Вакансии

Location: San Francisco; New York City Workplace: Hybrid Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious. ABOUT THE ROLE Perplexity is building the AI platform for professional finance: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the market data, filings, transcripts, and research that investment professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured financial data. At the center of this is our Applied AI / Forward Deployed motion: we work closely with buyside firms—hedge funds, private equity, and asset managers—to distill their core investment processes and embed them into bespoke solutions built on our platform. That means sitting with analysts and PMs to understand how they screen, diligence, monitor, and decide, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers. As an AI Strategist on our Applied AI team focused on financial services, you are the subject matter expert who makes this real for investment professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining what to build, demonstrating frontier capabilities against real investment workflows, and driving deployments from first conversation through production and expansion. You are part customer owner, part product strategist, part sales engineer—fluent in both the language of the deal team and the language of the platform. RESPONSIBILITIES OWN STRATEGIC FINANCIAL-SERVICES ENGAGEMENTS - Lead discovery with banks, PE firms, hedge funds, and asset managers: what matters to the investment team, what problems they are solving, and which workflows are worth automating - Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure - Drive deployment and rollout across front-office teams, with real revenue responsibility alongside Sales BE THE DEMO AND TECHNICAL PROOF ENGINE - Build and deliver compelling, workflow-specific demonstrations: screening, comps, diligence, earnings analysis, research synthesis, portfolio monitoring - Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases - Run pilots and evaluations that hold up to scrutiny from skeptical analysts and PMs BRING DOMAIN JUDGMENT TO THE PRODUCT - Translate how deal teams, research desks, and portfolio managers actually work into product, connector, and data-partnership priorities - Assess whether we have the right market data, filings, transcripts, and research integrations to serve each finance sub-vertical—and drive the roadmap where we do not - Codify repeatable engagement patterns: discovery templates, finance-specific reference workflows, demo libraries, and deployment playbooks OPERATE AS THE COMMERCIAL LEAD - Own senior relationships with investment professionals and technology leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close - Create urgency, write crisp follow-ups, and know when to push and when to wait QUALIFICATIONS - 3+ years of direct experience in investment banking, private equity, hedge funds, equity research, or institutional asset management—you have built models, written memos, and lived the workflows you will now automate - 6+ years of total experience spanning finance and some combination of technical GTM, sales engineering, solutions architecture, AI product strategy, or applied AI with customer exposure - Deep fluency in front-office workflows: screening, comps, diligence, earnings, research synthesis, portfolio construction and monitoring - Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested - Comfortable working shoulder-to-shoulder with Forward Deployed Engineers and technical teams: scoping builds together, pairing on prototypes, and translating customer requirements into engineering-ready specs - Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics - Strong commercial instincts and comfort operating with MDs, partners, PMs, CIOs, and CTOs - Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives - High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists NICE-TO-HAVES - Hands-on experience building with agentic systems, tool-use workflows, MCP, or LLM APIs - Working knowledge of institutional data platforms: FactSet, Bloomberg, S&P Capital IQ, PitchBook, Morningstar, or similar - Experience selling or deploying technology into regulated financial institutions, including security and compliance review - Founder or early-startup operating experience - Strong network across buy-side and sell-side institutions If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.

Location: San Francisco; New York City Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious. ABOUT THE ROLE Perplexity is building the AI platform for professional legal work: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the case law, statutes, filings, contracts, and internal documents that legal professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured legal data. At the center of this is our Applied AI / Forward Deployed motion: we work closely with law firms and in-house legal teams to distill their core legal processes and embed them into bespoke solutions built on our platform. That means sitting with partners, associates, and counsel to understand how they research, review, draft, and advise, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers. As an AI Strategist on our Applied AI team focused on the legal vertical, you are the subject matter expert who makes this real for legal professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining what to build, demonstrating frontier capabilities against real legal workflows, and driving deployments from first conversation through production and expansion. You are part customer owner, part product strategist, part sales engineer—fluent in both the language of the practice group and the language of the platform. RESPONSIBILITIES OWN STRATEGIC LEGAL ENGAGEMENTS - Lead discovery with law firms and in-house legal departments: what matters to the practice, what problems they are solving, and which workflows are worth automating - Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure - Drive deployment and rollout across practice groups and legal departments, with real revenue responsibility alongside Sales BE THE DEMO AND TECHNICAL PROOF ENGINE - Build and deliver compelling, workflow-specific demonstrations: legal research, contract review and analysis, due diligence, drafting, deposition and discovery summarization, regulatory monitoring - Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases - Run pilots and evaluations that hold up to scrutiny from skeptical partners and general counsel BRING DOMAIN JUDGMENT TO THE PRODUCT - Translate how practice groups, legal departments, and legal ops teams actually work into product, connector, and data-partnership priorities - Assess whether we have the right research, contract, docket, and document-management integrations to serve each legal segment—and drive the roadmap where we do not - Codify repeatable engagement patterns: discovery templates, practice-specific reference workflows, demo libraries, and deployment playbooks OPERATE AS THE COMMERCIAL LEAD - Own senior relationships with