Вакансии

Location: Toronto, ON Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE TEAM AND ROLE Scaled Customer Activation owns the onboarding, activation, and early growth of Ramp’s self-service customers. We are placing a big bet on the belief that there is significant untapped potential in our self-service accounts. As an early member of the team, you will have the opportunity to help build and refine Ramp’s International Customer Success team and define the scaled customer implementation motion to drive activation. WHAT YOU'LL DO - Become an expert in the full range of integration and configuration options for Ramp’s suite of products, and in turn drive efficient, thorough, and complete onboarding of new Ramp customers at scale - Directly own micro-SMB and SMB accounts 1:1, ensuring they can fully onboard onto Ramp in 60 days and <2 calls - Balance priorities and multiple tasks supporting implementation, follow-up, and proactive outreach - Partner closely with the Product team to ensure customer feedback and pain points are heard, reviewed, and prioritized when needed - Identify areas of opportunity where we could automate and scale the onboarding process to cover more clients - Help us maintain an industry-leading satisfaction rate with our customers - Have the ability to grow, develop, and learn in a fast-paced, start-up environment WHAT YOU NEED - Minimum 3 years of experience in sales, customer success, or product operations in a B2B organization - Exceptional project management and time management skills - Excellent verbal and written communication skills - Desire for ownership and growth in the role over time - Proven track record of meeting weekly or monthly KPIs - Experience owning a high-volume book of business of 100+ customers at a time - Ability to anticipate customers’ needs and position product solutions accordingly NICE TO HAVES - Experience with accounting software (e.g., Netsuite, QuickBooks, Xero, Sage) and/or Accounting (CPA) - Experience with financial services sales - Experience at a high-growth startup BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: San Francisco, CA; Remote (US); New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE We’re hiring a strategic, data‑driven leader to shape the future of scaled customer success at Ramp. This role will design, operationalize, and lead programs that activate, retain, and grow 50% of Ramp’s micro‑SMB customers who don’t receive white‑glove 1:1 support, blending strategy, systems, and people leadership to drive impact at scale. WHAT YOU'LL DO - Own and evolve Ramp’s self‑service onboarding and activation strategy in partnership with Scaled CS leadership, Product, and Growth. - Use data to diagnose activation bottlenecks, build dashboards, run metric reviews, and drive data‑backed recommendations. - Partner with Product to improve activation features and automation that enhance self‑onboarding. - Lead customer education programs at scale: group onboarding trainings, video content, chatbot optimization, and lifecycle communications. - Continuously improve systems and team efficiency through automation, content, and applied AI initiatives. - Design, launch, and iterate scaled CS programs that improve outcomes across thousands of customers. - Manage, coach, and develop a team of 6–8 Scaled Customer Success Managers, each handling ~300 monthly new customers. - Drive team performance across activation, expansion, and CSAT targets while fostering ownership and excellence. - Hire, train, and enable team members on Ramp’s product, customer journey, and playbooks. - Partner cross‑functionally with CS, Sales, Product, Growth, and Data to align scaled strategy with company goals. WHAT YOU NEED - 4+ years in consulting, CS operations, revenue or business operations, or strategy within high‑growth B2B SaaS - 2+ years of people management experience leading high‑performing CS or operations teams - Proven success building or optimizing scalable programs and processes - Strong analytical skills with the ability to turn data into dashboards, operational insights, and measurable outcomes - Skilled at cross‑functional leadership and influencing senior stakeholders across Product, Growth, Data, Sales, and CS NICE TO HAVES - Customer‑facing or quota‑carrying experience with a track record of exceeding goals - Experience building education content, webinars, or scaled training programs WHAT SUCCESS LOOKS LIKE In the first 6 months, this leader will have launched and iterated scaled activation programs that measurably increase self‑serve activation and early retention, established a recurring metrics review with dashboards that surface funnel bottlenecks, and lifted team efficiency and CSAT through process, automation, and content improvements while developing a high‑performing team of 6–8 sCSMs. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: London, UK 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 RL Scaling Science team studies how reinforcement learning behaves as we scale it (across model size, compute, and task horizon) and turns that understanding into the training recipes behind our frontier models. As a Research Engineer on this team, you'll design and run large-scale experiments to understand and resolve bottlenecks, build the benchmarks that make long-horizon progress measurable, and ship validated findings directly into production training. This role lives at the boundary between research and engineering. The problems are open, the experiments run at frontier scale, and the path from a robust result to production is short. Key responsibilities Design, run, and interpret large-scale RL experiments, reasoning rigorously about what the data does and doesn't show Investigate how RL improves as horizon, compute, and model size grow Build and maintain benchmarks for long-horizon RL so progress is measurable and reproducible Translate validated findings into production training recipes, exercising judgment about when a result is robust enough to ship Debug complex issues at the seam where research meets infrastructure - failures that only appear at scale Partner closely with adjacent RL teams across research and engineering and advance our overall RL stack Minimum qualifications Strong empirical research skills in Reinforcement Learning, large-scale ML training, or a closely adjacent area Demonstrated ability to own large experiments end-to-end, from design through interpretation Proficiency in Python and experience working with large-scale or distributed ML systems Comfort operating at the research/systems boundary, including debugging where the two meet Care about the societal impacts of AI and responsible scaling Preferred qualifications Published or shipped work in long-horizon RL or RL fundamentals Experience translating research findings into production training recipes Demonstrated large scale industry impact