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Location: Home Based - Americas; Home Based - APAC; Home based - EMEA; Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are expanding our sales and field engineering teams globally, including our sales development representative (SDR) teams. Our SDRs and BDRs are typically outstanding graduates from STEM fields who would like to join the software industry and are starting their sales career at Canonical. We are hiring Regional SDR Directors to run our inbound and outbound teams across AMER, EMEA, and APAC. Our goal is not only to manage inbound leads for a global tech company, but also to develop outstanding sales professionals with high integrity, high empathy and a rigorous work ethic. Our sales development organisation is therefore also a sales academy, and as such, we are looking for Regional SDR & BDR Directors who take a strong interest in the development of skills and the establishment of culture across AMER, EMEA, and APAC. You will enjoy this role if you are organised, persistent, analytical, hard-working, and care to ensure that smart and ambitious people learn and develop the skills they need to represent you and the company in outstandingly well over the course of their career, both while they are on your team, and as they move onward to more senior sales and alliances positions. You should be determined to grow your own skills as well as those of your team, and enjoy learning about new technologies. Canonical is fortunate to represent the vast wave of open source innovation, which means it has a large and rapidly growing range of solutions it can deliver to customers, and ample opportunity for all of us to learn about new kinds of tech, or specialise in fields we enjoy the most. You should also be open to innovation, and experiment with new outbound approaches to adapt to changes in the market. In this role your primary objective is to direct regional SDR & BDR managers and teams across AMER, EMEA, and APAC, and maintain a multi-million dollar pipeline. We value Excellent academic results at school and university Bachelor’s or equivalent degree in Business or STEM Knowledge and passion for business development, sales and technology Track record of bringing exceptional outbound sales development results Commitment to continuous learning and improvement - curious, flexible, scientific Creative problem solving and cross team collaboration Leadership experience of one form or another Able to use data to drive team activities and continuous improvement Multi-regional strategic vision tailored to AMER, EMEA, and APAC market dynamics Track record of recruiting, mentoring, and developing SDR Team Managers (leading leaders) Cross-functional alignment with Regional Sales VPs, Marketing, and Field Engineering Expertise in leveraging modern sales tech stacks and CRM analytics for predictable pipeline forecasting Scalable talent pipeline management to feed senior sales and alliances positions across all three regions Experience driving accountability and culture across asynchronous, remote-first global teams Over the last few years, this team has trained dozens of talented tech sales professionals who now work at Canonical and across the industry. Meet some of the SDRs who have graduated from our tech sales academy . What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Europe and Americas Time Zone (UTC -05:00 ~ UTC+3:00) Workplace: Remote ✨ Where do we hire from? Find out more about hiring at TestGorilla https://docs.google.com/document/d/1bzBZ38P6zt02s96S9OsF8MnM1tq1JccB-g75gcnKpPw/edit?tab=t.0#heading=h.s4l5faueua5w 💡 This role requires deep Google Ads expertise. Please note that this is an absolute requirement. If Google Ads isn't your passion and honed skill, please don't apply! Hi there, I'm Mehak, interim Head of Marketing at TestGorilla. We’re excited to share more about the Sr. Demand Generation Manager role and our team. ABOUT TESTGORILLA At TestGorilla, we’re on a mission to place 1 billion people in their dream jobs. To democratize opportunity, we are building the world’s leading skills-based talent discovery platform - one that replaces reliance on resumes with scientific validation of what people can truly do. Founded as a 100% remote company in 2020, our global team is united by high standards, a lot of heart, and a relentless drive to conquer new technological frontiers. We are AI-fluent builders who care deeply about replacing bias with fairness. After empowering thousands of companies to hire smarter and faster, we are now unlocking the next phase of our scale-up journey - where you’ll play an instrumental role in creating a world where skills matter most! ABOUT THE ROLE As our Sr. Demand Generation Manager, you'll be essential in achieving TestGorilla's vision of helping one billion people land their dream job. You'll own our largest acquisition lever, a multi-six-figure monthly Google Ads investment, along with the lifecycle, enrichment, and website systems that turn that spend into revenue. This isn't just a role, it's your chance to make a real difference by proving, with data, that every dollar of spend becomes pipeline. You'll directly contribute to sustainable, cost-efficient growth as TestGorilla scales. RESPONSIBILITIES In this role, your responsibilities will include but not limited to: - Upholding TestGorilla's behaviors and fostering an inclusive, supportive culture. - Owning the demand generation number across paid and organic channels, including managing and scaling paid spend across Google Ads (Search, Performance Max, Display, YouTube) and adjacent channels, while testing and developing emerging acquisition opportunities such as advertising on ChatGPT and other AI-native platforms. Setting the channel mix, budget allocation, and account structure required to hit MQL, SQO, and pipeline targets. - Building and owning source-of-truth reporting across paid and organic funnel performance, including SQL, dashboards, attribution modeling, and incrementality testing, so channel investment decisions are backed by evidence rather than platform screenshots. - Owning the roadmap for paid landing pages, ad creative, and offers, and running rapid A/B tests to lift conversion with proper statistical rigor. - Designing and owning automated nurture workflows and enrichment infrastructure (n8n, Make, HubSpot, Clay) so paid-sourced leads convert, and feeding that data back into targeting and ICP decisions. - Partnering with Sales and RevOps on lead quality and conversion by campaign, and presenting performance and recommendations to marketing and GTM leadership in clear, business-first language. - Staying ahead of advertising platform, AI ecosystem, and privacy changes, and turning successful tests into repeatable, automated systems rather than one-off wins. WHAT YOU’LL BRING We're looking for someone who: - Is passionate about TestGorilla's mission to help one billion people find their dream jobs. - Has excellent written and verbal communication skills in English. - Thrives in a fast-paced, async-first, remote-only environment. - Has proven experience in performance or growth marketing, including hands-on ownership of a Google Ads budget of at least six figures per month (B2B SaaS strongly preferred), and a track record of scaling spend while holding or improving CAC and ROAS. - We typically expect 7+ years of experience in performance or growth marketing to have developed the core skills necessary for this position. But it may be more or less than that, according to your career journey so far. - Has deep expertise across the Google Ads stack, including Search, Performance Max, Display, YouTube, Smart Bidding, conversion tracking, and Google Tag Manager. - Working knowledge and hands-on expertise of Clay, HubSpot (or a comparable CRM) and GA suite. - Has a solid grasp of funnel and unit economics (CAC, LTV:CAC, ROAS, payback period, cohort analysis) and comfort with experimentation design, including significance, sample sizing, and reading results honestly. - Has hands-on experience