partners, general counsel, and legal-innovation leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close - Create urgency, write crisp follow-ups, and know when to push and when to wait QUALIFICATIONS - 3+ years of direct experience practicing law at a leading firm or in-house—litigation, transactional, or regulatory—or in legal ops / legal innovation with deep workflow exposure; you have run diligence, drafted and negotiated agreements, and lived the workflows you will now automate - 5+ years of total experience spanning legal and some combination of technical GTM, sales engineering, solutions architecture, AI product strategy, or applied AI with customer exposure - Deep fluency in legal workflows: research, contract review, diligence, drafting, discovery, regulatory analysis, and matter management - Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested - Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics - Strong commercial instincts and comfort operating with partners, general counsel, CIOs, and heads of innovation - Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives - High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists NICE-TO-HAVES - JD and bar admission - Hands-on experience building with agentic systems, tool-use workflows, MCP, or LLM APIs - Working knowledge of legal technology platforms: Westlaw, LexisNexis, iManage, NetDocuments, Relativity, Ironclad, or similar - Experience selling or deploying technology into law firms or regulated enterprises, including outside-counsel guidelines, privilege, and security review - Founder or early-startup operating experience - Strong network across AmLaw 100 firms and Fortune 500 legal departments If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a strategic Go-To-Market Recruiter specializing in Applied AI to join our GTM recruiting organization. In this role, you'll focus specifically on building and scaling our Applied AI team - the Pre-Sales architects and technical advisors who help large enterprises successfully integrate and deploy Claude. Working within our broader GTM recruiting team, you'll drive full-cycle recruiting for these critical customer-facing technical roles that bridge our cutting-edge AI technology with real-world business applications. This specialized role requires deep technical recruiting expertise combined with a strong understanding of enterprise SaaS and AI landscapes. You'll collaborate closely with GTM recruiting colleagues while developing targeted strategies for the unique talent needs of our Applied AI organization. You'll help shape how enterprises work with AI systems by building teams that directly influence the safe and beneficial deployment of Claude across industries. Key responsibilities Lead end-to-end recruiting for Applied AI team roles, including Solutions Architects, Pre-Sales Engineers, front-line managers and other customer-facing technical positions Partner with Applied AI leadership and GTM recruiting colleagues to develop comprehensive hiring strategies that align with overall GTM objectives Execute sophisticated sourcing strategies to identify candidates with rare combinations of technical depth, customer empathy, and business acumen Create exceptional candidate experiences that showcase Anthropic's mission and the unique opportunity to shape enterprise AI adoption Build pipelines of talent with expertise in LLMs, cloud architecture, enterprise software integration, and technical consulting Collaborate with GTM recruiting team members to share best practices, market insights, and cross-functional candidate leads Leverage Claude and other AI tools to enhance recruiting efficiency while maintaining high-touch, personalized engagement Provide data-driven insights on compensation trends and talent availability specific to the Applied AI market Minimum qualifications Excel at recruiting for customer-facing technical roles that require both deep technical knowledge and exceptional communication skills Understand the technical requirements of roles working with LLMs, APIs, cloud architectures, and enterprise system integration Thrive in collaborative environments, working seamlessly with GTM recruiting colleagues while managing specialized searches Can effectively assess candidates' abilities to translate complex technical concepts for diverse stakeholders Have a track record of building trusted advisor relationships with technical hiring managers Are passionate about using AI to transform recruiting practices while maintaining a human-centered approach Preferred qualifications Have 5+ years of technical or technical sales recruiting experience, ideally within GTM organizations at enterprise software or AI/ML companies Direct experience recruiting for pre-sales/solutions engineering roles in the AI/ML space Demonstrated success working within GTM recruiting organizations during periods of hypergrowth Expertise in developing specialized recruiting practices within broader team structures Familiarity with the challenges of deploying AI systems in enterprise environments Experience collaborating across recruiting teams to share resources and best practices A technical background or successful track record recruiting for highly specialized technical positions 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: $175,000 — $240,000 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: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. ABOUT THE OBSERVABILITY PLATFORM TEAM The Observability Platform team exists to make production legible to every engineer and AI agent at Wealthsimple, on their first day and every day after. Every request, job, and user action produces a signal, and our job is to turn that signal into a fast, high-cardinality data asset that anyone can question. A business stakeholder investigating a drop in conversions, a service owner tracing a slow endpoint, an engineer validating a release, and an AI agent confirming its own change should all reach for the same data and get an answer in seconds. We treat the platform as a product, and the engineers, service owners, and business stakeholders who depend on it as our partners. Our mission is to build the wide-event data model, the query foundation, and the golden paths that connect people to production data. We instrument on open standards such as OpenTelemetry so switching costs are a configuration change rather than a rewrite, and we optimize for the questions people did not anticipate rather than for pre-built dashboards. As the founding Software Development Manager for this team, you will hire and lead the engineers who build this foundation, and set the technical vision that shapes how Wealthsimple understands its systems for years to come. IN THIS ROLE YOU'LL HAVE THE OPPORTUNITY TO: - Build the wide-event data model at the heart of the platform. Lead an events-first foundation on open standards such as OpenTelemetry, including the schema, SDKs, libraries, and instrumentation defaults that make rich, consistent, high-cardinality telemetry the path of least resistance for every team. - Build