via RL interventions Experience working on frontier-scale training runs with long trajectories Representative projects Design a benchmark suite for long-horizon RL that distinguishes genuine capability gains from artifacts of evaluation setup Take a promising experimental finding, stress-test it across model scales, and work with training teams to land it in a production recipe Investigate an unexpected scaling trend in an RL run and trace it to a root cause spanning algorithm, data, and infrastructure 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: £375,000 — £640,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco; Austin; New York City Workplace: Hybrid Perplexity is looking for a Scaled Enterprise Customer Success Manager to join our Enterprise team. In this role, you'll be responsible for driving onboarding, adoption, retention, and expansion across a high-volume book of SMB and Mid-Market customers. The ideal candidate has a strong foundation in Customer Success or Account Management within a scaling technology company, with the ability to use data, repeatable programs, and sharp customer judgment to create impact across many accounts. You will work closely with members of the Enterprise, Sales, Product, Support, and Marketing teams to help customers realize value from Perplexity at scale. This role requires strong communication, operational discipline, comfort with ambiguity, and a proactive "can-do" attitude. Your success will play a crucial role in expanding Perplexity's enterprise customer base, identifying conversion opportunities from self-serve customers, and helping build the next generation of scaled customer success motions. Responsibilities - Execute the scaled Enterprise customer success strategy developed by leadership - Manage a high-volume portfolio of SMB and Mid-Market customers through a lower-touch, data-informed engagement model - Serve as a point of contact for customers across onboarding, adoption, value realization, renewal, and expansion moments - Drive initial enablement through repeatable onboarding programs, training sessions, office hours, webinars, and digital content - Monitor customer health, usage trends, and engagement signals to prioritize outreach and identify risks or growth opportunities - Identify self-serve customers with strong usage, business fit, or expansion potential and support conversion opportunities into Enterprise - Partner with Sales and Account Management to surface expansion, upgrade, and renewal opportunities across scaled accounts - Help customers quantify value delivered by Perplexity through usage insights, adoption milestones, and business outcomes - Advocate for customer needs and collaborate with cross-functional teams to improve product experience, enablement materials, support processes, and scaled CS playbooks - Track and report on key performance indicators, analyze data to identify trends, and recommend improvements to scaled engagement programs Qualifications - 3+ years of experience in Customer Success, Account Management, Sales, or related customer-facing roles at scaling technology companies - Experience supporting SMB, Mid-Market, or high-volume customer segments, ideally in a SaaS or AI/productivity tooling environment - Strong customer judgment with the ability to balance personalized engagement and scalable program execution - Proven ability to drive adoption, retention, and growth across a book of business - Excellent written and verbal communication skills, with the ability to clearly explain value to business and technical stakeholders - Comfortable using data to prioritize outreach, diagnose account health, identify product usage trends, and uncover expansion signals - A self-starter by nature, comfortable dealing with ambiguity and juggling multiple initiatives - Ability to work under pressure, thriving in demanding environments - Ability to work independently and as part of a collaborative team - Proficiency in CRM systems, customer success platforms, analytics tools, and customer engagement workflows

Location: New York City Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office.   ABOUT THE ROLE We’re looking for a Scale Customer Success Manager to help our customers succeed in the new era of AI-driven search. In this role, you’ll work closely with brands and agencies, onboarding new clients and advising them on how to use our products to improve their visibility across search engines, AI assistants, and emerging generative surfaces. You’ll combine SEO expertise with a commercial and sales driven mentality, taking demo calls, setting up accounts for prospects and working with them on their AI Search success. WHAT YOU’LL DO - Onboard and activate new key clients, educating them on how to best leverage Peec AI to become top-ranked in AI search - Review websites, content, and search performance of key clients to identify AI-search-related opportunities across platforms (search, AI assistants, and emerging generative surfaces) - Run advisory sessions with leading brands and agencies, turning their growth and brand goals into actionable GEO strategies and roadmaps - Sell our AI search products, managing the full sales cycle from inbound to close, while meeting a sales quota WHAT WE’RE LOOKING FOR - 1–3 years of hands-on SEO or organic growth experience, ideally at a top-tier SEO agency - Deep understanding of technical SEO, content strategy, search intent, and how organic performance translates into business outcomes - Strong consulting skills: you’re used to advising clients, presenting strategic recommendations, and constructively challenging their thinking - Ability to explain SEO concepts in simple, actionable language for marketing and brand teams - Excitement about the shift from “10 blue links” to generative search, and motivation to be at the frontier of that change - Confident verbal and written communication skills in English for high-quality client calls, workshops, and written recommendations BONUS POINTS - Experience building frameworks: SEO playbooks, content strategies, or measurement models for clients - Initial experience with AI search - Any experience in sales, particularly in a B2B, SaaS or SEO context - Experience in a high-growth, venture-backed SaaS or marketing tech environment - Confident verbal and written communications skills in French, Portuguese, or Spanish WHAT WE OFFER - Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside - Comprehensive benefits package - Collaborative, high-energy in-office work environment - Opportunity to make a significant impact and define a new market category EEOC STATEMENT Peec AI is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law. COMPENSATION The base salary range for this position is $80,000 to $120,000 annually with anticipated on-target earnings being $100,000-$150,000. Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.