using AI/LLM tools (Claude, ChatGPT, or similar) to build real growth workflows, from lead scoring to automation logic, not just surface-level use. - Has an ownership mentality: treats this budget like their own P&L, ships the workflow, dashboard, and test themselves, and is comfortable with ambiguity and fast iteration as pipeline needs shift. We seek diversity and encourage applications from everyone. Studies show that women and underrepresented groups can be hesitant to apply unless they meet every requirement. If you're interested in this role but your experience doesn't perfectly match the description, please still apply. BONUS SKILLS While these skills aren’t a requirement, we’d be very interested to hear from you if you have: - Experience managing an agency or freelancers alongside in-house execution. - Exposure to PLG or hybrid PLG/sales-led GTM. - Experience presenting to VP/C-level stakeholders on performance and budget. - Experience owning SEO or content-led demand generation programs alongside paid channels. - Has strong working SQL, fluency in GA4 and at least one BI tool WHAT’S IN IT FOR YOU? Please note: Some specifics, particularly around leave, may vary depending on your country of residence. This will be discussed during the hiring process. - Global Team: Join a fully remote, mission-driven team from around the world - Competitive compensation: Receive a competitive pay (€65,650-€84,500 per annum) + Share Appreciation Rights (SARs) - Remote & flexible work: Work from almost anywhere*. Enjoy flexible hours and asynchronous work to balance work and life. * Check out the countries we currently hire from here https://docs.google.com/document/d/1bzBZ38P6zt02s96S9OsF8MnM1tq1JccB-g75gcnKpPw/edit?usp=sharing - Remote work budget: €1,000 available each year or up to €2,000 from day 1 if you're buying a laptop! - Growth & development: Invest in yourself and your career with a 3.5% L&D budget per year and clear growth opportunities - Parent/Caregiver support: We provide a caregiver-friendly work environment with paid 8-16 week parental leave and tailored return-to-work approaches - Work-life balance: Our unlimited and flexible time off policy empowers you to take the time you need to recharge and maintain your well-being INTERESTED? At TestGorilla, we believe your skills speak louder than your resume. That's why we champion a skills-first approach, using cutting-edge, AI-powered assessments to uncover your true potential. Forget traditional biases; we're building the world's largest skills-tested talent pool, making hiring fairer, faster, and smarter for everyone! When you apply, you'll get to experience our platform firsthand by taking an assessment – it's your chance to shine and show us what you can do! While our platform is powered by AI, every hiring decision is made by humans, ensuring a truly unbiased and thoughtful process. Check out our Applicant Privacy document https://docs.google.com/document/d/1-9ao3Njzsdjm_jzrExZzPRVGgBdW3C_GP3B900p6RwE/edit?usp=sharing to see how we protect your data. We're passionate about building diverse teams where every voice is heard. We genuinely welcome applicants from all backgrounds and experiences. Concerned about test anxiety? We've got you covered. Accommodations are readily available as part of the assessment setup, and requesting support will never impact your application.

Location: Oakland, California, United States About the Job: LaunchDarkly is looking for a Senior Developer Advocate based in the San Francisco Bay Area. The developer community is deciding right now what the AI era of software looks like, and much of that conversation happens in person: meetups, demo nights, hackathons, and hallway conversations across the city. You'll own our Bay Area presence: which rooms we're in, how often we're there, and what we do with what we learn. That means being in those rooms consistently, as a genuine participant: building long-term relationships with the practitioners shaping how agentic software gets built, bringing their signal back to LaunchDarkly, and showing them, credibly and only when it's relevant, how runtime control changes what they can ship. It's a role for someone who would be going to these events anyway. Responsibilities: Show up consistently : attend Bay Area developer events several times a week (meetups, demo nights, hackathons, conferences), building real relationships with AI and platform engineers over months, not transactions over days Listen more than you talk : bring back structured signal on what practitioners are building, where they're stuck, and how they talk about agents, releases, and runtime control Demonstrate, don't pitch : build and show small, credible demos on AgentControl and the LaunchDarkly platform, and hold your own when the technical questions get hard Add to the conversation : write event recaps and practitioner-grade content that people in the community actually want to read, rather than broadcasting at them Earn the right to convene : over time, organize gatherings around problems developers actually have, not around LaunchDarkly as a brand Feed the team : route relationships, signal, and opportunities to the owners who can act on them, with enough context attached to act What Success Looks Like: LaunchDarkly has a consistent, welcome presence in the rooms where the AI developer conversation is happening, and you decided which rooms those are Organizers invite you to speak rather than fielding our pitches, and practitioners seek you out at events Your recaps get shared by people who weren't in the room, and your content draws an audience without paid distribution What you bring back changes decisions: a play gets adjusted, positioning gets sharpened, a docs gap gets prioritized because of what you surfaced You've killed or redesigned at least one part of your own plan based on the evidence, and told us afterward Over time, you're convening gatherings developers attend for the problems on the agenda, and increasingly because you're the host Qualifications: Experience in developer advocacy, community, solutions engineering, customer success, or another customer-facing technical role Based in the San Francisco Bay Area, with the ability to attend events in person several times a week, including evenings Technically credible: you can build and demo real things and hold a deep technical conversation without a script Already active in, or genuinely drawn to, the AI developer scene A strong written voice: your recaps make people who weren't in the room feel like they missed something Bonus if you have: An existing network in the Bay Area developer community Experience organizing meetups or developer events Familiarity with feature management, experimentation, observability, or agent frameworks Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $ 152,000 - $210,000 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $ 137,000 - $189,000 ** Zone 3: All other US locations - $ 129,000 - $178,000 ** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Home Based - Americas; Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Canonical builds the open-source software that runs the world’s clouds, devices and AI, and we hold our managers to a high standard. Our Talent Development team exists to make leaders and managers at Canonical genuinely excellent. We define what great management looks like here, and we bring managers and leaders up to that standard through direct, hands-on work, both from the centre and embedded inside engineering and commercial organisations. As a Senior Organisational Development Practitioner you are the person who sets the bar for how coaching and organisational development is practised here. You coach leaders to a clear standard of management excellence. You diagnose how a whole organisation is led and drive the plan to raise it. You develop the practitioners working in the field. It is one of the most senior and demanding Talent roles at Canonical: hands-on coaching and organisational-development craft with real leaders, in a company that