the query foundation that connects people to production data, and make it legible to AI agents. Design the columnar or streaming backends, the tagging and context-propagation standards, and the access patterns, including protocols such as MCP, that let a business stakeholder, a service owner, an engineer, or an AI agent ask an unanticipated question and get a fast answer. - Connect production data to business impact. Tie telemetry to client experience and business outcomes through SLOs and user flows, so teams see a problem in the numbers that matter before clients feel it. This is detection framed as a data question, not a wall of machine-state alerts. - Define what observability means at Wealthsimple, set a multi-year roadmap, and align engineering and leadership behind it. - Own the tool and vendor strategy across the observability stack, including how we get the most from Datadog while reducing lock-in and managing cost. - Prove value on pilots. Start with one or two teams to validate the approach before scaling it across the organization. - Hire and lead the team, and own career development, performance management, coaching, and a culture of technical excellence. - Stay hands-on, and move fast with AI coding tools such as Claude Code fluently to prototype, unblock the team, and raise its bar for building with AI. WHAT YOU'LL BRING: - 7+ years in software engineering, with a software development background. You build platforms as software, with the testing, design, and engineering rigor that implies. - Direct, hands-on experience treating telemetry as a data problem. You have designed wide structured events, managed high cardinality, and worked with columnar or streaming backends, sampling, tagging, and context propagation. This is the core of the role. - Direct experience building an observability, telemetry, or production-data platform before, so you are not learning the problem space on the job. You do not need to have built a commercial product such as Datadog or Honeycomb, but you have built the equivalent inside an engineering organization. - A track record of building SDKs and shared platforms in a platform, data, or foundations team. You have shipped the libraries, paved roads, and defaults that other engineers build on, and you treat those engineers as partners. - Fluency with OpenTelemetry or an equivalent, and with SLI and SLO design that ties signals to client experience and business outcomes. - 3+ years of engineering management experience, developing engineers and delivering complex initiatives through both growth and change. - The ability to set a vision, sequence the work, and move engineering and leadership toward it. - Strong people leadership and cross-boundary influence. You grow careers, give clear feedback, build inclusive teams, and build trust with peer managers, senior leadership, service owners, and business stakeholders. NICE TO HAVE: - Experience with columnar stores such as ClickHouse, streaming systems such as Kafka, or query engines built for high-cardinality analytics. - Experience building observability for LLM and agent-based workloads. - Familiarity with self-serve data access, semantic layers, or data cataloging that helps non-experts find and query the right signal. - Experience in a regulated or fintech environment. WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

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.

Location: Istanbul, Turkey P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower mobile operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across more than 87 mobile operators in 60 countries around the world. Being an important part of our Product Design team based in Istanbul, Software Product Design Engineer (Product Owner) are responsible for turning our customers’ network automation and management requirements into solutions. They prototype our telecommunication software products, define their specifications, design their user interfaces and follow up end to end development process. Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide. Job Description: Extract business use cases, do analyze the value, validate studies, and provide a competitive roadmap Conduct presentation/demonstration to the potential customers by providing technical details and value offers about the network management solutions Develop technical specification documents for network management products based on mobile operators’ requirements & needs worldwide Design user interfaces, back-end structure, usage workflow, concept sketches, and high-fidelity wireframes by using design tools Test and validate solutions based on technical requirements and user experience Track issues over Issue Tracking Solutions and keep the knowledge database updated Collaborate with the development, integration, quality assurance, project management and customer support departments to evaluate or diagnose problems and recommend viable solutions. Organize product design reviews meetings with subject matter experts (SME) to validate requirements analysis and proposed solutions Required Qualifications: Having an engineering degree in relevant university departments such as Electrical, Electronics, Communications, Computer, or Software Engineering Minimum 2 years of experience in the mobile telecommunication field Hands-on experience with various mobile network management products including network optimization, planning, self-organized network, geo-location, performance management, configuration management, fault management. Excellent verbal and written communication skills in English is a must Strong product mindset, passionate about experiencing new technologies and applying to business for improvements Understanding fundamental database concepts and good command of SQL is a plus User-experience and user interface design experience is a plus

Location: Ukraine; Poland; Spain; Portugal; Germany; Romania At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Staff Architect (Senior Solution Architect) to join us as part of our team. About the project: PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights /Company profiles / Workflow & efficiency / Many more. Our Tech Stack & Focus Areas Java, Spring, React, Typescript, Apache Beam, Flink, LangGraph, GCP/AWS, K8s Work Environment Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv. As a qualified expert, You will: Translate high-level business initiatives into concrete architectural vision and technical standards, collaborating closely with Product and Engineering to design cost-efficient, scalable solutions that maximize customer value Devise technology and architecture solutions that propel engineering excellence across the organization, simplify otherwise complex problems, and address the “-ilities” (portability, usability, maintainability, scalability, recoverability, availability, extensibility, and security) Author AI-ready solution specifications as a part of the design lifecycle, actively participating in AI-enabled workflows and continuously integrating modern tools into the