work with engineering teams outside GTM on shared architectural problems and common tooling, where the right answer is a platform decision rather than a local one Build and shape the agentic tooling running on top of our platform, and set the pattern other engineers follow when they build the next one Trace the dependency chain from upstream data and downstream quoting and provisioning systems, and make sure design decisions account for what they break Partner with the platform developers on the team as engineering practice deepens, expanding what the team can safely ship Minimum qualifications Have strong software engineering fundamentals: version control discipline, testing, code review, deployment automation, and a bias toward simple designs Have built the delivery pipeline for a team, not just worked within one, and can describe the sequencing choices you made Have led a team through a step change in engineering practice as its scope grew, including what you did when adoption slowed Work fluently with AI coding tools and agentic development workflows, and have views on how a team should standardize around them Can run a technical discussion across teams that do not report to you and leave it with a decision rather than a follow-up meeting Reason about systems you do not own well enough to predict how your changes affect them Prefer influence through demonstrated work over positional authority Preferred qualifications Have worked on business-critical enterprise platforms where financial correctness and auditability mattered Have experience with Salesforce or comparable enterprise platforms, including their metadata and deployment models Have built tooling or agents on top of an enterprise system of record Have operated in a company under audit or compliance constraints 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 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Responsible for planning, designing, optimizing, and assuring end-to-end transport networks supporting 2G, 3G, 4G, and 5G services. Key Responsibilities Develop HLD and LLD solutions for microwave, IP/MPLS, optical, and enterprise transport networks. Perform microwave path planning, link-budget calculations, frequency planning, interference analysis, and capacity dimensioning. Audit transport network capacity, configuration, quality, resilience, and performance. Monitor KPIs such as utilization, throughput, latency, jitter, packet loss, availability, and congestion. Troubleshoot performance issues and provide optimization and capacity-expansion recommendations. Design and validate QoS, redundancy, route diversity, and synchronization solutions. Support rollout, modernization, migration, acceptance, and service-readiness activities. Coordinate with RAN, Core, IP, Optical, and Operations teams. Required Qualifications Bachelor’s degree in Telecommunications, Electrical, Electronics, Computer, or related Engineering. Strong knowledge of 2G/3G/4G/5G transport architecture, including fronthaul, midhaul, and backhaul. Experience in microwave and mobile transport planning and optimization. Proficiency with Ellipse, Atoll, Pathloss, or similar planning tools. Good knowledge of TCP/IP, Ethernet, VLAN, MPLS, routing, QoS, and traffic engineering. Hands-on experience with transport NMS/EMS and RAN OSS platforms such as NCE, NSP, ENM, NetAct, or iMaster. Knowledge of microwave, routing, switching, optical transport, SyncE, PTP, and NTP. Experience in GIS, KPI analysis, time-series data, probes, and benchmarking tools. Strong analytical, troubleshooting, communication, and reporting skills. Fluent in written and spoken English. Preferred Knowledge of RAN and Core Networks. Experience in forecasting, anomaly detection, automation, Python, SQL, Power BI, or Grafana. Relevant Cisco, Juniper, Nokia, Huawei, or Ericsson certification.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role GTM Systems builds and operates the platform Anthropic's sales and partner teams run on: Salesforce as the core, plus the lead, marketplace, integration, and AI tooling that connect to it. The team is organized into experience pods, each owning one stage of the seller and partner journey. We're hiring a Technical Program Manager to own program delivery for the GTM systems portfolio. You'll drive roadmap execution, manage the dependencies spanning the seller and partner journey, from lead capture and routing through the core selling motion to marketplace and co-sell tooling, Responsibilities Own delivery for your program area's roadmap: intake, prioritization, sequencing, status, and the operating cadence Manage your program's dependencies on the shared GTM platform Partner with Business Systems Analysts on requirements and design, and with developers on technical tradeoffs, build-vs-buy calls, and vendor evaluation Help build the operating model for a team that's scaling: intake, planning, and sequencing practices that hold up as the portfolio grows Give GTM Systems and Sales leadership a clear view of your program's commitments, risks, and progress Help bring Claude into the GTM workflow where it makes sellers and partner managers faster You may be a good fit if you Have 6+ years of technical program management or business systems delivery experience, with a track record of owning a roadmap end to end Have worked in or close to a Salesforce-centric GTM or RevOps