expects you to be credible in a room of directors and to earn that credibility fast. You work both from the central team and embedded inside a leader's organisation for periods, turning what you learn in the field back into how we develop leaders and managers across Canonical. Location: These are remote based positions, available across EMEA and the Americas. What you deliver Raising individual leaders Coaching leaders to visibly raise their game against a clear standard of management excellence. Landing the hard conversations, because you coach leaders to make them happen. Turning 360 feedback into real, followed-through commitments, not a report that gets filed. Lifting organisations and the company Leaving an organisation you take on visibly  better led, off a sharp first-weeks diagnosis and a plan you own and drive. Contributing to defining and implementing new ways of working across our globally distributed company. Building the function and its standards Developing the practitioners in the field so they get visibly better at their craft under your supervision. Setting the bar for how coaching and organisational development is done at Canonical: owning what exceptional looks like, proving the methods in the field, and holding the practice to them. Sharpening the management-excellence standard itself across Canonical, by feeding back what you learn in the field. What we are looking for in you Deep, hands-on coaching and organisational-development practice with real leaders and teams, not just programme design. A track record of measurably changing how leaders behave, with specific examples you can talk through. Credibility: you can walk into a room of directors and be taken seriously. Effectiveness operating inside someone else's organisation without formal authority. A clear and honest philosophy of development: you know where coaching helps, and you are candid about where a role or fit decision is the right call. An exceptional academic track record from high school and university. Excellent written and spoken English. Sincere personal motivation aligned with our mission. Willingness to travel up to 4 times a year for internal events. In addition we expect that you will match our values, by being: Precise, taking care to deliver correctness and clarity. Reliable, delivering high quality work that builds trust and confidence. Accessible, collaborating to build products and systems that are usable. Adroit, blending enthusiasm, knowledge, adaptability, style and character. Nice-to-have skills A management-consulting background: comfortable with ambiguity, able to diagnose, propose and move. Experience coaching across a distributed, fast-moving, technical organisation. Experience building competency or development frameworks. Experience designing and running effective workshops or training sessions, in person and online. Learning-design judgment for development materials. We want the design sense; AI handles the production drafting. Talent-development experience, valued alongside but secondary to coaching and consulting craft. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are seeking a hands-on Director of AI Enablement to identify high-value business problems, deliver AI solutions in real operational environments, and turn proven approaches into reusable enterprise capabilities. The role combines the business immersion and problem discovery of a Deployment Strategist , the technical delivery capability of a Forward-Deployed Engineer , and the product judgment required to standardize successful solutions. You will work directly with teams such as Compliance, Legal, Risk, Customer Service, Operations, and GBS, in partnership with Product, Engineering, Data, Security, and Infrastructure. Success is measured by business impact and sustained adoption—not the number of pilots launched. What You’ll Be Doing 1. Find and Prioritize High-Value Problems Embed with business teams and frontline users to understand their workflows, decisions, data, constraints, and pain points. Separate root causes from symptoms and determine whether the right answer is process redesign, better data, automation, AI, or a combination of these. Prioritize opportunities based on business value, user reach, risk, feasibility, time-to-value, and reuse potential. Translate ambiguous needs into clear problem statements, target outcomes, success metrics, and executable plans. 2. Build and Deliver Solutions Define the minimum valuable product and rapidly validate it with real users and data. Personally prototype solutions such as copilots, agents, workflow automations, and internal tools. For larger or higher-risk initiatives, partner with Engineering and Data teams on architecture, integrations, security, reliability, evaluation, and production readiness. Own delivery from discovery and prototype through launch, adoption, measurement, iteration, and handover. 3. Drive Adoption and Business Impact Design solutions with users and adapt workflows based on real operational behavior. Lead pilots, enablement, training, and change management required for sustained adoption. Track outcomes such as time saved, cycle-time reduction, quality improvement, risk reduction, cost avoided, and active usage. Ensure every initiative has a business owner, an adoption plan, and a sustainable operating model. 4. Productize and Scale What Works Identify recurring workflows, data needs, integrations, and governance requirements across teams. Convert successful deployments into reusable components, templates, reference architectures, or configurable products. Decide when a need should remain bespoke, use shared components, or become a standardized product or platform capability. Build practical playbooks and standards for opportunity assessment, prototyping, evaluation, productionization, and impact measurement. Feed field learnings into shared Product and Engineering roadmaps, reducing duplicated and one-off solutions. What We Look For In You 4+ years of experience across product management, technical delivery, solutions engineering, enterprise transformation, consulting, or software/data engineering. Demonstrated ability to uncover high-value problems through workflow observation, data analysis, and stakeholder engagement. Hands-on experience building and shipping AI, data, or automation-enabled solutions used in real operational workflows. Strong product judgment, including prioritization, MVP definition, trade-off decisions, rapid validation, and avoidance of over-engineering. Sufficient technical depth to prototype independently and work effectively with Engineering on data, integrations, architecture, security, evaluation, and reliability. Working knowledge of LLMs, RAG, agents, tool use, prompt design, evaluation, observability, and human-in-the-loop systems. Experience turning bespoke business needs into reusable products, shared services, or operating standards. Strong communication and stakeholder-management skills across frontline users, technical teams, and senior executives. High ownership and comfort operating in ambiguous, fast-changing environments. Nice-To-Haves Experience in fintech, crypto/blockchain, financial services, or another regulated industry. Experience working with Compliance, Legal, Risk, Customer Service, Operations, or other non-engineering functions. Experience with enterprise data platforms, knowledge systems, agent frameworks, workflow orchestration, or MCP-based integrations. Experience leading an AI enablement function, forward-deployed team, internal product incubator, or multidisciplinary delivery team. Familiarity with Lark/Feishu and enterprise internal-tooling ecosystems. Expected Outcomes Within the first 6–12 months, the successful candidate will be expected to: Establish a repeatable approach for identifying and prioritizing high-value AI opportunities. Deliver production use cases with measurable operational impact and sustained adoption. Create clear ownership and decision paths from prototype to production, scale, handover, or stop. Turn selected deployments into reusable capabilities adopted by multiple teams. Build a network of business champions and technical partners capable of scaling AI adoption across the organization. 