Location: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Scaled Enterprise team is a high-velocity sales motion built to bring frontier AI to a broad set of enterprise accounts. We're focused on reaching new customers efficiently, turning first conversations into real, expanding partnerships, and building the playbook for how Anthropic shows up at scale. As a Scaled Enterprise Account Executive, you'll own a book of enterprise accounts and the full revenue outcome for each. You'll generate your own pipeline, run a high-velocity sales cycle from first conversation through close, and develop a clear point of view on where Claude creates value in each account. You'll work closely with Product, Applied AI, and GTM to learn what's working at scale and feed it back into the playbook we're building from the ground up. This is a role for someone who thrives in hypergrowth, gets energy from breaking into new enterprise accounts, and wants to help build the scaled motion at Anthropic — not inherit one. Responsibilities Own all revenue outcomes for a book of enterprise accounts, driving new logo acquisition and early expansion across multiple use cases Generate the majority of your own pipeline through outbound, creative prospecting, and proactive multithreading into enterprise accounts that have not yet engaged with Anthropic Run a high-velocity sales cycle from first meeting through close, qualifying quickly, advancing rigorously, and knowing when to walk Develop a clear point of view on where Claude creates value in each account and bring that POV to technical and business stakeholders alike Build relationships with directors, VPs, and executive sponsors within your enterprise accounts, earning the right to expand by delivering early wins Negotiate and close commercial agreements involving technical evaluations, security review, and enterprise procurement Partner with Product, Applied AI, and Engineering to surface what's working, what's not, and what enterprise buyers need next Contribute to the playbook, proof points, and motion that this team is building from the ground up You may be a good fit if you have 3-5+ years selling into enterprise accounts as a full-cycle individual contributor carrying a bag, with a track record of consistently exceeding quota Experience selling at a hypergrowth company, where the playbook was still being written and you helped write it A hunter mindset and demonstrated success generating your own enterprise pipeline and breaking into new enterprise accounts Experience running enterprise sales cycles involving technical evaluations, security review, and procurement Comfort engaging both technical and business buyers at the director and VP level within enterprise organizations Background selling platform, API, cloud infrastructure, developer tools, or AI/ML into enterprise Strong commercial instincts and the ability to qualify quickly and advance rigorously Genuine interest in AI and strong alignment with Anthropic's mission of developing AI systems that are safe and beneficial What will make you stand out Experience at a hypergrowth enterprise infrastructure or developer tools company in its scaling years Track record as one of the early AEs on a new team, segment, or product where you helped build the motion rather than inherit it Background in developer tools, API, or AI/ML sales into technical buyers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Chicago, Illinois Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re building Fin's Scaled Customer Success team to reach more customers, provide consistent high-impact outcomes, and lean even harder into what makes us unique: our AI-powered products (especially Fin) and deep domain expertise. As a Scaled Customer Success Manager, you’ll be the customer’s trusted guide—helping them adopt and embed Fin's suite at scale, extracting real value, and scaling processes so more businesses succeed, more reliably. If you’re excited by working at the intersection of AI, product adoption, and operational excellence—and you want to help define how scaled CS works in practice—this is your role. What will I be doing? Drive broad product adoption, with special focus on Fin and AI-powered features: helping customers understand how Fin can automate support, enhance service, and deliver self-serve experiences, alongside human support. Design, implement, and iterate on engagement strategies and playbooks that can scale across customer segments—leveraging technology, automation, digital content, and smart touchpoints. Own implementation and onboarding conversations for your customers, ensuring they are being set up for success from Day 1. Monitor usage & health signals proactively—identifying risks, opportunities, and expansion paths; drive intervention where needed. Collaborate closely with Sales, Solution Engineering, Education, and Product to ensure a seamless customer journey from purchase through expansion. Act as the Voice of the Customer: feed insights from scaled engagements back into the product roadmap, feature improvements, messaging, and internal training. Help define what “Scaled CS” means here: you’ll be a builder—defining processes, tools, metrics, and models for what high volume, high value looks like. What skills do I need? 3-5 years of experience in a customer-facing role in SaaS / technology / product success or similar, with a track record of managing many customers or high-volume engagement. Strong interest in / experience with AI & automation support tools; ability to explain AI/Fin features and use cases to customers, and help them build workflows around them. Comfortable discussing technical topics such as APIs, integrations, and workflows—not an expert, but confident engaging with customers on technical questions and guiding them to resources. Excellent communication skills: can break down complex product and technical topics clearly for different audiences (executives, operations, support leaders). Data-driven mindset: able to monitor usage metrics, define success metrics, analyse what is / isn’t working, and adapt strategy based on results. Self-starter, entrepreneurial, comfortable in ambiguity; able to build processes from scratch and consistently improve them. Strong relationship builder: you can maintain trust even with many customers, manage expectations, and partner with internal stakeholders. Bonus skills & attributes Interest in consumption or usage-based SaaS models. Exposure to Generative AI, chatbots, virtual agents, or AI-assisted support tools. Experience in operations, scaling CS / onboarding / customer education / digital engagement programs. *Proof of eligibility to work in the United States is required. The OTE range for candidates within the Greater Chicago Area is $135,300 - $161,550. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: London, UK 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 ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in London. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £260,000 — £630,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in San Francisco. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 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: Bangalore Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll own your outcomes, from the strategies you run to the conversations that shape what we build next. As a Scaled Customer Success Manager on our Wrike Self Service team, you will drive platform adoption, retention, and account expansion across a high-volume customer portfolio. By combining scalable digital initiatives with targeted 1:1 touchpoints, you will ensure our customers maximize the value of Wrike while embedding a digital-first approach across our Customer Success organization. Your Impact: Execute Scaled Strategies : Design and deliver digital engagement campaigns —including webinars, automated email flows, and in-app messaging—balanced with strategic 1:1 customer interactions. Drive Adoption & Retention: Boost product utilization and customer satisfaction across a high-volume account tier, directly impacting Gross Retention Rate (GRR) and Net Retention Rate (NRR). Uncover Growth Opportunities: Leverage digital health metrics and interaction data to identify, nurture, and transition expansion opportunities to growth teams. Monitor Customer Health at Scale: Analyze telemetry and customer usage trends to proactively identify risks and implement retention tactics. Advocate a Digital-First Approach: Help establish best practices and scale standard operating procedures across the broader Customer Success team. Your Qualifications: 2+ years of experience in Scaled Customer Success, Account Management, or customer-facing roles, ideally in B2B SaaS. Proven track record of planning and executing digital-first customer engagement strategies. Strong business acumen with a data-driven approach to evaluating health metrics and growth potential. Fluent oral and written English communication skills. Standout Qualities: Exceptional organizational discipline to balance high-volume automated campaigns with priority 1:1 client needs. High curiosity and continuous learning agility to quickly adapt to evolving platform features and customer workflows. Strong foundation in enterprise business processes, account management, and value-based negotiations. Team Dynamics: You will join the Wrike Self Service team , a forward-thinking group dedicated to innovating how we engage with customers at scale. You will work closely with digital strategy leads, customer marketing, and expansion teams. Reporting to the Scaled CS Lead/Manager, you’ll operate in a highly collaborative environment that values experimentation, data insights, and customer advocacy. Our Work Style: We embrace a modern, digital-first engagement model leveraging customer success platforms, product analytics, automated messaging engines, and Wrike’s own work management ecosystem. Unlike traditional CS roles focused solely on dedicated account lists, this position places you at the intersection of marketing, operations, and customer success—giving you the leverage to impact thousands of users simultaneously while honing hybrid digital/human strategy skills. Benefits & Perks: 18 calendar days of paid vacation 12 days of National & Festival holidays (10 fixed, 2 flexible) Sick Leave Compensation (5 Paid Uncertified Sick Days) Menstrual Leave: Twelve (12) days per calendar year. Women employees are eligible for up to 1 day of menstrual leave per month. Parental Leave: 26 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Group Medical Insurance (Employees + Dependents) Term Life Insurance (Rs 50,00,000) Personal Accident Insurance (Rs 50,00,000) Monthly Broadband / Internet Reimbursement (INR 1500) Hybrid Working Model + Complimentary Lunch & Snacks Your recruitment buddy will be Nandini Singh , Senior Recruiter #LI-NS2 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Project Responsibilities: Design and ship specialist AI agents that use memory, tools, data and multi-step reasoning. Build multi-agent orchestration that routes work between specialist agents, manages dependencies and synthesises conflicting outputs.