systems org and understand how lead, opportunity, partner, and quote objects connect Have managed delivery where multiple teams ship into one core system on a shared release process Have partnered with audit, controls, or compliance functions on revenue-impacting systems work Can build trust with business systems analysts, developers, sales operations, and finance, and translate between them Are comfortable driving outcomes across teams that don't report to you Are genuinely curious about how AI changes GTM operations and willing to experiment Strong candidates may also have Experience with one or more of: lead routing and scoring platforms, marketplace and co-sell tooling, CPQ, partner relationship management Background in RevOps, sales systems product management, or business systems analysis Experience standing up release management or CI/CD for a Salesforce org Familiarity with SOX ITGC or revenue controls Deadline to Apply: None. Applications are reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 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: Norwalk, Connecticut, United States Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham is seeking a Financial Planning Manager to join our Corporate Accounting, Trading Services group, who will report to the Managing Director of Corporate Finance. The ideal candidate possesses a strong finance and analytical mindset. The candidate should be detail oriented and highly organized to manage several functions including trader compensation and financial planning/forecasting. Responsibilities Maintain and administer trader compensation database Calculate trader compensation on a monthly and annual basis Support monthly financial reporting and planning initiatives, as well as ad hoc projects Collaborate with Corporate Accounting team and auditors to complete year end audits for domestic and international entities Requirements 4+ years of relevant finance/accounting experience within a hedge fund, including responsibility for trader compensation, financial reporting, and analysis Bachelor’s degree in finance and/or accounting Strong analytical and modelling skills to effectively breakdown and map out legal compensation agreements Strong communication skills, both verbal and written, to effectively and succinctly present relevant data and issues Competent technology and data knowledge base to efficiently extract and manipulate data for reporting and analysis A team player with excellent project and time management skills to effectively work with our partners This role requires that all employees commute into our Rowayton, CT office Monday through Friday, and work 8:00 AM to 6:00 PM. Base Salary Range The anticipated base salary range for this position is $170,000 to $215,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future. In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs. Notes: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law. Other Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation. Graham offers health benefits to eligible full-time U.S. employees, including medical, dental, vision, life and disability insurance, as well as other voluntary benefits such as spending accounts (HSA and FSA), and a profit contribution retirement plan.  All employees also receive paid vacation and sick leave.  Benefits eligibility is dependent upon a variety of factors, including employee classification and applicable waiting periods.  Benefits are subject to change and may differ for non-U.S. roles.

Location: Europe / Asia Workplace: remote About the Company Born from groundbreaking research at Columbia University and Yale University, CertiK is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting-edge security research, formal verification, and AI-powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end-to-end security solutions including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem. Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation. About You You are a detail-oriented self-starter with a strong interest in regulatory compliance, digital assets, and AI. You are comfortable researching unfamiliar regulatory topics, organizing complex information, and producing clear first drafts. You are eager to learn how licensing applications and compliance reviews work in practice and can support both structured audit requests and fast-changing client-facing needs. About the Role You will support the Engineering team in regulatory research, licensing analysis, AI output review, and client-deliverable preparation. You will work with client-facing teams, compliance reviewers, and Engineering to organize regulatory knowledge, prepare initial drafts, and convert recurring compliance work into reusable mappings, templates, and workflows. All material regulatory conclusions and client deliverables will be reviewed by an experienced compliance professional. Responsibilities Research and summarize regulatory frameworks and licensing requirements. Support licensing and regulatory-readiness projects, including applicability research, gap analysis, evidence requests, policy review, and application-document preparation. Organize regulatory requirements into structured modules, evidence categories, checklists, and mappings. Review AI outputs for factual consistency, source traceability, missing information, and formatting issues. Prepare initial