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! 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: 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: United States; Spain; Hungary; Europe; New York; Germany; Switzerland; Denmark; Sweden; Poland; United Kingdom; Romania; Netherlands; France Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenReader is our fast-growing consumer audio app, and creative is one of our biggest growth levers. We’re looking for a Creative Producer to deliver creative marketing campaigns, experiments, and to build the creative engine that powers performance marketing across every major acquisition channel. This role sits at the intersection of creative design, AI, and performance marketing. You’ll be our lead creative strategist, producing high-quality creative concepts, building scalable creative workflows using AI tools, developing a testing roadmap, launching experiments across Meta, Google, YouTube, Reddit, and emerging platforms with our Performance Marketing team. You’ll partner closely with Marketing, Design, Growth Analytics, and partner agencies to continuously discover which creative drives acquisition at scale, and feeding these insights back into future creative roadmaps. This is one part strategist and one part creative producer for someone who loves combining exceptional creative taste with rigorous experimentation and marketing results. WHAT YOU WILL DO - Designing creative systems, concepts and templates, mood boards, briefs, and AI workflows that power high-velocity ad production - Create visually-stunning, brand aligned, static ad campaigns end-to-end in Figma and ElevenLabs - Directing agency partners with clear and compelling creative briefs, UGC scripts, storyboards, scripts, and feedback on creative concepts, ensuring the timely and aligned delivery of assets - Creating and launching creative testing programs across Meta, Google, YouTube, Reddit, and emerging acquisition channels with Performance Marketing and agencies - Developing a structured creative roadmap with recurring testing sprints and clear learning agendas - Designing analytical frameworks to identify winning creative patterns using performance data and creative analysis - Researching and mapping creative trends across competitors, consumer categories, and best-in-class mobile apps to generate new hypotheses for testing - Partnering closely with Performance Marketing and agencies to rapidly iterate and scale winning campaigns - Continuously improving our creative production pipeline through AI automation, reusable templates, and scalable workflows - Analyzing which creative is resonating most with our audience through ad platforms and tools like Motion - Raising the creative quality bar while ensuring every asset is designed to maximize measurable business outcomes REQUIREMENTS - 5+ years of experience in performance creative, art direction, growth marketing, creative strategy, or design at a high-growth consumer product or technology company - Deep expertise with generative AI for image and video creation, with a strong understanding of how to build repeatable creative workflows with tools like ElevenCreative - Experience creating high-performing ads across Meta, Google, TikTok, YouTube, or other major paid acquisition platforms - Experience with creative performance analytics tools like Motion - Strong understanding of creative experimentation, performance marketing, A/B testing, and data-driven optimization - Expert proficiency in Figma, CapCut, Adobe Suite and modern AI creative tools and generative media platforms - Exceptional visual taste with the ability to balance speed, quality, and brand consistency - Deep understanding of user psychology and what drives successful consumer marketing - Highly analytical and structured thinker who enjoys building experimentation frameworks and extracting insights from data - Self-directed builder who thrives in fast-moving environments and can independently take ideas from concept to launch BONUS - Power user of ElevenCreative, including Flows and Templates - Background in building AI-powered creative production systems or internal creative tooling - Passion for consumer products, AI, storytelling, and building globally loved brands. LOCATION This role is remote with a preference for timezones in US - East and Europe #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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: 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 The Tech Operations Specialist keeps the field organization's AI tooling running smoothly day to day. You will maintain a clear inventory of AI tools in use across the field, manage an index of use cases and field needs, track adoption and utilization, manage access requests, and keep the underlying data feeding these tools clean and well-organized. This is a detail-oriented, execution-focused role for someone who enjoys bringing order to a fast-moving tool landscape and wants to build a foundation in Tech operations. This role reports to the Vice President, Enablement & AI. What You’ll Do Tool Inventory & Consolidation: Maintain an up-to-date inventory of all AI tools used across the field org, identify overlap or redundancy, and support consolidation efforts to reduce tool sprawl. Tool Adoption & Use Case Index: Formalize a library of field-adopted and -requested use cases for our AI tools, in coordination with the AI Transformation Owner, CRO. Utilization & Tracking: Monitor usage of AI tools across teams, build simple reporting to track adoption trends, and flag underutilized or underperforming tools to stakeholders. Comms & Enablement: draft internal announcements for tool rollouts and create micro-enablement programs to engage the field in AI tools. Tool Access Requests/Management: Own the intake and processing of access requests for AI tools, ensuring provisioning is timely, accurate, and aligned with licensing and approval requirements. AI Data Management: Support the organization, quality, and hygiene of data used by or generated from AI tools, working with relevant teams to keep gDrive/datasets accurate and properly maintained. What You’ll Bring Early-Mid Level Experience: Some experience in enablement, sales/business operations, IT operations, or a similar coordination-heavy function; comfortable owning recurring operational processes. Organized & Detail-Oriented: Strong attention to detail with the ability to track multiple tools, requests, and datasets simultaneously without things falling through the cracks. Interest in AI Tooling: Genuine curiosity about AI tools and platforms, with willingness to learn the technical basics of how they're configured, accessed, and maintained. Act as an advocate for AI Adoption and best practices in the field. Process-Minded: Comfortable following and improving structured processes (intake forms, access workflows, tracking dashboards) rather than needing to build strategy from scratch. Collaborative: Able to work with enablement, IT, and field stakeholders to gather requirements and resolve access or data issues efficiently. Data Comfort: Basic comfort working with spreadsheets, dashboards, or simple data tools to track utilization and maintain data quality. GitLab Values Alignment: Ability to work in an all-remote, asynchronous environment, leaning heavily on transparency and collaboration as defined in the GitLab Handbook. About the team The Enablement & AI function is part of the CRO organization. Enablement is instrumental in helping GitLab grow at a more accelerated pace and achieve our ambitious revenue targets. The enablement organization comprises enablement leads serving the CRO business functions, a centralized content group, AI tech resources, and an operations team. 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 $95,200 — $160,800 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 .