architectural process Drive system evolution toward well-defined target and transition (interim) states, utilizing robust system diagrams to convey clear, actionable execution paths for engineering teams Describe technical context in intuitive ways for different audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with senior stakeholders Drive system innovation by leveraging AI as a core enabler, prototyping high-impact capabilities to prove technical feasibility and steer future-ready architectural directions Learn constantly, including in available cloud managed services (PaaS/SaaS/IaaS), libraries, frameworks and platforms (commercial and open source) Propose pragmatic, organized, and balanced technical decisions in areas such as build vs. buy, now vs. later, and refactor vs. rebuild Provide and oversees high-level estimates for scoping non-trivial feature Coach engineering teams, grow their level constantly and enable them making high-quality autonomous decision in the software design We’re looking for you if you have 7+ years of hands-on software development experience with strong core engineering principles 3+ years of experience in designing complex software architectures for the multi-stack environment (e.g., Java, C#, Python microservices, data analytical systems, AWS/GCP/Azure) Exceptional written and verbal communication skills, acting as a trusted partner to both Product Management and Engineering - capable of articulating technical vision clearly to any audience while actively listening and synthesizing feedback to refine solutions A strong, disciplined approach to architectural decision-making, systematically evaluating technical trade-offs, risks, and technology pros/cons to deliver resilient, cost-effective platform solutions Proven capability to manage stakeholder expectations, build cross-organizational alignment, and articulate technical trade-offs to business and engineering leadership Practical experience designing data solutions across relational databases, distributed caching, replication, and enterprise search engines (e.g., PostgreSQL, MS SQL, Redis, Elasticsearch) Experience architecting on major cloud platforms (e.g., AWS, GCP, or Azure) using containerization and orchestration technologies like Docker and Kubernetes Prior experience in pre-sales, technical discovery, or solution consulting is considered a strong plus Hands-on experience driving AI enablement initiatives and architecting agentic AI systems (e.g., multi-agent frameworks, LLM orchestration) is considered a strong plus English — Upper Intermediate or higher; Ukrainian — fluent. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview Steps: Interview with the recruiter Technical Interview Manager Interview HR BP Interview Final сlient Interview.

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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Enterprise AI Products team builds what makes Claude a daily-use tool for enterprise customers across industries. We focus on organizational context and workflows (plugins, skills, connectors, webhook-triggered processes / agents). In other words, we focus on products that form the connective tissue that lets Claude operate across an organization. A big part of this work is understanding what's blocking adoption and building the capabilities that close those gaps. Much of this is being built 0→1 right now: you'll be shaping the product and the architecture in a market where no one has done this well yet. You'll be a technical leader who thinks holistically about the end-to-end customer experience, partners directly with research to push model capabilities into production, and carries real ownership over what we ship next. What you'll do Own technical design and delivery for enterprise-facing core products, end-to-end across the stack Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec Set technical direction and standards for your team: architecture, code quality, and how the team builds Work directly with enterprise customers and sales during key conversations, translating what you learn into engineering priorities Work closely with research to make the models better in your domain: shaping evals, surfacing failure modes, and feeding customer learnings back into model development Mentor other engineers and raise the technical bar across the team, working with influence rather than authority Build multi-player, asynchronous agents: department-level processes that are goal-oriented, many-step, and triggered by a webhook, a form, or an email rather than a person typing You may be a good fit if you Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Have led the design and delivery of complex enterprise or B2B products across the full stack Have built AI products and know what it takes to turn model capabilities into applications people actually use Are comfortable working directly with enterprise customers and translating what you learn into technical decisions Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have Experience working with research to improve domain-specific model capabilities, including evaluation frameworks Experience building extensibility surfaces (plugins, integrations, agent tooling) that third parties or internal teams build on Exposure to both product-led growth and direct enterprise sales The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Recruiting Research Scientist to join our People Data Solutions team. You’ll be the research expert supporting our Recruiting organization, using rigorous scientific methods to advance our understanding of recruiting funnels, interview effectiveness, candidate experience, and recruiting capacity. This role sits at the intersection of organizational science, behavioral research, and people strategy – developing novel frameworks and conducting systematic research that drives evidence-based people decisions across our growing organization. This role offers the opportunity to make a significant impact on both our recruiting practices and the broader field of people science at a leading AI safety company. Responsibilities Research design & scientific inquiry Design and execute systematic research studies to answer fundamental questions about recruiting funnel health, assessment quality, candidate experience, and quality of hire Generate and test hypotheses about sourcing strategies, interview design, and selection decisions using rigorous experimental and quasi-experimental methods Conduct mixed-method research to understand what are the drivers and blockers to recruiting operations. Navigate research ethics considerations when studying candidate data, ensuring responsible research practices Selection & assessment research Design and execute validation studies to assess the quality of interviews and other selection tools Utilize psychometric techniques to analyze and improve interviewer calibration and rating consistency Lead investigative research into innovative approaches for candidate assessment Metrics design and governance Design the metrics framework for recruiting org