Location: Remote Workplace: remote At Offchain, we aren’t just building products: we’re leading a movement. As pioneers in blockchain scalability and security, we're at the forefront of transforming how the world interacts with decentralized applications. We're laying the foundation that will define the next generation of digital commerce, governance, and human interaction. This involves tackling real-world challenges that come with scaling blockchain technology, without compromising on its core principles: decentralization, security and transparency. At the center of this vision is our people. Our team is made up of thinkers and doers that embrace new challenges and seek solutions that push existing boundaries. If you’re energized by solving unprecedented problems, and believe in the role that decentralized systems will play in creating a more equitable digital future, then we want to hear from you. Why Offchain? Offchain is setting the pace for the entire Ethereum ecosystem. We built the Arbitrum stack that powers Arbitrum One, the most widely adopted Ethereum scaling solution that exists today. Arbitrum’s ecosystem is undergoing tremendous growth with hundreds of projects and dApps on Arbitrum One today. Over 100 different teams have used Offchain technology to build their own Arbitrum chains. Major players in the space, Robinhood, BlackRock, Ethena Labs, Securitize, Aave, and Apechain are all using the Arbitrum stack. Arbitrum’s thriving ecosystem wouldn’t exist without our advanced technology stack. Arbitrum, Prysm, ZeroDev. These aren’t just product names. These are tools that are actively reshaping what's possible on Ethereum and advancing its core infrastructure. To top it all off? We’re backed by $124 million in funding. We’ve demonstrated consistent execution with billions in secured value, thousands of supported projects, and infrastructure processing millions of transactions seamlessly. What is the role: Offchain is looking for a strategic, hands-on Senior Product Marketing Manager to drive go-to-market and growth for ZeroDev, our smart account and wallet infrastructure for developers, fintechs and financial institutions building programmable finance. This role is made for a builder who thrives at the intersection of product, sales and growth, and who can connect every campaign to pipeline and revenue. This is a full-stack role. One week you're shipping a launch; the next you're working in HubSpot and supporting commercial proposals with Sales. You'll work closely with Product, Engineering, Legal, Sales and the wider Offchain marketing team to shape positioning, run campaigns and grow ZeroDev's footprint with both crypto-native builders and enterprise buyers. What you'll do: Develop product positioning, messaging and competitive framing across the ZeroDev product line, and evolve it as products mature. Define go-to-market plans and run launches end to end, developing content for landing pages, blogs, emails, demos, social, one-pagers and internal enablement. Run content, search and lifecycle programs. Own the X and LinkedIn calendar, SEO and answer-engine visibility, the monthly newsletter, nurture flows and customer case studies. Own growth operations: HubSpot administration, lead scoring and routing, campaign tracking (UTMs, PostHog) and funnel dashboards. Equip Sales with proposals, battlecards, account briefs and discovery prompts grounded in the product to assist in moving customers through the pipeline . Collaborate with ecosystem partners to drive adoption and amplify reach through coordinated GTM efforts. Contribute to OKRs and performance tracking frameworks, and manage marketing budget and paid campaigns against named opportunities. What you'll need: 5+ years of experience in product marketing or a similar function in crypto, fintech, or developer tools and infrastructure Demonstrated success launching and scaling product launches end to end, with quantifiable outcomes Strong copywriting and storytelling skills - able to distill complexity into clarity Hands-on HubSpot experience: workflows, lead scoring, pipelines and reporting Analytical in nature, with a strong ability to set up tracking, read funnels and tie marketing work to pipeline and revenue Comfort navigating ambiguity and solving open-ended problems with structure and insight Daily AI tool user who can build simple agent workflows or automations Blockchain Enthusiast. A burning curiosity and/or deep understanding of blockchain technologies Bonus: Experience managing and mentoring team members, fostering a collaborative environment that drives individual growth and team success Perks: Remote-first global workforce + NY office Professional reimbursement program (facilitates industry conference attendance, certifications, and more) Medical, dental & vision coverage (US + some other countries) 401k retirement plan + company match (US only) Wellness stipend Home office set up / ergonomic equipment program Attention Offchain Job Seekers: This role cannot be performed in California, or Colorado. Please be advised that there has been a rise in fraudulent recruiter activities, particularly within the Web3 space. If you would like to confirm whether someone is an Offchain employee or the legitimacy of an offer you received, please email jobs@offchainlabs.com At Offchain, we are committed to building a welcoming and supportive workplace for all employees, regardless of their background or identity. We strive to create an environment where everyone feels valued and has an equal opportunity to succeed and thrive. We encourage candidates from all walks of life to apply and join our team.