Workplace: none About us At Praktika.ai , we're on a mission to deliver efficient and engaging learning experiences for billions of students worldwide by bridging the gap between learning apps and human tutors. We've done this by building a fully automated language tutoring experience powered by generative AI avatars. After raising $30 million in Series A funding, we're growing and looking for a Creative Strategist to join us. We're a small, global team pushing the boundaries of what's possible in language learning. We like independent self-starters who work well in a team and on their own, and who enjoy the pace of an early-stage startup. About the role You'll join our creative team, reporting directly to our Creative Manager. This is a strategist and producer role. You'll own our paid creative from first idea to live test: what we make, how good it is, and making sure every piece gets shipped and tested. You'll run all production across UGC, AI video and statics, and work closely with UA and media buyers to learn from the results. This is a performance role first, not a design role. You'll be judged on what the creative does in-market, not on how it looks. You don't need to be a media buyer, but you do need to understand UA well enough to make creative decisions from the numbers. What you'll do Ideas and strategy Own the creative ideas behind our paid campaigns across web, web-to-app and app (iOS and Android) on Meta, TikTok, Google, Apple Search Ads, AppLovin and Snapchat Turn performance data, competitor ads and audience research into the next round of concepts Test hooks, angles and formats, each with a clear hypothesis, and feed the results back into briefs Production and quality Own all creative production: UGC, AI video and statics Write briefs for designers and UGC creators that spell out the angle, audience, references, models, tools and specs, so nobody has to come back with questions Specify the right AI model for each shot. Different models win at different things, and you'll know which one to call for. Hold the quality bar and keep the brand consistent across everything that ships Full cycle, brief to test Take every creative from brief through production to a live test Work with UA and media buyers on test structure and on what to scale or kill Read the results across the full funnel (hook rate, hold rate, CTR, CPM, CVR, CPA, ROAS) and know which metric is misleading you on a given creative Making it faster Build automated processes, prompt libraries, templates and batch pipelines that increase output and cut repetitive work Keep up with new models and bring the good ones into the workflow Document the processes so the team can run them What we're looking for 2+ years in creative strategy for paid acquisition, ideally as a creative manager, creative lead or creative strategist working alongside a performance or UA team Strong creative judgement: you come up with the ideas and hold a high quality bar You've owned creative production end to end, including directing designers, editors and UGC creators You've owned creative against a CPA or ROAS target and can walk us through specific numbers Solid UA knowledge: account structure, testing frameworks, learning phase, creative fatigue, how the algorithm allocates spend, and why a creative with great upper-funnel metrics can still be the worst in the account You understand how channels differ: web vs web-to-app vs app install, iOS vs Android, and Meta, TikTok, Google, Apple Search Ads, AppLovin and Snapchat. You know why the same creative can win on one and lose on another, and how ATT and iOS attribution change what you can read from the numbers. Comfortable in Meta Ads Manager and TikTok Ads Manager AI-native. You know the current video, image and voice models and what each is good at: Video: Veo, Kling, Seedance, Sora, Runway, Wan and Hailuo Image: Nano Banana, Midjourney and Flux Voice: ElevenLabs You can explain why you'd pick one over another for lip-sync, character consistency, product close-ups, motion or cost per second. Hands-on with agentic AI tools like Claude, Codex, Cursor or Antigravity. You use them to build automations and small scripts, not just to chat. A portfolio of ad work you briefed or directed at volume, with results attached. When you apply, include at least two ads with the platform, spend, hook rate, CTR and CPA for each. We won't review applications without numbers. It would be great if you have Scripting or automation experience (APIs, batch pipelines, no-code tools) Experience at a subscription app or in edtech A film or production background Why join Praktika We expect dedication and hard work, and we reward it. Our compensation reflects the effort and results you bring. Top-tier salary Equity that grows with your impact through stock options 26 days' holiday plus bank holidays (34 days a year) Yearly offsites (recent ones were in Istanbul and Morocco) Health and wellness benefits through SafetyWing A full AI toolkit, including Claude, Cursor and Codex An annual learning budget of up to $1,000 Interview process Application review (with the numbers above) Intro call with our Talent team Portfolio deep dive with our Creative Manager Practical task Final interview with our CEO We'll give you feedback throughout the 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 Safeguards team builds the systems that detect and mitigate misuse of our AI models, from individual policy violations to sophisticated, coordinated attacks. A growing part of that work depends on lightweight detection methods trained on model internals, which let us identify harmful behavior cheaply and at scale. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. We're looking for an engineer to own the infrastructure behind that research. This is the tooling our researchers rely on to run experiments, train detection methods, and select detections for launch. It sits between research and production: researchers depend on it for fast iteration, and our detection systems depend on it for reliable, correct results as our models continue to change. Running machine learning workloads at our scale often requires solving novel systems problems. You'll identify those problems and build the abstractions, pipelines, and tooling that keep the research loop fast as requirements shift underneath you. Strong candidates will have a track record of solving large-scale systems and data problems and will be excited to grow deep machine learning expertise alongside it. Key responsibilities Build and scale the infrastructure and data pipelines behind Safeguards machine learning research Own the training, evaluation, and scoring workflows researchers use, with a focus on cutting the time between an idea and a result Design tooling and interfaces, including libraries and command line tools, that researchers can use directly without needing to understand the systems underneath Build correctness and sanity checking into the stack, so results stay trustworthy as models and workloads evolve Take the highest-value research workflows from experiments to reliable, production-grade jobs Improve the throughput, cost, and reliability of large-scale inference and scoring workloads Partner closely with researchers and engineers across Safeguards to understand their workflows, anticipate how their needs will change, and