health — defining the canonical KPIs, dimensions, and definitions that leadership uses to understand funnel performance, capacity, and hiring quality Establish the governance and definitional rigor that keeps metrics consistent across tools and reporting surfaces Analytical solution building Architect analytical solutions that convert research insights into actionable products, empowering stakeholders to execute data-driven scenario and strategic planning Quantify the adoption and downstream impact of deployed tools, driving iterative improvements Visualization & communication Build compelling visualizations and dashboards that make complex research findings accessible to diverse audiences Present research findings to senior leadership with clear, actionable recommendations Minimum Qualifications: Hold an advanced degree (Master’s or PhD) in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or a related research field Have experience with selection research, assessment validation, psychometrics, or recruiting funnel analytics Are comfortable working in the People Analytics tech stack and collaborating with data engineers Are proficient in SQL and Python/R, with experience in statistical analysis and machine learning Have experience with data visualization and can tell compelling stories with research findings Possess excellent communication skills and can influence stakeholders at all levels Thrive in ambiguity and can balance rigor with pragmatism Have a track record of challenging assumptions with data and changing long-held practices Can navigate sensitive topics diplomatically while maintaining analytical rigor Demonstrate intellectual humility and comfort with iterative discovery Use data to improve how organizations find, assess, and hire talent Preferred Qualifications: 5 +  years of experience in research, people analytics, or related quantitative fields with demonstrated research methodology expertise Background in recruiting analytics specifically (not just general analytics) Experience running interview or assessment validation studies Experience building self-service analytics tools or dashboards Previous experience in high-growth technology companies or AI/ML organizations Familiarity with network analysis, machine learning, or advanced statistical methods Experience with BigQuery and modern data stack tools Experience with Greenhouse, Gem, ModernLoop, or similar recruiting tools 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: $285,000 — $380,000 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: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Lead People Systems Engineer, you'll drive how GitLab's People systems evolve through an AI-first transformation mindset, putting AI to work across everything we build. You won't just support our people systems, you'll build them: owning the code, pipelines, and integrations that keep GitLab's People automation ecosystem running reliably at scale across Workato, Google Cloud, Claude, Workday, and the tools that power our global workforce. This is a strong fit if you think like a software engineer first, write clean and maintainable code, and thrive at the intersection of people systems, AI, innovation, and automation engineering. In this role, you'll be the technical backbone of our People Technology team, designing, building, and maintaining the automations, agents, and integrations that connect Workday, Greenhouse, Slack, and internal tools. You'll be the go-to technical thought partner for the people group on complex engineering decisions, and your work will compound over time: fewer manual processes, stronger system reliability, and a People technology foundation that scales without friction. What You’ll Do Own the design, development, and maintenance of people system automations and integrations across Workato, Google Cloud Platform, Claude, Workday, Greenhouse and GitLab, writing reliable, well-tested code that runs at scale. Build and maintain integrations between Workday, Greenhouse, Slack, and internal tools using Workday Web Services (WWS) and Slack's API and Bot SDK, diagnosing failures proactively and driving uptime and reliability improvements across the automation stack. Write, version, and maintain automation code in Ruby (or comparable scripting languages) stored in GitLab, with clear documentation, code reviews, and disciplined change management practices. Develop and manage Slack apps and bots that deliver intuitive, automated workflows, reducing friction for People teams and employees across a globally distributed workforce. Move past surface-level requests to diagnose root problems, challenge assumptions, and co-design automation solutions that are durable, scalable, and built to last. Serve as subject matter expert on Workato automation architecture, driving standardization, reusability, and scalability across the People technology integration layer. Maintain and improve CI/CD pipelines and deployment practices for People system automation, ensuring changes are tested, reviewed, and safely deployed using GitLab. Leverage AI tools, large language models (LLMs), and Model Context Protocol (MCP) frameworks, including Claude, to accelerate automation development and identify opportunities to eliminate manual work across the People Group. Provide technical guidance to teammates and stakeholders, proactively communicating context and decision-making, partnering closely with InfoSec, AI Engineering, and IT, and raising the bar for how automations, agents, and integrations are built, documented, and maintained. Exercise independent judgment on methods and evaluation criteria to obtain quality results, leading others by sharing solutions and problem-solving approaches. What You’ll Bring Hands-on experience writing and maintaining code in Ruby or a comparable scripting language (Python, PHP, etc.), you're comfortable in a codebase, write code others can read and maintain, and are willing to learn Ruby if you haven't already. Deep expertise in Workato or a comparable enterprise automation/integration platform, with a track record of building reliable, scalable automation workflows in production environments. Strong experience integrating with Workday using Workday Web Services (WWS), with the instinct to build integrations that are durable, observable, and handle edge cases well. Experience building Slack apps and automations using Slack's API and Bot SDK, with an eye for delivering workflows that actually get used. Proficiency with Git and GitLab for version control, code review, and CI/CD workflows, you treat automation code like production software, not scripts on someone's laptop. Familiarity with Google Cloud Platform (GCP) or AWS; experience with Docker and Kubernetes (GKE is a bonus) for running and maintaining automation services. Experience connecting HR systems including Workday, Greenhouse, and internal tools, with strong instincts for where integration points break and how to keep them reliable. Comfort working with AI tools and MCP frameworks to accelerate development, automate repetitive