Location: Belgrade, Remote Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. About the role We're looking for a Senior Product Designer to own the B2C customer journey inside the Tabby app. Different product teams build different products — Tabby Card, Tabby Cash, BNPL — and they often do it apart from each other. The experience is not always consistent or whole. Your mission is to look at the product the way one customer does, and make it feel like one ecosystem. The B2C Life Cycle team owns that journey. In practice, that means activation: onboarding, communicating the value of each product, activating financial products, and getting the customer to a first transaction. After that, you design how we keep explaining the value so people come back and keep transacting. You will also work on the subscription and help develop the Tabby+ model. Why join A rare brief: own how a customer experiences the whole app, not one feature inside one team Concrete problems with visible impact — first transaction, return, and a subscription people choose to keep A strong cross-functional team — product, research, content, and engineering — all invested in quality What you will be doing Look across consumer products and design the experience as one customer journey, so Tabby feels consistent and whole Design onboarding that explains the value of the products in plain language and gets a new customer oriented Design activation of financial products — Tabby Card, Tabby Cash, and BNPL — through to the first transaction Design the moments and communication that bring people back after the first transaction and keep them transacting Shape the subscription experience and help grow s part of the same journey Work with product teams that ship on their own, and hold the seams between their products so the customer does not feel the org chart Work closely with your Product Manager to unpack the problem and turn it into a design that serves both the customer and the business Collaborate with UX Researchers to validate assumptions, and with a UX Writer to make the value of each product clear Partner with engineering throughout delivery and own the quality of what ships to production What you will need 5+ years of product design experience, with meaningful time on consumer products at scale Strong systems thinking: you can hold several products in one journey, including states, edge cases, and the handoff from one product to the next Ability to simplify: you can take a fragmented, multi-product experience and make it feel like one product a person can move through Strong product thinking: you understand business goals and customer needs equally well, and you know how to balance them A portfolio showing end-to-end ownership, from problem framing to polished, production-ready UI Experience working in cross-functional teams with product managers, researchers, writers, and engineers High craft standards and real care for what reaches users You know how to optimize your workflow with AI tools and use them to work faster and smarter Nice to have Experience with fintech, consumer finance, subscriptions, or lifecycle work: onboarding, activation, retention Experience designing across several products that have to feel like one Experience with growth mechanics: first transaction, habit, and return Experience contributing to or working within a design system Benefits We hire candidates based within four hours of Dubai time , with remote work available in eligible locations. Depending on your circumstances, we can also discuss an individual relocation plan to our hubs in Armenia, Georgia, Serbia, Poland, and Spain. What you can expect Flexible working hours, coordinated with your team and the needs of your role. Autonomy and responsibility from day one. Opportunities to grow through the quality and impact of your work. Participation in our employee stock option program. We’re committed to an inclusive, high-performing workplace where people from different backgrounds have the support to grow and achieve their goals. If this sounds like the right opportunity for you, we’d love to hear from you.

Location: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Prototype Engineer to drive the development, assembly, integration, and validation of advanced humanoid robotic systems, with a particular focus on robotic hands, arms, end-effectors, and complex electromechanical mechanisms. This role combines deep hands-on engineering expertise with proven technical leadership and team management experience. You will take ownership of complex prototype development activities, guide engineering execution, and work closely with Mechanical, Electrical, Embedded Software, and Controls teams to transform innovative designs into reliable, high-performance robotic systems. We are looking for someone who has successfully led and developed technical teams, established efficient prototyping processes, and delivered complex hardware projects in fast-moving engineering environments. As our Vancouver robotics operations continue to grow, this position offers the opportunity to progress into a broader technical leadership role, helping shape our prototyping capabilities, engineering standards, and team development. Your work will directly influence the technical quality, development speed, and scalability of Humanoid's next-generation robotic platforms. WHAT MAKES THIS ROLE EXCITING - Take ownership of complex humanoid robot prototyping, including dexterous hands, arms, actuators, and advanced electromechanical assemblies. - Combine hands-on engineering with technical leadership, guiding complex prototype development from concept through validation. - Apply your previous team management and mentoring experience to strengthen engineering execution and build effective prototyping practices. - Solve challenging problems in robotic manipulation, precision actuation, sensor integration, and hardware-software interaction. - Collaborate with a multidisciplinary robotics team spanning mechanical, electrical, embedded software, and controls. - Play a key role in scaling Humanoid's prototyping capabilities, with potential to grow into a broader team leadership position. WHAT YOU’LL DO - Lead the development, assembly, integration, and commissioning of complex robotic prototypes, including hands, arms, end-effectors, actuators, sensors, and electromechanical subsystems. - Take ownership of prototype development from initial build through calibration, testing, debugging, validation, and design iteration. - Provide technical leadership and direction to engineers and technicians, helping establish priorities, resolve engineering challenges, and maintain execution quality. - Apply previous team management experience to mentor technical team members, develop capabilities, and establish effective engineering workflows. - Coordinate prototype development activities, ensuring clear technical priorities, efficient resource allocation, and alignment with engineering milestones. - Drive advanced hardware troubleshooting, root-cause analysis, and failure investigation across mechanical, electrical, and embedded systems. - Oversee the integration, calibration, and performance optimization of actuators, encoders, force/torque sensors, tactile sensors, and robotic control interfaces. - Partner with Mechanical, Electrical, Embedded Software, and Controls teams to identify design limitations, integration risks, and opportunities for performance improvement. - Lead and contribute to technical design reviews, providing practical engineering feedback on assembly, reliability, serviceability, and