design for that ahead of time Minimum qualifications Strong software engineering fundamentals and hands-on coding ability, with proficiency in Python Experience building and operating data-intensive or distributed systems in production Experience building tooling or infrastructure that other engineers or researchers use as a dependency Comfort working across the research-to-deployment pipeline, from exploratory experiments to production systems Ability to debug performance and correctness problems across an unfamiliar stack Strong written and verbal communication skills, and a collaborative approach to technical decisions Preferred qualifications Experience with high-performance, large-scale machine learning systems Familiarity with language modeling and transformers, including working with model internals Experience with machine learning framework internals, GPU or accelerator programming, or inference optimization Experience building experiment tracking, caching layers, or evaluation harnesses for research teams Experience with probes, interpretability, or classifier development Interest in the misuse risks of AI systems and a desire to work on mitigating them 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: $350,000 — $500,000 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: Americas; APAC; EMEA Workplace: Remote RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile. We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue. We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading. ABOUT THE TEAM You’ll join a cross‑functional group of app monetization subject matter experts who partner directly with RevenueCat customers and prospects. As part of the broader Customer Growth org, this team designs and implements high‑impact paywalls, onboarding flows, and purchase funnels using RevenueCat’s no‑code builders and experimentation tools, then feeds learnings back into our product, templates, and educational content You’ll also collaborate closely with our content, marketing, and advocacy teams to turn real‑world project outcomes into templates, case studies, webinars, and best‑practice guides for the broader app community ABOUT THE ROLE As Senior CRO Designer, Paywalls & Funnels, you’ll be the person RevenueCat customers trust when the question is: “How do we get more users to convert and stay subscribed?” You will: - Design & build high‑converting paywalls and funnels - Use RevenueCat’s paywall and experiment builders to design, configure, and ship paywalls, onboarding flows, upgrade paths, and win‑back experiences for mobile apps across categories - Translate brands and product value props into clear, compelling paywall layouts, messaging, and pricing presentations - Lead conversion optimization projects for customers and prospects - Run structured discovery with customers and prospects to understand their business model, audience, and constraints - Propose experiment plans (e.g., value prop framing, pricing presentation, trial vs. no‑trial, placement and timing of paywalls) - Partner with apps to launch multivariate tests and interpret results, using RevenueCat’s analytics and experimentation tooling - Codify patterns into reusable assets - Distill what’s working across projects into reusable templates, checklists, and patterns that can be implemented directly in RevenueCat’s builders - Work with Product to inform our paywall components, presets, and default templates - Create educational content with Advocacy & Marketing - Collaborate with Growth Advocacy and Content teams to turn your project learnings into: - Example paywalls and funnel templates - Blog posts, guides, and best‑practice documentation - Webinars, live reviews, and conference talks or workshops - Participate in public‑facing sessions (e.g., teardown streams, office hours) as a visible expert on monetization UX - Champion monetization UX best practices - Advise Sales, Customer Success, and Support on paywall and funnel best practices they can bring into customer conversations - Provide feedback to Product & Engineering on how practitioners use our builders in the wild, highlighting opportunities for new features, components, and workflows ABOUT YOU You’re a conversion‑focused designer who lives at the intersection of mobile product design, growth, and experimentation. You have a track record of shipping real paywalls and funnels that move business metrics, not just portfolios You have: - Deep hands‑on experience with paywalls & funnels - 5–8+ years designing consumer mobile experiences, with a substantial portion spent on subscription or purchase flows (e.g., paywalls, onboarding, upgrade/upsell, win‑back, account limits) - Experience either: - At a mobile app studio / product team owning monetization UX, or - At an agency/consultancy repeatedly designing and optimizing paywalls and funnels for multiple apps - Strong conversion & experimentation mindset - Comfort defining hypotheses, success metrics, and test plans (e.g., CVR, trial start rate, activation, LTV) - Experience using analytics and experimentation tools to interpret results and iterate quickly - Ability to balance conversion gains with long‑term user trust and platform guidelines - Mobile‑first product design skills - Excellent interaction and visual design chops for small screens and high‑stakes surfaces (like paywalls and purchase flows) - Strong UX writing instincts for concise, value‑focused copy and pricing messaging - Proficiency in modern design tools (e.g. Figma) and comfort translating designs into no‑code builder configurations - Customer‑facing communication skills - Confidence leading workshops, design reviews, and strategy sessions with customers and prospects - Ability to present options, pros/cons, and trade‑offs to both designers and non‑design stakeholders (founders, PMs, marketers) - Great written communication for async collaboration in a remote team - Values & ways of working - You’re energized by our mission to help developers make more money - You work iteratively and ship value quickly rather than waiting for perfection - You have an ownership mentality: You see broken or unclear experiences and feel compelled to improve them - You’re comfortable working in a fully remote, distributed team and collaborating across time zones In your first month, you’ll: - Learn RevenueCat’s products, especially paywalls, experiments, and analytics - Join customer calls to understand our process and common challenges - Audit a handful of existing customer paywalls and funnels and build your first recommendations Within 3 months, you’ll: - Own several customer projects end‑to‑end, from discovery through experiment analysis - Ship multiple paywall and funnel variations using RevenueCat’s builders - Partner with Advocacy/Content on at least one public asset (template, blog post, teardown, or webinar segment) Within 6 months, you’ll: - Be the go‑to expert internally for monetization UX, paywall patterns, and funnel optimization - Maintain and evolve an internal “playbook” of best practices and tested patterns - Influence the roadmap for our paywall and experiment tooling based on patterns you see across customers Within 12 months, you’ll: - Have materially improved conversion for a portfolio of customer apps, with clear before/after stories - Help define our strategy for paywall templates and monetization UX guidance at scale - Represent RevenueCat in public‑facing educational content (webinars, AMAs, workshops, or conference talks) as a leading voice on mobile monetization UX WHAT WE OFFER: - Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator - 10-year window to exercise vested equity options - A fully remote environment designed around autonomy and flexibility - 4-5 weeks of flexible time off annually - Paid desk at a co-working space - Workspace budget and continuous learning stipend INTERVIEWING AT REVENUECAT Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed. MORE ON HOW WE WORK: - How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21 - The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/ - How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/ - What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21 - What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21