drafts of compliance analyses, evidence guidance, client reports, pitch-deck content, and review materials. Support the maintenance of regulation-to-service mappings, evidence checklists, and submission-material reuse mappings. Organize customer-provided materials and identify potential evidence gaps for reviewer confirmation. Record reviewer feedback and update templates, evaluation cases, and compliance knowledge assets. Support coordination and request tracking across client-facing teams, compliance reviewers, and Engineering. Escalate unclear regulatory interpretations and unsupported conclusions to experienced reviewers. Requirements Current enrollment in or recent graduation from a program in law, finance, accounting, risk management, public policy, business, computer science, or a related field. Strong research, analytical, and structured-writing skills. Strong attention to detail, particularly when reviewing regulatory sources, citations, and customer materials. Ability to organize complex information into clear checklists, summaries, presentations, and reports. Ability to manage multiple assignments and meet deadlines. Strong written and spoken English; professional Chinese proficiency is preferred but not required. Interest in digital-asset regulation, financial compliance, licensing, or AI-assisted compliance workflows. Familiarity with digital-asset regulation, VASP licensing, or similar regulatory frameworks is preferred. Previous internship, coursework, or project experience in compliance, law, audit, fintech, digital assets, or regulatory research is preferred. Basic understanding of LLM limitations, hallucination risk, source traceability, and human-in-the-loop review is preferred. This role must be performed outside the United States. We are unable to consider candidates who will work from within the U.S.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity OKX’s Internal Audit function has an early-stage, working AI-native capability: live dashboards, agentic workflows, and AI-powered apps that let a very small team punch far above its weight. Your job is not to rebuild it at today’s maturity. Your job is to take it to a regulator-grade production standard and well beyond , and to drive AI Enablement across the department. You own the products people touch: the real-time dashboards that drive Chief Audit Executive and board reporting , the computer-assisted audit technique (CAAT) and continuous-monitoring surfaces auditors work from, and the agentic, AI-powered apps that make the team faster, and you get auditors to adopt them. You build on the platform’s runtime and harness rather than reinventing them. We hire on demonstrated building , not on claims or credentials. We expect you to be more capable than the hiring manager in your domain: you will co-own and challenge the tooling strategy, not just implement it. This is a two-person engineering team: you deploy, debug, and hotfix your counterpart’s stack when needed. What You’ll Be Doing Environment Cloud on AWS or GCP . Claude as the starting point in a deliberately multi-model architecture: Anthropic, OpenAI, Google, using the right model for each job, including plugins you build. Google Workspace for reporting and evidence. JIRA for the audit team’s workflow. Lark for team communications and alert bots. Today’s executive product ships largely as API-rendered Google Docs/Slides and branded PDF; you evolve that toward real applications without dropping the document standard. React / Next.js front-end, with testing and observability throughout. Treat this stack as the starting point, not a constraint: you build production-grade products end to end on what exists today, and you are expected to propose, prove, and adopt better tools as demand and capabilities evolve. In your first year A live, real-time Chief Audit Executive and board dashboard is in use for actual reporting. CAAT and continuous-monitoring surfaces are used by auditors in multiple real audits, with full-population testing live in at least two audit domains. Agentic, human-in-the-loop applications are part of the team's standard workflow: several in production, adoption measured and growing, and at least two demonstrably cutting cycle times, one in audit reporting and one in a board-cycle deliverable. The hiring manager is out of the delivery loop for dashboards, reports, and rendering pipelines: each has a runbook and an owner who is not him. How we assess demonstrated building We assess demonstrated building in ways that respect your time and your confidentiality obligations to current and former employers: a portfolio deep-dive (walk us through applications you built and kept running, at the level of detail your obligations allow; we want architecture, decisions, and trade-offs, never proprietary code, data, or documents), a short, time-capped build exercise on a synthetic dataset unrelated to OKX's business (a live dashboard with drill-through, used for assessment only, never put to use by OKX, and the work remains yours) that you defend live, walking us through your design decisions and extending it on the spot, a working session on how you drove adoption with non-technical users, and references focused on whether you built and maintained applications in production. Trust and compliance This role handles highly sensitive audit data at a global crypto exchange. Expect