manufacturability. - Establish and improve prototype assembly procedures, integration workflows, testing methodologies, and validation standards. - Drive rapid prototyping and engineering iteration, ensuring timely resolution of technical blockers and efficient development cycles. - Support system-level testing, performance characterization, reliability assessments, and prototype-to-production transitions. - Develop and maintain technical documentation, including assembly instructions, test procedures, troubleshooting guides, SOPs, and engineering reports. - Collaborate with engineering and program leadership to plan prototype builds, track technical progress, manage risks, and communicate development priorities. - Work closely with teams across Vancouver, London, and Boston, supporting cross-site integration and technical collaboration. - Promote a safe, organized, and efficient prototyping environment, maintaining appropriate tools, equipment, and engineering practices. WE’RE LOOKING FOR - 10+ years of professional experience in robotics prototyping, mechatronics, electromechanical integration, or advanced robotic hardware development. - 5+ years of proven track record directing technician groups within a dynamic research and development setting. - Demonstrated experience mentoring, developing, and coordinating technical team members, with the ability to establish priorities and drive engineering execution. - Bachelor's or Master's degree in Robotics, Mechatronics, Mechanical Engineering, Electrical Engineering, or a related technical discipline, or equivalent practical engineering experience. - Strong hands-on experience building, integrating, testing, and troubleshooting complex robotic or electromechanical systems. - Proven track record of taking complex hardware prototypes from concept through integration, commissioning, validation, and delivery. - Deep understanding of precision mechanical assemblies, actuators, motors, sensors, wiring, and embedded hardware interfaces. - Experience with fine-pitch soldering, precision wiring, cable assemblies, connectors, and electrical integration. - Strong knowledge of actuator commissioning, sensor calibration, motor control interfaces, and robotic system testing. - Ability to interpret mechanical drawings, electrical schematics, wiring diagrams, and engineering documentation. - Experience using laboratory and diagnostic equipment, including oscilloscopes, multimeters, power supplies, and precision measurement instruments. - Demonstrated ability to lead complex troubleshooting, root-cause analysis, and engineering problem-solving activities. - Experience establishing or improving prototype assembly, integration, testing, and validation processes. - Strong project coordination skills, including technical planning, resource prioritization, risk management, and cross-functional execution. - Excellent communication skills, with the ability to collaborate effectively with engineering teams, technical leadership, and program stakeholders. - Ability to balance hands-on technical involvement with broader engineering leadership responsibilities in a fast-paced R&D environment. BONUS QUALIFICATIONS - Experience developing humanoid robots, dexterous robotic hands, robotic arms, or advanced manipulation systems. - Previous experience building, scaling, or managing a robotics prototyping, integration, or hardware development team. - Experience with multi-DoF robotic mechanisms, precision actuators, transmissions, and complex joint assemblies. - Experience with tactile sensors, force/torque sensors, encoders, IMUs, and robotic sensing technologies. - Knowledge of motor control systems, drive tuning, actuator performance analysis, EtherCAT, or CAN communication protocols. - Experience with rapid prototyping and fabrication, including FDM/SLA 3D printing, CNC machining, and laser cutting. - Familiarity with SolidWorks or similar CAD tools and the ability to perform mechanical design modifications. - Experience using Python, ROS/ROS2, or other tools for robotic hardware testing, calibration, or automation. - Experience developing automated test setups, hardware validation infrastructure, or data acquisition systems. - Experience supporting hardware NPI, prototype-to-production transitions, or low-volume robotic manufacturing. - Background in robotics, autonomous systems, aerospace, automotive, or advanced hardware startups. WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As Senior Director, Global Total Rewards, you’ll lead the strategy and delivery of compensation, equity, benefits, and related programs across a global technology organization. You’ll guide an approximately eight-person team, partner with senior leaders and cross-functional stakeholders, and help build scalable, equitable programs that support 1Password’s mission to make it safe for everyone to access the information they need. How we’re using AI today On the People team, we’re using AI intentionally and responsibly as part of how our work gets done. We’re building a shared foundation of AI confidence and capability with the belief that innovation happens best when we learn and experiment together. From drafting communications and synthesizing feedback to automating workflows across the employee lifecycle, we’re embedding AI into our day-to-day operations and the way we collaborate cross-functionally, helping us move quickly and create space for the human moments that matter most. This is a remote opportunity within Canada and the US. What we're looking for: • Extensive senior-level experience leading global Total Rewards programs, including compensation, equity, benefits, retirement, and executive compensation. • Experience guiding Total Rewards strategy and operations through significant organizational growth, evolving governance requirements, or preparation for an initial public offering (IPO) and public-company operations. • Strong experience advising executives, Compensation Committees, and Boards, with the ability to translate complex analysis into clear recommendations and decisions. • Deep knowledge of equity strategy and governance, including equity ranges, grant programs, refresh programs, share-pool planning, dilution forecasting, and compensation governance. • Experience building or evolving job architecture, career levels, pay bands, geographic frameworks, and pay equity practices across multiple markets. • Experience leading or sponsoring large-scale human resources information systems (HRIS), payroll, compensation technology, or enterprise program implementations, including data migration, integrations, testing, controls, and adoption. • Experience using artificial intelligence (AI), automation, analytics, or scenario modeling to improve Total Rewards insights, scalability, controls, and employee experience. What you can expect: • Lead a global Total Rewards strategy that supports business priorities and attracts, rewards, and retains talent across technology, cybersecurity, and other critical areas. • Lead, coach, and develop a global team while fostering clear communication, effective collaboration, accountability, and thoughtful change management. • Strengthen governance, controls, documentation, data integrity, and operating practices to support scalable and compliant Total Rewards programs. • Define the future Total Rewards technology and data ecosystem, including optimization of platforms such as Pave and responsible use of AI, automation, analytics, and self-service capabilities. • Partner with executive leadership, Finance, Legal, and external advisors on