Location: Singapore Workplace: remote About the Company CertiK leads blockchain security by securing smart contracts and blockchains with cutting-edge Formal Verification technology. Founded by Computer Science professors of Yale University and Columbia University, CertiK has audited and secured over $500B in assets, including many of the world’s top blockchain projects. About This Role Singapore is where the institutional future of digital assets is being built. As Business Development Manager for Singapore, you drive the commercial relationship with the institutions that need it — exchanges and DPT licensees, banks and financial institutions moving into tokenisation,  protocols and Web3 native teams, and the funds and infrastructure providers around them. You will run the full cycle: build the pipeline, get in front of decision-makers, understand their security and compliance problem, and close. You will work alongside a capital markets and policy team and a technical organisation whose auditors, forensics, and on-chain surveillance work sets the benchmark for the industry. About You You are a builder of relationships and a closer of deals, and you are comfortable doing both in a market where the buyer is sophisticated and the sale is technical. You can hold a conversation with a CTO about smart contract risk and, an hour later, hold one with a Chief Compliance Officer about transaction monitoring and licensing obligations — and be taken seriously in both. You are self-directed about pipeline: you find the opportunity rather than waiting for it to be routed to you. Critically, you understand that in this market a regulatory shift is a commercial event, and you know how to move first when one lands. Responsibilities Pipeline generation and prospecting. Build and own the Singapore pipeline through outbound, inbound qualification, referrals, ecosystem relationships, and event presence — identifying and prioritising the accounts that matter across exchanges, financial institutions, VASPs, protocols, and infrastructure providers. Full-cycle deal execution. Run opportunities end to end: discovery, scoping with technical teams, proposal and commercial structuring, negotiation, and close. Solution positioning. Develop the depth to position CertiK’s portfolio credibly — audits and formal verification, penetration testing, on-chain surveillance and AML/compliance tooling, and incident response — and to map them to a specific client’s risk, regulatory, and commercial pressures. Account management and expansion. Own relationships post-sale, drive renewals and expansion, and act as the client’s primary commercial point of contact. Partnerships and  ecosystem. Develop channel and referral relationships with law firms, consultancies, custodians, infrastructure providers, and industry associations that extend CertiK’s reach into the market. Market intelligence and feedback. Track the competitive and pricing landscape, capture what you learn in the field, and feed it back into pricing, product, and go-to-market decisions. Cross-functional coordination. Work with policy, product, engineering, and marketing to build the proposals, materials, and campaigns that win business — and with the regional leadership team on territory strategy and forecasting. Reporting and CRM discipline. Maintain accurate pipeline data, forecasts, and activity records; report against clear quarterly targets. Ad hoc requests Requirements Bachelor’s degree in business, finance, economics, computer science, or a related field. Minimum of 4 years of B2B business development, enterprise sales, or account management experience, with a demonstrable record of meeting or exceeding revenue targets.  Prior experience at a Web3 security, blockchain analytics, RegTech, or cybersecurity vendor is a plus. Solid working knowledge of smart contract security, on-chain analytics, AML/CFT, or virtual asset compliance concepts.  Understanding of the digital asset and blockchain landscape, and of the security and compliance problems institutions in this market face. Established network in the Singapore or wider Southeast Asian digital asset, fintech, or financial services ecosystem. Excellent written and verbal English, and the ability to present with confidence to senior and technical audiences.  Proficiency in another Asian language is a plus. Strong commercial instincts. Highly organized, self-directed, and able to run multiple opportunities and deadlines with limited supervision. Comfortable operating in a fast-paced environment. Existing right to work in Singapore, or eligibility to obtain one.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We're hiring a Head of Professional Services to build and lead Vercel's global professional services organization, composed of our Technical Account Management (TAM) and Forward Deployed Engineering (FDE) functions. These functions embed directly with our most strategic customers to design, build, and ship production applications on Vercel using Vercel's core platform, Next.js and our agent stack, taking projects from first prototype through production rollout. You will define how this function operates: the engagement model, the delivery methodology, the commercial structure, and the team itself. You will report directly to our Global Head of Field Engineering, and partner closely with GTM and Product Leadership to run a business function that turns our largest customers' complex implementations into production deployments, drives adoption and expansion, and feeds what you learn in the field back into our product roadmap. This is a hybrid position based in San Francisco, Austin or New York, with 3 days per week (Monday, Tuesday, Friday) required in office. What you'll do Define the engagement model: how engagements are scoped, staffed, sequenced, and measured, and which accounts qualify for embedded support. Own delivery excellence for strategic customer engagements, from discovery and technical scoping through production deployment and stabilization. Establish the commercial model for professional services, including packaging, pricing, capacity planning, and resource allocation across competing customer priorities. Stay hands-on where it matters: architecture reviews, system design, and unblocking critical engagements alongside your team. Codify field learnings into repeatable playbooks, reference architectures, and delivery patterns that scale beyond