work, and push the boundaries of what people technology can do. Strong communication skills, you can translate technical architecture into clear decisions and stakeholder updates, and you know when to surface a risk versus just fix it. An engineering mindset applied to people systems: you treat reliability, observability, and maintainability as first-class concerns, not afterthoughts. People system fluency, you understand how HR data flows, why it matters, and how to build automations that handle it with care and accuracy. Intellectual curiosity and a bias for action, you don't wait to be told what's brittle; you find it, frame the fix, and drive it forward. About the team The People Technology team is building the systems foundation that allows GitLab to scale as a global, all-remote company. We don't just keep the lights on, we push the bar on what people technology can do, constantly improving reliability, usability, and intelligence across the platforms that power our People organization. We work across core systems, integrations, automation, and compliance, partnering closely with stakeholders across time zones to move fast, build with purpose, and create an experience where technology enables people to do their best work. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $126,400 — $213,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity The Solutions Engineering team are the customer facing product experts. The team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure that they are happy and successful. We share our technical and product expertise with customers through demos, hands on enablement, presentations, technical evaluations and ongoing interaction. We partner closely with our Sales team to help qualify and close opportunities. The Solutions Engineering team is one of the primary routes of communication from our customers to the Product Management and Engineering teams. A Solutions Engineer is able to really listen to a prospect or customer, understand their requirements, ask the right questions to extract as much information as required and translate all that into a solution with Grafana Labs technology. They are the bridge between the highly technical engineering folks here at Grafana Labs, our customers and our Sales team. What You'll Be Doing Partnering with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers Owning the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility Delivering product and technical presentations to potential and existing customers Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape Driving product conversations based on need and problems with customers Working with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material What Makes you a Great Fit: 5+ years of technical pre-sales experience Be open to various and complex assignments, this will require strong judgment, collaboration, and leadership You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products You love solving technical challenges and thrive on bringing creative solutions to our customers You should have a technical mindset and a desire to grow technically. Must be located in Sweden Bonus Points For: Experience with Open Source technologies, or in the Metrics/Monitoring space is an advantage Experience with sales methodologies like MEDD(P)ICC is a plus Compensation & Rewards In Sweden, the OTE (On-Target Earnings) compensation range for this role is SEK 1,119,000 - SEK 1,400,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity The Solutions Engineering team are the customer facing product experts. The team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure that they are happy and successful. We share our technical and product expertise with customers through demos, hands on enablement, presentations, technical evaluations and ongoing interaction. We partner closely with our Sales team to help qualify and close opportunities. The Solutions Engineering team is one of the primary routes of communication from our customers to the Product Management and Engineering teams. A Solutions Engineer is able to really listen to a prospect or customer, understand their requirements, ask the right questions to extract as much information as required and translate all that into a solution with Grafana Labs technology. They are the bridge between the highly technical engineering folks here at Grafana Labs, our customers and our Sales team. What You'll Be Doing Partnering with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers Owning the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility Delivering product and technical presentations to potential and existing customers Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape Driving product conversations based on need and problems with customers Working with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material What Makes you a Great Fit: 5+ years of technical pre-sales experience Be open to various and complex assignments, this will require strong judgment, collaboration, and leadership You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products You love solving technical challenges and thrive on bringing creative solutions to our customers You should have a technical mindset and a desire to grow technically. Must be located in Spain Bonus Points For: Experience with Open Source technologies, or in the Metrics/Monitoring space is an advantage Experience with sales methodologies like MEDD(P)ICC is a plus Compensation & Rewards In Spain, the OTE (On-Target Earnings) compensation range for this role is EUR 107,000 - EUR 132,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Montpellier, France Workplace: Hybrid We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The team To sustain the company's growth, Ledger is looking for an Engineering Manager to lead the Cloud Wallet team. This team is responsible for the backend services that power blockchain account management, transaction processing, and on-chain data aggregation across all Ledger wallet surfaces, from Ledger Live to the Ledger Enterprise platform. We believe in the power of functional programming to build robust and scalable platforms. We take time to share, challenge, and grow together through bi-weekly knowledge-sharing sessions, meetups, conferences, and open source contributions. What you’ll be doing - Lead and grow your team. Own hiring, onboarding, performance management, and the professional development of your engineers. Run regular 1:1s, support career growth, and build a high-performing, engaged team. - Drive technical delivery. Own the team's roadmap and PI planning commitments. Ensure on-time, high-quality delivery across the team's service portfolio and ongoing architectural initiatives while coordinating across dependencies with Coin Integration, Ledger Enterprise, Ledger Live, and Infrastructure teams. - Maintain operational excellence. Own SLIs/SLOs for team services. Lead incident response posture and observability standards for production-critical systems. - Architect for scale and reliability. Partner