executive compensation strategy, market analysis, incentive design, and Compensation Committee materials. • Oversee equity strategy, global compensation programs, job architecture, career levels, geographic differentials, pay structures, and pay equity initiatives. • Set the strategic direction for global benefits, retirement, leave, accommodations, and wellbeing programs while supporting international expansion, acquisitions, audits, regulatory requirements, and operational improvements. USA-based roles only: The annual base salary for this role is between $230,000 USD and $345,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $191,000 CAD and $287,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:   🏝 Generous PTO policy - accrue 2.08 days per month 💖 Company-wide wellness days (1 per quarter) 🌎 Employee-led inclusion and belonging programs and ERGs 🏠 Remote-first environment 🏆 Peer-to-peer recognition through Bonusly You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Director, Legal - Global Privacy & Data Counsel San Mateo, CA | Hybrid - 2+ days per week in our San Mateo office Full relocation assistance available for qualified candidates Role Summary: Leading SIE’s Global Legal Privacy program, you will play a pivotal role in shaping and advancing this function, which is central to our mission as a data-driven technology and entertainment company. You will develop, implement, and maintain comprehensive privacy policies, procedures, and practices that reflect industry best practices, comply with applicable data protection laws and regulations, and support SIE’s business objectives. Working collaboratively with teams around the world, you will help embed strong data privacy stewardship across the organization through your leadership, passion, and expertise. What You’ll Be Doing: Lead the Privacy Team: Lead a team of professionals spanning legal, operations and compliance, and data governance. Provide strong leadership to build a well-functioning team. Privacy Program Development: Design, implement, and evolve a robust and forward-thinking privacy program tailored to the specific needs of SIE’s multi-faceted, data-driven business. Provide senior leadership in communicating company's vision, strategy, and objectives for data privacy and data husbandry to stakeholders across SIE. Regulatory Compliance: Stay up to date with evolving global privacy laws and regulations, including GDPR, CCPA, and other regional data protection requirements. Ensure the company's policies and practices remain compliant with the changing legal landscape. Privacy by Design: Advocate privacy-by-design principles and ensure that privacy considerations are integrated into the development of new products, services, and technologies, working closely with product counselors, product managers, business function leaders and SIE’s ESG team. Privacy Policies and Procedures: Create and review privacy policies, notices, consent forms, and related documentation to ensure transparency and compliance with relevant data protection laws. Collaborate with Legal, Compliance, and other teams to disseminate these policies throughout the organization and to customers. Employee Training and Awareness: Conduct privacy training programs for employees and management to promote a privacy-aware culture. Foster awareness of privacy responsibilities and best practices throughout the organization. Vendor Management: Develop and evolve SIE’s processes to assess the privacy practices of vendors and third-party partners to ensure that data processing agreements and contracts comply with privacy and SIE’s Information Security requirements. Privacy Impact Assessments: Oversee the conduct of privacy impact assessments (PIAs) to identify and mitigate privacy risks associated with the company's data processing activities. Incident Response: Develop and maintain an effective incident response plan for privacy breaches. Coordinate with the Incident Response team to manage and mitigate privacy incidents and associated risks. Reporting and Accountability: Provide regular reports on the status of the privacy program to executive leadership and the board of directors. Be a focal point of contact for privacy-related inquiries from regulators and customers. What We’re Looking For: Juris doctor degree; bachelor or advanced degree in computer science, information technology, or a related field. An advanced degree is a plus. 20+ years of legal experience and 10+ years proven experience in a senior privacy leadership role, preferably as a Chief Privacy Officer or Privacy Officer, within a data-driven technology company or relevant industry. In-depth knowledge of global privacy laws and regulations, such as GDPR, CCPA, and other regional frameworks. Broad knowledge of emerging requires in the APAC region a strong plus. Demonstrated ability to design and implement comprehensive privacy programs that align with industry best practices, laws and regulations and data use requirements typical of a company like SIE. Experience in building an incident response process with partnership with the CISO or similar function; experience managing privacy incidents. Experience conducting privacy impact assessments and building processes for such assessments that will easily scale. Excellent communication and interpersonal skills, with the ability to interact effectively with stakeholders at all levels of the organization. Strong leadership qualities, with the ability to influence and drive change in a collaborative environment. Privacy-related certifications such as CIPP, CIPM, CIPT, or other relevant certifications are highly desirable. #LI-SF1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $302,400 — $453,600 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Limassol, Cyprus Spotware is looking for a Senior B2B Marketing Lead to own the marketing strategy and go-to-market execution for the cTrader business direction. This is a senior, hands-on role at the intersection of product marketing, demand generation and brand building. You will turn market insight and commercial priorities into clear positioning, integrated campaigns and measurable pipeline contribution. We are looking for a marketer who can own a business direction end to end: identify opportunities, shape the plan, align stakeholders and make it happen. Spotware is an AI-first company with an established ecosystem of AI tools, agents, automations and connected workflows. You will use this environment to move faster and work smarter - not to start from zero, but to turn these capabilities into stronger B2B marketing outcomes. What You Will Own B2B marketing strategy and go-to-market roadmap for cTrader across brokers, prop firms, fintech companies and relevant partners. Market understanding: ICP definition, segmentation, buyer journeys, competitive context and prioritisation of markets and audiences. Positioning, messaging architecture and proof points that make cTrader clear, relevant and differentiated for each key audience. Integrated marketing plans spanning product launches, demand generation, content, partner activity, events, webinars, paid media and lifecycle communications. Marketing contribution to qualified demand and pipeline, in close partnership with Sales and the wider Marketing team. Cross-functional alignment across Product, Sales, Partnerships, Customer Success and Support around shared priorities, campaigns and feedback loops. Ownership of the cTrader marketing budget: planning, allocation, spend control and performance tracking across priorities and channels. An AI-first marketing