individual engagements What you need 10+ years in software engineering, forward deployed engineering, or technical consulting roles, with at least 5 years leading customer-facing engineering or delivery teams in a high-growth environment. Experience building a team, function, or service line from zero, including hiring, methodology, and operating model. Strong background in modern web technologies (JavaScript/TypeScript, React, Next.js, Node.js, cloud infrastructure) with the ability to review code and whiteboard architectures credibly. Experience building or deploying LLM-powered applications and an understanding of how model behavior shapes product decisions. Commercial acumen: you have scoped, priced, and delivered technical engagements for enterprise customers and understand utilization, margin, and capacity tradeoffs Bonus if you Have built with Vercel, Next.js, AI SDK, or v0. Have led forward deployed or embedded engineering teams at an AI-native or developer platform company. Have owned a professional services P&L or defined services pricing and packaging from scratch. Are comfortable representing the function externally at conferences, customer executive briefings, or large-scale events. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $300,000 - $370,000 plus annual bonus. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Spain; Serbia; Poland; Ukraine; Portugal; North Macedonia; Bosnia and Herzegovina; Romania Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine

Responsibilities — Own the Czech market as the first local salesperson, across all customer segments. — Work with the base of direct contacts (existing clients and warm leads): develop, close and reactivate. — Handle inbound: qualify quickly, run discovery, and convert interest into paying customers. — Drive outbound to larger and high-potential accounts through cold outreach, own network and industry communities. — Run the full sales cycle end to end — prospecting, discovery, demo, negotiation, close — and own the number. — Be the voice of the market: systematically gather customer needs, objections and pain points and feed them to product and marketing to tailor the offering to Czechia. — Test and iterate positioning, messaging and channels to find what resonates with Czech buyers. — Temporarily provide light customer-success care to the clients signed, until a dedicated CS person is in place (with a small servicing bonus). — Keep the CRM clean and share regular insight on pipeline, win/loss reasons and market signals. What we're looking for — Czech at native or near-native level (C2), spoken and written — daily conversations, calls and written correspondence in Czech. — Strong Czech-speaking Slovak candidates are also welcome. — Working English for internal communication. — Senior experience in B2B / SaaS sales (or strong service sales), with a hunter mindset. — A self-starter who can grow a market and bring product feedback from the field. What we offer — Base salary of EUR 2,000/month (Net). — On-target earnings from EUR 4,000/month with no upper cap — commission-based reflecting real sales performance. — Official employment in Hungary (Altegio Europe KFT). — Budapest-based; relocation considered — a relocation package is available for the right candidate.

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 team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We're seeking an exceptional Research Scientist to join the team. This role combines deep computational biology expertise with frontier AI capabilities, positioning Anthropic at the forefront of AI-driven scientific discovery. As one of the first computational members of this Life Sciences research group, you'll work on a high-impact team that operates at the intersection of computational and experimental biology. You'll bring broad computational biology experience to bear across the team's projects, driving discoveries from large-scale computational analysis of biological data through to results our experimental scientists can test, and moving flexibly between problems as the science demands. You'll have substantial access to Claude and you'll help establish how computational biology operates at Anthropic. This role offers a unique opportunity to shape how AI transforms biological research. You'll work with some of the world's best AI researchers while tackling problems that matter deeply for scientific understanding and biomedicine. If you're excited about using your computational expertise to make fundamental biological discoveries and guide the development of transformative AI systems, we want to hear from you. Key responsibilities Build, run, and maintain the analysis pipelines that back the team's experimental programs: sequence analysis at petabyte scale, structural bioinformatics, phylogenetic and comparative genomics, design and analysis of high-throughput functional screens, biological sequence modeling, etc. Partner directly with experimental biologists to design experiments that produce high-quality data, and turn results around fast enough to immediately inform the next experiment Draw on the literature and curated biological knowledge bases alongside primary data to generate and prioritize hypotheses for experimental follow-up Stand up and maintain the team's computational infrastructure: data ingestion, workflow orchestration, internal databases, and the interfaces that make all of it accessible to both researchers and AI agents Use Claude and our internal agent frameworks heavily in your own work, and feed what you learn back to the model-improvement and product teams as evaluations, datasets, and concrete failure cases Pick up analyses across projects as priorities shift; we're looking for breadth and flexibility over a single deep specialty Minimum qualifications Have a PhD in computational biology, bioinformatics, genomics, biophysics, machine learning, computer science, or a related quantitative or biological field, or equivalent industry research experience Have a track record of computational biology research you have led end to end, from question to result, with evidence of impact (for example publications, preprints, released datasets or tools, or research that changed a program's direction) Have demonstrated breadth across multiple areas of computational biology Are proficient in one or more programming languages used in scientific computing and comfortable working on large datasets in Linux and cloud compute environments Can take an ambiguous biological question, scope the analysis, and produce a result an experimentalist can act on Communicate computational results clearly to both biologists and ML researchers Preferred qualifications Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments Are results-oriented, with a bias towards flexibility and impact Hands-on experience in experimental biology, or a track record of designing experiments side by side with experimentalists Experience building tools, pipelines, or agentic systems on top of LLMs, or training models on biological sequence data Deep expertise in one or two areas of computational biology (for example structural biology, metagenomics, single-cell genomics, or protein design) on top of the required breadth 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: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.