background checks, confidentiality obligations, and personal-trading and material-non-public-information restrictions consistent with OKX policy. What We Look For In You 6+ years building and maintaining full-stack web applications in production, owning them over time. Strong engineering fundamentals : data structures and algorithms, fluent Python (or a comparable backend language), and strong SQL and data modeling . True full-stack : from the data layer and SQL through resilient APIs to the UI, wired into the cloud (AWS or GCP). Strong front-end (React / Next.js and TypeScript, with real design and UX sense) and proven real-time / streaming data visualization with drill-through to underlying evidence. Agentic AI features with responsible-AI practice : multi-step workflows, human-in-the-loop review, output validation, red-teaming, and honest handling of hallucination and error. Data protection at the app layer and audit-trail thinking (access controls, evidence, defensible handling), backed by automated testing and documentation. You build applications that could withstand external audit, by design. You ship inside locked-down enterprise environments (TLS-intercepting proxies, endpoint detection and response tooling, restricted installs, security guardrails) without treating security as someone else’s problem. Experience integrating third-party systems ( JIRA , Google Workspace , SaaS APIs) and partnering with non-technical users to drive adoption. Nice to Haves Model tooling across the Anthropic, OpenAI, and Google ecosystems; Model Context Protocol (MCP) integrations and plugin development; agent-based apps. Business-intelligence (BI) and analytics tooling and executive or board reporting, including continuous-monitoring dashboards. Crypto and blockchain literacy; regulated financial-services, fintech, or crypto experience. Document and presentation rendering pipelines: programmatic Google Docs/Slides/Sheets APIs or OOXML generation to an executive brand standard. Much of audit's product ships as board-grade documents, and this is trainable on the job. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $178,000 - $321,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Europe / Asia Workplace: remote About the Company Born from groundbreaking research at Columbia University and Yale University, CertiK is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting-edge security research, formal verification, and AI-powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end-to-end security solutions including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem. Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation. About You You are a hands-on compliance professional who understands how regulatory frameworks and licensing applications work from initial scoping through final submission readiness. You can turn complex regulations into clear guidance and client deliverables, manage both structured audit requests and fast-changing BD needs, and know when an issue requires escalation to senior Compliance or Legal. About the Role You will be the first-line compliance owner for AI outputs and related client deliverables. You will support stakeholder groups including client-facing teams and commercial services. You will turn the raw AI output into accurate and usable deliverables, and work as/with Engineering to convert recurring compliance work into reusable workflows and knowledge assets. Responsibilities Analyze and decompose regulatory frameworks and licensing requirements. Support licensing and regulatory-readiness projects, including scoping, applicability analysis, gap assessment, evidence requests, policy review, application preparation, and remediation tracking. Conduct first-line review of AI outputs for regulatory accuracy, evidence support, source traceability, and client suitability. Convert unstructured requests into clear scopes and deliverables, including compliance analyses, and review reports. Support compliance guidance, evidence checklists, submission-material mapping, and licensing deliverables. Work as/with Engineering to build regulatory mappings, templates, review rules, evaluation cases, and structured AI workflows. Escalate high-risk regulatory interpretations and final legal or compliance conclusions to senior reviewers or Legal. Requirements 3 or more years of Engineering experience in compliance, regulatory consulting, digital assets, fintech, financial services, compliance audit, or a law firm. Hands-on experience with at least 1 licensing application, regulatory registration, or end-to-end regulatory-readiness project. Strong understanding of regulatory analysis, evidence review, and licensing documentation. Ability to produce clear guidance, mappings, presentations, and client reports. Strong client communication and cross-functional project-management skills. Ability to manage urgent and ambiguous requests from client-facing team while maintaining quality. Strong written and spoken English; professional Chinese proficiency is preferred but not required. Familiarity with digital-asset regulation, VASP licensing or similar frameworks is preferred. Basic understanding of LLM limitations, hallucination risk, source traceability, and human-in-the-loop review. This role must be performed outside the United States. We are unable to consider candidates who will work from within the U.S.