operating model for the direction: applying and continuously improving the company’s connected AI workflows across research, planning, production, personalisation and measurement. Key Responsibilities Develop and maintain the B2B marketing plan for the cTrader business direction, translating commercial priorities into focused quarterly initiatives. Work with Product, Sales, Partnerships, Customer Success and Support to understand market needs, customer objections, product priorities and growth opportunities. Define and evolve positioning, audience-specific messaging, campaign angles, offers and calls to action. Lead go-to-market plans for product launches, key features, new segments and strategic market initiatives. Plan and orchestrate integrated campaigns across the right mix of channels, including content, email, paid media, webinars, partner campaigns, events, landing pages and nurture. Brief and coordinate internal specialists and external partners across content, design, performance, CRM and campaign operations; ensure work is focused, timely and commercially relevant. Create or oversee B2B content and sales enablement assets such as product narratives, case studies, presentations, landing pages, campaign materials and customer proof points. Build and optimise marketing funnels for key audiences and accounts, spanning awareness, education, consideration, conversion and reactivation. Partner with Sales to improve lead quality, campaign follow-up, feedback loops and the connection between marketing activity and deal progression. Use customer, market and campaign data to assess performance, identify bottlenecks and recommend clear next actions. Own the cTrader marketing budget: plan, allocate and control spend, and track performance against strategic and commercial priorities. Turn successful initiatives into repeatable playbooks and scalable processes. Use Spotware’s existing AI-first capabilities to accelerate market research, segmentation, content production, campaign personalisation, reporting and operational execution - and identify new workflows worth scaling. Requirements 5+ years of experience in B2B marketing, product marketing, integrated marketing, growth marketing or revenue marketing. Proven experience owning marketing strategy and go-to-market execution for a B2B product, business unit or product line. Strong understanding of B2B positioning, ICPs, segmentation, buyer journeys, messaging and commercial storytelling. Experience planning and running multi-channel campaigns, while knowing how to choose the right channels rather than applying a fixed playbook. Ability to combine strategic thinking with hands-on execution and strong ownership. Experience working cross-functionally with Product, Sales, Partnerships, Customer Success, Support, content, design and performance teams. Strong written and verbal communication skills, with the ability to turn complex products into clear, persuasive narratives. Commercial and analytical mindset: able to connect marketing activity with demand quality, pipeline and business outcomes. Confidence working with CRM, marketing automation and campaign reporting; deep technical administration is not required. Fluent English and the ability to work independently in a fast-moving environment. An AI-native mindset and genuine enthusiasm for Claude or ChatGPT. You are a true power user who uses at least one of them daily as a thinking and execution partner - to research, plan, write, analyse and improve marketing workflows, not as an occasional productivity tool. Nice to Have Experience in fintech, B2B SaaS, trading platforms, brokerage technology, prop trading or financial markets. Experience with account-based marketing, partner marketing, lifecycle marketing, webinars or industry events. HubSpot certification and hands-on experience with HubSpot or a similar CRM and marketing automation platform. LinkedIn Ads certification and practical experience running B2B paid acquisition campaigns. Experience improving complex marketing workflows with AI agents, automation, data enrichment or connected tools. Conditions Private medical insurance. Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup. Support with settling into life in Cyprus, including basic guidance on everyday matters, accommodation, banking, and healthcare. A comfortable office environment with fresh fruits every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box to celebrate the arrival of a child. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.

Location: Limassol, Cyprus Spotware Systems is looking for a hands-on Media Buying Operations Manager for our new direct-to-consumer trading product built on the cTrader ecosystem. You will build, run, and scale the media-buying network and the ad-ops / martech spine - turning testing funnels and cohorts into registered, funded, and actively trading cTrader users. Responsibilities Source, onboard, and manage a network of external performance-pay media-buying units. Set the units' pay schemes (fixed + performance) and allocate them across funnel × geo, deploying onto winning combinations. Scale the network as testing widens, cut underperformers, and own the unit-count ramp against live cost-per-funded-account and conversion-rate signal. Launch the first geos hands-on - run the initial media-buying units yourself, as a buyer, until the external network is stood up. Run QA and anti-fraud on unit output, and reconcile performance-based payouts against verified funded accounts. Be the single point of contact between the in-house team and the external units - give them clear briefs (offer, brand and creative guidelines, tracking setup), collect their performance data, and feed it back into what we test, prioritize, and scale next. Own advertising accounts, tracking pixels, server-side tracking, mobile attribution, and first-party data in-house. Report acquisition performance against CAC, funded-account quality, and net deposit, working with the analyst on the measurement spine. Requirements 5+ years in performance marketing / paid UA, owning budgets and scaling spend to six figures/month against CPA and volume targets. Proven track record building and managing a network of external buyers / buying teams / JV partners - sourcing, perf-pay deals, allocation, anti-fraud, payout reconciliation - not just running own campaigns. High-CPA, conversion-driven vertical experience (iGaming, gambling, forex / CFD, crypto, dating, nutra). Hands-on ownership of the ad-ops / martech stack - ad accounts, pixels, conversion APIs, trackers (Voluum / Keitaro / RedTrack), product analytics (Amplitude / PostHog / Mixpanel), MMP (AppsFlyer / Adjust). Multi-geo acquisition, ideally across emerging markets (Tier 2-3), with localization handled at the unit level. Strong analytical command - reads funnel / cohort data and acts on unit economics (CAC, LTV, payback, net deposit, retention). AI-native by default - runs the network and stack on AI and automation, with minimal manual labor. Soft skills: hands-on operator (not a pure manager), comfortable with ambiguity and autonomy, clear communicator across commercial, creative, and technical counterparts. Conditions Private medical insurance. Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup. Support with settling into life in Cyprus, including basic guidance on everyday matters, accommodation, banking, and healthcare. A comfortable office environment with fresh fruits every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box to celebrate the arrival of a child. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.