with tech leads and staff engineers to drive sound technical decisions on a polyglot stack (TypeScript, Scala) handling high throughput, multi-chain complexity, and strict reliability requirements. Review ADRs and ensure architectural coherence. - Champion engineering practices. Drive strong standards on CI/CD, testing (including end-to-end on testnets), code review quality, technical debt management, and AI-assisted engineering workflows. - Contribute to org-level initiatives. Participate in cross-BU architectural working groups, PI planning, and engineering efficiency programs. You will collaborate cross-functionally with: - The Blockchain platform team for data model alignment, indexing and event streaming - The Coin Integration team for coin module ownership and new blockchain integrations - The Ledger Enterprise team for enterprise wallet features and operational alignment - The Ledger Live / Wallet XP teams as consumers of the team's backend APIs - The Infrastructure and SRE teams for platform reliability and scalability - The Product team for roadmap prioritization and customer-driven requirements - The Security team for vulnerability analysis and compliance What we’re looking for - Proven experience (3+ years) managing backend engineering teams in a product-driven, distributed environment - Strong technical background in backend systems. You can credibly challenge architectural decisions, review design documents, and unblock engineers on hard technical problems - Experience operating services at scale and familiarity with high-availability architectures, event-driven systems, and observability tooling (RabbitMQ, PostgreSQL, Flink, NATS, Datadog or equivalent) - Comfortable with polyglot stacks. The team works across TypeScript and Scala; you don't need to be an expert in both but need enough depth to lead effectively - Track record of navigating complex multi-team dependencies and influencing across organizational boundaries without direct authority - Excellent written and verbal communication skills in English - Bonus points: exposure to blockchain or crypto infrastructure (account indexing, transaction lifecycle, UTXO vs account-based models), and a genuine interest in the Web3 space

Location: Berlin Workplace: Hybrid OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. THE OPPORTUNITY:   As our People Intelligence/Apps Technical Product Manager within the People Strategy & Insights team, you'll be a critical part of developing our agentic enablement platform and responsible for building and shipping the People applications that power how we hire, develop, and grow our team — from workforce planning tools to AI-augmented performance and org design solutions. Reporting to our Director of People Strategy & Insights and collaborating closely with People Partners, Leaders, FP&A, IT, and AI and Platform Engineering, you'll translate complex People domain challenges into elegant, scalable products that make a real difference in how we operate. At Taxfix, we're building an AI-native company — and this role sits right at the heart of that mission. YOUR RESPONSIBILITIES - Develop a deep understanding of the employee as “Builder” concept, and map the requirements different parts of the organisation have to unlock the capability of Engineers and non-Engineers to ship agentic workflows. - Design and implement AI-augmented tools and human-AI collaboration patterns, experimenting with emerging techniques to push the boundaries of what's possible in People operations. - Build, iterate, and continuously improve People applications using no-code and low-code platforms such as Claude Code, Notion, n8n, Google Cloud Apps, and other AI tools — owning the full product lifecycle from concept through delivery and optimisation. - Lead the continued adaption of Product mindset and ways of working across the People function, including the development and on going refinement of the People Products Roadmap. - Translate stakeholder needs into a prioritised People applications roadmap, balancing day-to-day operational demands with longer-term strategic initiatives and a clear build-vs-buy framework. - Build and maintain integrations across the People tech stack — including HiBob, Ashby, Peakon, and Postgres — ensuring seamless data flows, strong data integrity, and reliable automation via n8n. - Lead change management for new applications and features, creating documentation, training materials, and enablement sessions, then gathering feedback to iterate rapidly. - Partner with PSI leadership, People Partners, Workforce Planners, and FP&A, while collaborating with IT and Engineering to ensure all solutions meet IT security and privacy standards. YOUR PROFILE - You bring 5+ years of experience in technical product management or a closely related role, with a proven track record of building and shipping internal tools end-to-end. - You have hands-on experience building with AI tools such as Claude, GPT, or Google AI Studio, and you think naturally about how to design effective human-AI collaboration patterns. - You are a curious PM that is not afraid to challenge the status quo in a pragmatic and constructive way. - You are thinking in systems, understanding the economical aspect of internal processes and products and how those can create value. - You are technically fluent, comfortable working with APIs, webhooks, SQL, and cross-system data flows, and you know when to bring in Engineering versus when to build it yourself. - You have a product mindset: you manage roadmaps, prioritise ruthlessly, and deliver incremental value in fast-paced environments, all while keeping the end user's experience front and centre. - You are highly proficient with no-code and low-code platforms, Notion, n8n, AppSheet, Google Cloud Apps, or similar, and you're comfortable designing data models that support complex business logic and reporting. - Experience in People or HR tech, workforce planning, or org design is a strong plus, as is a background in high-growth startup or scale-up environments where ambiguity is the norm, not the exception. WHY TAXFIX?  - A chance to do meaningful, people-centric work with an international team of passionate professionals. - Holistic well-being with free mental health coaching sessions. - A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. - Employee stock options for all employees—because everyone deserves to benefit from the success they help to create. - 30 annual vacation days and flexible working hours. - A generous learning budget to support your personal and professional development and guidance from our internal L&D experts. - Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. - Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible. - Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions. - Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Learn more about Team Taxfix https://medium.com/taxfix on our blog and get a glimpse of our culture.   At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves. Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.