Location: Milwaukee, United States Lead Quality. Influence Operations. Grow Your Career. If you're a Quality Manager (with HACCP & SQF certifications) who thrives in a fast-paced manufacturing environment and enjoys building teams, driving continuous improvement, and partnering closely with operations, this opportunity deserves a closer look. Our client is an established, family-owned manufacturer experiencing sustained double-digit growth. They are investing heavily in their people, facilities, and future expansion plans, creating outstanding long-term career opportunities for the right leader. Why This Opportunity Stands Out Multi-year "Best Places to Work" award winner Modern, climate-controlled manufacturing facility Strong employee engagement and internal promotion culture Significant company growth and expansion initiatives underway Highly visible leadership role with direct impact on plant performance The Opportunity The Quality Manager will lead day-to-day quality operations for a 24/5 manufacturing facility serving some of the most demanding consumer brands in the world. You'll oversee a team of Quality Engineers, Technicians, and Inspectors while partnering closely with Operations, Production, Engineering, R&D, and Supply Chain to ensure product quality, food safety, regulatory compliance, and continuous improvement initiatives remain best-in-class. This role is ideal for a leader who can balance technical expertise with strong interpersonal skills, influence cross-functional stakeholders, and successfully navigate a high-volume manufacturing environment. Key Responsibilities Lead and develop a team of quality professionals across multiple shifts Drive GMP, HACCP, food safety, quality assurance, and compliance initiatives Manage customer complaint investigations, corrective actions, and root cause analysis Oversee internal audits, supplier quality programs, and regulatory compliance efforts Maintain and improve ISO, food safety, and quality management systems Partner with production and operations leadership to improve quality performance and reduce defects Analyze quality metrics, SPC data, and process trends to identify improvement opportunities Support continuous improvement projects focused on quality, efficiency, and customer satisfaction Ensure traceability, documentation, product specifications, and quality records are maintained What We're Looking For Quality leadership experience within a regulated manufacturing environment Experience leading quality teams in food packaging, food manufacturing, food ingredients, medical packaging, or similar industries Strong knowledge of GMP, HACCP, food safety systems, and quality management principles Experience with ISO certifications, auditing, corrective actions, and continuous improvement programs Proven ability to influence production and operational stakeholders Strong leadership, coaching, and employee development skills Bachelor's degree preferred in Food Science, Packaging, Engineering, Quality, or a related field

Location: Limassol; Nicosia; Athens Workplace: hybrid The role:   Driven by complex database architectures, automated failover mechanisms, and bulletproof operational resilience? If you thrive on taking ownership of enterprise-grade database systems across multi-cloud and complex on-premises setups, mastering zero-downtime clustering, performance optimization, and large-scale data migrations, this is your next strategic move! Join our team as a Senior Database Administrator and play a key role in architecting secure, highly available DB capabilities, driving our long-term technology strategy, and elevating the reliability of our global infrastructure. The main responsibilities of the position include: Act as primary DBA for enterprise databases (Oracle, MySQL, PostgreSQL, MSSQL, MongoDB) across on-premises and cloud setups Architect and guide configurations for High Availability (HA), Disaster Recovery (DR), and zero-downtime data migrations Research and implement next-gen database technologies, deployment tools, and automation to drive efficiency Partner with InfoSec to maintain top-tier database security, access controls, and compliance auditing Mentor and develop team members through continuous feedback, targeted goal-setting, and personalized growth plans Foster an open, highly motivated team culture built on active knowledge-sharing and creative problem-solving Coordinate daily task distribution to ensure an optimized, well-balanced workload across the DBA team Partner with the DBA Team Leader to set, track, and execute departmental KPIs aligned with corporate goals Collaborate with internal departments to support business-critical projects and infrastructure needs Main requirements: BSc/MSc in Information Technology or any other relevant field Minimum 5 years’ experience in a similar position, preferably in the financial services industry High-level expertise in at least one major engine (MSSQL, MySQL, Oracle, PostgreSQL, or Redshift) and a deep understanding of fault-tolerant, high-availability database architectures Proficient in database tuning, SQL query optimization, and writing Shell scripts to automate operational workflows Strong technical knowledge of Linux and Windows OS, paired with hands-on experience in cloud database platforms (AWS RDS, Azure, or Oracle Cloud) Advanced problem-solving skills with the foresight to identify areas needing security enhancements, system updates, and scheduled maintenance Proven leadership capability to coach, mentor, and develop team members while keeping the team motivated and focused on goals Excellent verbal and written communication skills in English Able to translate complex technical concepts clearly for both colleagues and management Native or fluent English skills with the ability to translate complex technical concepts clearly for both colleagues and management High level of accountability, strong attention to detail, and a self-driven commitment to continuous upskilling and learning Highly organized and adaptable in fast-paced environments, with strong cross-functional coordination skills to build effective internal relationships Benefit from: An attractive remuneration package Private health insurance A corporate pension fund An intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Test your edge – Aptitude / Personality Assessment Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Nicosia Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: With flexible, distributed-first ways of working, you'll have the support to do your best work, wherever you are. As the Lead Identity & Access Management Specialist you will be the primary architect and team leader driving our cloud application security posture. Your mission is to balance business agility with absolute data protection across our sprawling SaaS ecosystem (including M365, Slack, Salesforce, etc). In this role, you will bridge the gap between user enablement and risk management by owning Identity and Access Management (IAM), deploying SaaS Security Posture Management (SSPM) tools to prevent configuration drift, and governing the entire lifecycle of our business applications. Crucially, you will lead, mentor, and scale a high-performing team of IT engineers with a strong security mindset, fostering a collaborative culture rooted in automation and proactive risk reduction. Your Impact: By building and automating robust Identity pipelines: You will design, configure, and maintain our Identity Providers (IdP) using SAML 2.0, OIDC, and OAuth 2.0. You will leverage SCIM to automate provisioning and ensure immediate, airtight offboarding to prevent orphan accounts. By hardening our SaaS posture against configuration drift: You will deploy and manage SaaS Security Posture Management (SSPM) tools. You will establish and enforce security baselines (such as CIS benchmarks) across our key tools, catching unauthorized administrative changes in real time. By governing the security of third-party integrations: You will audit, restrict, and manage OAuth permissions granted to third-party add-ons and AI extensions, ensuring our enterprise data remains inside approved boundaries. By mitigating Shadow IT and assessing third-party risk (TPRM): You will analyze CASB, proxy, and endpoint logs to discover unauthorized SaaS usage. You will partner with Procurement to assess the security profiles of new software vendors by auditing SOC 2 reports, ISO certifications, and CAIQ sheets. By championing technical leadership and team growth : You will build, mentor, and guide a dedicated team of IT professionals. By establishing engineering best practices, leading agile workflows, and promoting continuous learning, you will multiply your impact across the entire organization and cultivate the next generation of cloud security talent. Your Qualifications: Experience: 5+ years of dedicated experience in Cloud Security, IAM Administration, or IT Security Operations, including 1-2 years of experience leading, mentoring, or acting as a technical coordinator for other engineers. Technical Skills: Deep expertise in identity protocols: SAML 2.0, OIDC, OAuth 2.0, and SCIM. Hands-on administration experience with modern IdPs (Okta or Microsoft Entra ID / Azure AD). Scripting capabilities in Python, PowerShell, or Bash to automate security workflows and interact with SaaS APIs. Soft Skills: Exceptional collaboration and communication skills to explain complex security practices to non-technical stakeholders, combined with a pragmatic, problem-solving mindset and proven leadership capabilities to unblock and motivate team members. Standout Qualities: You hold an industry-recognized Cloud Security certification like CCSP or CCSK (Cloud Security Alliance). You hold a specialized identity certification like Microsoft SC-300 or an Okta Certified Professional/Administrator credential. You have direct experience deploying and running enterprise-grade SSPM or DSPM solutions (e.g., Wiz, AppOmni, Reco, or Defender for Cloud Apps). Leadership Excellence: You have a proven track record of designing technical roadmaps, translating business objectives into actionable engineering sprints, and successfully leading a small-to-midsize IT or Security team through complex migrations or infrastructure overhauls. Team Dynamics: Reporting: You will report directly to IT Ops Lead, joining a team that values proactive protection and automated operations. The Neighborhood: You will collaborate daily with IT Operations, HR Ops (for automated onboarding/offboarding workflows), Security, Procurement (for vendor assessments), and departmental leads across the company. Our Work Style: We operate in a highly flexible, remote-friendly, and data-driven environment. We live in Wrike for project management, utilize Okta / Entra ID, and scripting (Python, PowerShell) for API-driven automation. Our Philosophy: We follow a Zero Trust security approach. We believe in securing through smart automation and user education rather than simply "blocking" productivity tools. Benefits & Perks: 25 calendar days of paid vacation Sick Leave Compensation (5 Paid Uncertified Sick Days) Parental Leave: 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) Hybrid Working Model School Allowance (Up to €600/month for school aged kids) Simcard w/ Unlimited Internet Access for active employees Office Lunch Allowance (via Wolt) on Wednesdays / Thursday Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid The role / impact As a Senior Engineer within the Internal AI Accelerator Squad, you will be at the forefront of Xero’s transformation into an AI-native company. You will act as a forward-deployed engineer, embedding yourself within various internal business teams to co-design and operationalise agentic AI workflows that remove manual toil and fundamentally reshape how our people work end-to-end. Your impact extends beyond the code; you will lead the delivery of high-stakes AI agents from discovery to production, while acting as a technical partner and evangelist. By defining the patterns, guardrails, and tooling for intelligent automation, you will create the blueprint that enables the rest of Xero to harness the power of AI safely and effectively. The team / how they connect You will join a dedicated, high-velocity squad focused on boosting the adoption of agentic AI and intelligent automation across the global business. The team connects through a shared mission of rapid experimentation and "vibe-coding," working closely with product owners and SMEs to turn complex, messy workflows into elegant, automated solutions. The team is currently working on / Initially, you will focus on - Designing and iterating on AI agents and workflow orchestrations using tools like Claude, Gemini, and MCP. - Integrating AI systems with core enterprise platforms including Salesforce, Workday, Slack, and NetSuite. - Developing reusable automation patterns and shared templates to be used by the business - Building evaluation and monitoring frameworks to measure performance and ensure the safety of AI-native workflows. Where and how you can work At Xero, we embrace a hybrid way of working that prioritises both flexibility and meaningful connection. You will have the autonomy to work from home, supported by regular boost days in our modern office spaces designed to foster collaboration, brainstorming, and team bonding. Here are some of the things we are looking for - You bring a wealth of experience in building and operating applications or automations within production environments, particularly involving APIs and cloud infrastructure. - Your background includes hands-on delivery of AI-driven solutions such as agents, copilots, or RAG systems using LLMs like Claude or Gemini. - You possess proficiency in programming languages such as Python or TypeScript and feel comfortable navigating SDKs and webhooks. - A systems-thinking approach is part of your toolkit, allowing you to design agents with security, auditability, and controlled blast radius at the forefront. - You have a track record of partnering with non-technical stakeholders to translate business pain points into technical solution designs. - You are a natural coach who enjoys uplifting the AI fluency of those around you through pairing, workshops, and clear communication. COMPENSATION & TOTAL REWARDS At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role, we invest in people. We believe in a Total Package philosophy which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: - CAD $180K – CAD $210K - Plus bonus and equity Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO. Xero also provides eligible employees with Wellbeing leave, volunteer leave, holidays, paid parental leave. Further information included on our Xero Perks page. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: USA - New York From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our New York, NY office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Take high-level direction from product and leadership and independently define and execute the concrete plan to get there Mentor other engineers and raise the technical bar across the Fivetran AI team Contribute to hiring by participating in and helping shape the interview process Skills We’re Looking For 8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. New York Pay Range $196,033 — $245,041.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Take high-level direction from product and leadership and independently define and execute the concrete plan to get there Mentor other engineers and raise the technical bar across the Fivetran AI team Contribute to hiring by participating in and helping shape the interview process Skills We’re Looking For 8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $183,711 — $229,638.75 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: USA - Austin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Austin, TX office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Take high-level direction from product and leadership and independently define and execute the concrete plan to get there Mentor other engineers and raise the technical bar across the Fivetran AI team Contribute to hiring by participating in and helping shape the interview process Skills We’re Looking For 8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $183,711 — $229,638.75 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Take high-level direction from product and leadership and independently define and execute the concrete plan to get there Mentor other engineers and raise the technical bar across the Fivetran AI team Contribute to hiring by participating in and helping shape the interview process Skills We’re Looking For 8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $196,033 — $245,041.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.