Location: Australia; Sydney, New South Wales, Australia Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity OKX offers deep liquidity, competitive tiered fee structures, and low-latency infrastructure across spot, perpetuals, and options, built for traders who need scale and speed This is a strategic hire to build and own OKX's HFT/proprietary trading relationships in the Australian market What You’ll Be Doing Providing exposure to digital asset products to your network of traders (proprietary trading groups, high frequency traders, and others), and building this network with OKX's support and resources Developing a strategy to serve traders interested in exposure to digital asset products, including building a pipeline of prospects Managing the sales cycle for traders end-to-end, including working with OKX's: - technical experts to answer product questions; and - business leads to align on commercials for each deal. Taking product feedback from traders, then communicating this internally to support product improvements Negotiating commercial terms with prospects, including fee tier structures, rebates, and liquidity provision incentives Coordinating onboarding of new accounts, including wholesale/sophisticated investor classification, KYC, and legal documentation, working closely with OKX's Compliance and Legal Teams Supporting technical integration conversations (API/FIX connectivity, colocation where relevant) alongside OKX's technical team Representing OKX at industry events, conferences, and trading community gatherings to build and maintain relationships Managing and growing existing accounts post-onboarding, including upselling to higher fee tiers or additional products What We Look For In You Existing relationships with market makers, proprietary trading firms, or trading infrastructure providers At least 4 years of experience in business development or sales: - Ideally, in industries relating to trading (for example: derivatives, CFDs, FX, commodities - with direct client experience at trading firms, proprietary trading groups, commodity trading advisers) - With experience at a regulated exchange, broker, futures commission merchant, order management system, data provider or similar Desire and capability to own a business line in the Australian market for a leading, global digital asset exchange Interest in digital assets and novel financial products and infrastructure Understanding of market microstructure, maker-taker fee models, and how HFTs/proprietary trading groups evaluate exchange venues Familiarity with API- or FIX-based trading relationships (technical fluency not required, but comfort discussing integration requirements) Track record of managing multi-stakeholder commercial negotiations Based in Australia, ideally Sydney 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. 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: Worldwide Workplace: hybrid Watch Specialist Reports to: Shop Manager   Job Description: ·       Promotes a variety of watches and timepieces to guests. ·       Provides advice to guests relating to the onboard watch product range. ·       Meets and exceeds sales target objectives consistently through expert and proven consultative selling skills. ·       Ensures that presentation of products is visually appealing and merchandised in a manner that maximizes sales. ·       Informs guests of special offers, new products and promotions. ·       Assist guests to find the goods and products they are looking for.  ·       Handles guests’ complaints and queries. ·       Processes payments. ·       Ensures items are correctly priced and keeps the shop layout attractive and tidy, in line with the direction of the Shop manager and Heinemann guidelines. ·       Conduct cycle counts, SKU checks and inventory preparation. ·       Monitors stock levels and properly replenishes in a timely manner. ·       Be accountable for ensuring that there is an optimal supply of products and recommend additional inventory when necessary; especially of products that have been identified as “best sellers”. ·       Assists with stock control and inventory management,  including receiving and storing the delivery of large amounts of stock, with an emphasis on asset protection. ·       Reports discrepancies and problems to the supervisor.  ·       Keeps the store tidy and clean, this includes hovering and mopping. ·       Keeps up to date with special promotions and putting up displays. ·       Maintains responsibility for the organization of the shop and storage areas, as it relates to shop cleanliness and organization. ·       Prepares to multitask and take on additional duties as needed (including vessel safety duties).    Profile: ·       Fluent in English, oral and written. Ability to speak multiple languages preferred, but not required. ·       High School graduation certificate. ·       At least 2 years’ experience in the Watch Specialist position in a fast pace retail environment. ·       Previous shipboard retail experience highly preferred. ·       Strong customer service, communication and negotiation skills. ·       Knowledge of products and inventory techniques. ·       Ability to stand for extended periods of time and move boxes weighing up to 50lbs.    Length of contract: 6 Months on/ 2 Months off

Location: Москва **Создавай архитектуру AI-агентов будущего в Сбере.** Мы строим систему управления операционными рисками экосистемы Сбера на основе агентного ИИ. Если тебе тесно в роли просто сильного разработчика, а хочется вести за собой команду единомышленников, реализуя проекты уровня Enterprise — тебе к нам. Мы ищем человека, который готов сочетать в себе лучшие качества разработчика, исследователя и наставника. Ты будешь не просто писать код, а определять техническое направление развития продуктов, которые влияют на безопасность и эффективность крупнейшего банка страны. Обязанности * **создавать с нуля:** Разрабатывать AI-агентов на базе GigaPlatform и других open-source LLM, которые потом пойдут в промышленную эксплуатацию * **тьюнить LLM:** Адаптировать и дообучать наши собственные LLM (Prompt Tuning, LoRA, SFT, GRPO), делая их умнее на наших данных * **лидировать:** Вести за собой команду из 4 сильных DS. Не просто распределять задачи, а участвовать в их росте, Code Review и формировании инженерной культуры * **внедрять:** Участвовать в выводе агентов в продакшн и создавать библиотеки, которыми будут пользоваться другие команды * **работать на мощном железе:** 8–16 A100 80 GB * **технологический стек:** vLLM, ollama, llama.cpp, LangChain, LangGraph, Transformers, PyTorch Lightning. Требования * опыт в DS от 2 лет * **математическая база:** Высшее техническое образование с глубоким пониманием алгоритмов и структур данных * **экспертиза в ML/DL:** Опыт обучения нейросетей (от классических RNN до трансформеров) * **мастерство RAG:** Ты знаешь разницу между классическим RAG, GraphRAG и Agentic RAG, и понимаешь, где и что применить * **писать хороший код:** Соблюдать принципы Clean Architecture, SOLID, поддерживать Git Flow * **будет крутым плюсом:** Опыт в соревнованиях (Kaggle Expert+). Условия * комфортный современный офис рядом с м. Кутузовская * гибридный / удаленный формат работы * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера