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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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Rhode Island Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. What we can offer : A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team! The Opportunity: The Assistant General Counsel will provide general legal support for the Pro Builder business of LG Electronics USA (LGEUS) which sells and installs home appliances and other products in new home and other residential construction projects. See https://www.lg.com/us/business/builder . The position will further serve to ensure appropriate controls are in place to mitigate legal risks and provide business legal support for the Pro Builder business. Draft, review, and support negotiation of various types of complex sales, installation, construction, services, and other agreements, including agreements with home builders, distributors, vendors, and other parties related to the Pro Builder business. Advise on antitrust and other legal issues associated with distribution of products and services, online sales tools, and other Pro Builder operations. Review and advise on proposed external communications including marketing materials, press releases, external presentations, white papers, remarks, and other materials for Pro Builder. Work with risk management staff on insurance coverage obligations. Advise on licensing and other regulatory requirements for the Pro Builder business. Manage and/or support pre-litigation and litigation disputes, government administrative agency actions, or subpoenas. Provides detailed reporting to the involved parties. When necessary, manage outside law firms. Generally support LGEUS’ Home Appliance and B2B business teams in the U.S. as needed. Qualifications JD degree, plus at least 5-7 years’ relevant experience. Experience negotiating construction and/or supply agreements with residential builders or similar parties. Strong execution and project management skills with ability to organize stakeholders from across a global organization on cross-functional projects (e.g., tax, credit, insurance, etc.). Negotiation and construction industry experience in general. In-house legal experience preferred. Advanced organizational skills and the ability to simultaneously manage multiple projects with aggressive time lines. Ability to work independently and with accountability within a multinational corporate group. Limited travel (10%) sometimes required. Applicable Bar license or ability to promptly obtain in-house counsel license. Recruiting Range $160,000 — $210,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Lagos, Nigeria Renmoney is building the next-generation ecosystem for financial services in Nigeria, spanning retail savings, lending, digital banking, SME services and partnerships. As we expand beyond our mobile app, we are developing alternate channels that bring financial services closer to customers wherever they are. As Product Manager for Alternate Channels, you will act as the CEO of a pivotal business line. You will own the strategy, roadmap and commercial success of our alternate channels portfolio, covering agent banking, POS merchant acquiring, Distribution-led acquisition, banking, lending, and embedded finance (BaaS) partnerships. You will build products and platforms that put Renmoney’s services in the hands of every Nigerian, transforming corner shops into financial hubs and everyday apps into credit access points. This role demands strategic vision, hands-on execution, and strong commercial acumen. You will manage the P&L, collaborate with cross-functional teams, and ensure that our channels deliver profitable growth while adhering to regulatory requirements. Key Responsibilities 1. Strategic Leadership & Vision Develop and champion a compelling product vision for alternate channels, aligned with Renmoney’s mission of financial inclusion and business growth. Own the P&L for the alternate channels portfolio, setting pricing and revenue targets and managing costs to ensure profitability. Conduct market analysis, competitor benchmarking and customer research to identify new opportunities across agent banking, POS acquiring, distribution-led lending and embedded finance. Shape short- and long-term roadmaps for each channel, driving synergy with Renmoney’s core digital products. 2. Product Lifecycle Management & Execution Lead the end-to-end product development lifecycle from ideation, requirements gathering and user story creation to launch, iteration and retirement. Agent Banking: Design and enhance the agent platform (mobile and USSD) to facilitate deposits, withdrawals, transfers, bill payments and loan origination. Build a best-in-class agent onboarding and management system. POS Merchant Acquiring: Develop a differentiated value proposition for merchants. Oversee the strategy for POS devices, settlement processes and value-added services such as merchant lending and inventory management. Distribution-Led Lending: Design and launch credit products that can be offered through partners (e.g., retail chains, device financiers, agent networks), balancing growth with prudent risk management. Embedded Finance (BaaS): Define our API product suite, enabling third-party fintechs and businesses to integrate Renmoney’s credit and financial services into their platforms. 3. Growth, Efficiency & Customer Experience Collaborate with Sales and Marketing to design and execute acquisition and activation strategies for agents and merchants. Drive performance against numeric targets Increase the number of active agents and merchants by ≥30% year-over-year. Grow the value and volume of loans and savings balances disbursed via alternate channels by ≥40%. Reduce onboarding and transaction turnaround times by ≥25%. Improve cost per acquisition (CPA) by ≥15% while maintaining healthy unit economics. Establish feedback loops with agents, merchants and partners and use data to drive continuous improvement in product features and processes. Champion a world-class experience for all stakeholders and ensure high Net Promoter Scores (NPS), targeting a ≥20‑point improvement. 4. Compliance & Risk Management Ensure all alternate channels adhere to Central Bank of Nigeria (CBN) regulations and other applicable standards. Maintain 100% KYC compliance and zero major regulatory incidents. Work closely with Risk, Compliance and Legal teams to design products and processes that minimize fraud and support robust credit risk management. Maintain a non-performing loan (NPL) rate below 5% for loans disbursed via alternate channels. Lead regular audits and embed controls throughout the product lifecycle. Success Metrics / KPIs Your performance will be measured against clear, quantifiable KPIs that directly tie to business outcomes: • Scale & Reach: ≥30% YoY growth in active agents and merchants; monthly transaction volume and value targets for agent banking and POS acquiring. • Portfolio Growth: ≥40% YoY growth in loan disbursement and savings balances via alternate channels; maintain NPL rates under 5%. • Profitability: Achieve revenue and net transaction value (NTV) targets for each channel; manage the portfolio’s P&L to ensure profitable growth. • Efficiency & Quality: Reduce agent/merchant onboarding time and loan/savings processing turnaround times by ≥25%; maintain high transaction success rates (TSR) and improve CPA by ≥15%. • Compliance & Risk: 100% KYC compliance and zero major regulatory findings; robust fraud detection and risk mitigation. • Satisfaction: Achieve a ≥20‑point improvement in NPS for agents, merchants and partners; deliver best-in-class support and service resolution times. Requirements 5–7 years of product management or channel management experience in fintech, banking, payments or digital services. Hands-on experience launching and scaling at least one of the following: agent banking networks, POS merchant acquiring, B2B2C lending products, or embedded finance APIs. Proven track record managing a product P&L and executing growth strategies in emerging markets. Strong analytical and quantitative skills; proficiency in SQL, Excel, Mixpanel/Amplitude or similar analytics tools. Excellent stakeholder management and leadership skills; ability to influence cross-functional teams and engage senior stakeholders. Deep understanding of the Nigerian financial services regulatory landscape, particularly CBN guidelines on agent banking, POS acquiring, KYC and consumer protection. Bachelor’s degree in Business, Engineering or a related field; MBA or relevant certification (e.g., Certified Scrum Product Owner) is a plus. Benefits Renmoney is at the forefront of Nigeria’s digital banking revolution. We are democratizing financial services for millions of Nigerians and powering small businesses with innovative credit and savings solutions. As the Product Manager for Alternate Channels, you will: •          Build products that empower thousands of entrepreneurs and serve millions of customers. •          Own and grow a core engine of Renmoney's future; you are the CEO of your product with the autonomy to define roadmaps and the resources to execute them. •          Work on complex challenges alongside talented engineers, designers, marketers and risk professionals. •          Operate in one of the most dynamic and competitive fintech markets in the world, with the backing of an established and trusted brand. If you are ready to drive meaningful impact and build the next frontier of financial inclusion in Nigeria, Renmoney is the place to accelerate your career.

Location: New York, NY (HQ); San Francisco, CA 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 Growth engineering builds the systems and applications that power every growth channel at Ramp. As an engineer on this team, you’ll own foundational problems ranging from high volume data ingestion and interfaces to customer-facing applications and AI-powered workflows. You’ll partner closely with product, data, and design, and work directly with stakeholders across growth, sales, and finance. This role offers high ownership, broad technical scope, and the opportunity to directly shape Ramp’s growth engine and scale Ramp to its next millions of users. Check out our Engineering Blog https://builders.ramp.com/ to learn more about our tech stack, mission, and values! WHAT YOU’LL DO - Build software that helps grow Ramp to its next millions of users - Build and scale internal platforms and applications (e.g. workflow orchestration, incentives, sales and marketing apps) that power growth across the company - Design and maintain data ingestion and activation pipelines across Ramp products, internal business systems, external systems, and third-party data - Apply AI/LLMs to unstructured data processing, automation, personalization, and growth signal derivation - Drive business outcomes through experiments and metric-driven software development - Make thoughtful prioritization and scoping decisions around when to build custom solutions vs. leverage third-party tools - Work in a fast-moving, collaborative engineering team alongside partners in product, data, and design WHAT YOU NEED - Minimum of 3 years of experience in a software development role - Experience shipping fast, reliable applications using modern development tools and infrastructure - Comfort operating in a fast-paced, constantly evolving startup environment - Ability to improvise and develop creative solutions when standard approaches fall short; strong bias toward pragmatism in the face of uncertainty - Perpetual curiosity and a passion for continuously improving your craft NICE-TO-HAVES - Startup experience as a technical co-founder or early engineer - Experience with the modern data stack (e.g. ETL tools like Fivetran, workflow orchestrators like Airflow, data platforms like Snowflake) - Experience applying AI/LLMs in production environments - Strong perspective on the engineering development lifecycle (system design, documentation, testing, and long-term codebase health) - Experience building user-facing data or internal business applications - Familiarity with tools that power marketing and sales automation, personalization, and analytics 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

Workplace: fully About Utorg Founded in 2019, Utorg builds the infrastructure behind stablecoin payments: on/off-ramps, self-custodial wallets, and crypto cards. Over 2 million users across 130+ countries already buy, hold, and spend crypto through our app. On the B2B side, the same rails power 2,100+ platforms, with $2.4B+ moved to date. Fully MiCA-authorized across the EEA. PCI DSS Level 2 certified. Backed by Dragonfly, TA Ventures, and Hypra. We are an international team of young and ambitious professionals united by a passion for innovation and a belief in the decentralized world. And now, we are looking for a Head of Crypto Vertical who will strengthen our team and contribute to the success of our products and the bright future of Web3. Mission: Build and scale the crypto business line (crypto card, non-custodial wallet, trading) into an autonomous, high-growth vertical. Own the P&L and drive revenue, profitability, and sustainable, regulation-aware growth. What you will do: P&L ownership for the crypto vertical: budgeting, forecasting, pricing, margin management. Partnerships & BD: identify, negotiate, and close strategic deals (issuers/processors, liquidity, payroll/HR SaaS, neobanks, exchanges, aggregators, merchants). Market & regulation: track competitors, user behavior, and rules ( KYC/AML/MiCA, card schemes, on/off-ramps ) and turn insights into action. Team: own the hiring plan and build a lean business team from zero (growth/performance, BD/partnerships, ops/support). Set clear responsibilities and KPIs, coach for performance, and make tough calls when someone doesn’t deliver. Cross-functional leadership: align Product, Legal/Compliance, Ops, Data, and Marketing around clear commercial targets and SLAs. Reporting: present plans, numbers, and decisions to founders/execs. First 3–6 months (hands-on): You’ll run ops yourself, set up the initial processes (pipelines, SLAs, weekly KPIs, monthly P&L), and hire the core business team (growth, BD, ops). You’ll launch acquisition channels (target LTV/CAC ≥ 3 in one priority segment) along with the CMO and close the first 2–3 strategic B2B/B2B2C deals . Once ops are stable, you shift even more time to scaling and strategy. Requirements: 5+ years in fintech/crypto/payments/banking with GM / Head of BizDev / Head of Business-type ownership. Proven P&L delivery on revenue, profit, margin, and volume targets. Hands-on launching/scaling crypto payments/wallets/cards/trading (B2C and B2B/B2B2C). Strong command of unit economics (CAC, LTV, ARPU, margin, payback), pricing, and portfolio prioritization. Deep partnerships/BD track record: sourcing, negotiating, contracting, integrating, and making deals perform. Solid grasp of KYC/AML/MiCA , card-scheme, and on/off-ramp constraints; productive work with Legal/Compliance. Strong analytical skills (SQL/BI a plus) and clear executive communication in English. What this role is not: This is not a classic product manager or chief product officer role. What we offer: Established yet dynamic environment : We’re a well-rooted fintech company with several profitable products and structured business units. Historically strong in B2B2C across Europe, we’re now doubling down on building and scaling a consumer-facing crypto vertical Real traction, not just vision : Our non-custodial wallet and crypto card are already live with confirmed product-market fit in multiple segments (with strong revenue and 6-month retention metrics). Crypto IBAN is in development, and trading is at the concept stage. There's still untapped potential in segments we haven’t entered yet. Ownership and autonomy : This role is essentially a mini-CEO position. You’ll have full P&L ownership, a direct line to the founders, and the mandate to build a standalone business unit with a 2+ year strategic horizon. You'll shape product offerings, growth strategy, and go-to-market channels. Hands-on early stage, high leverage long-term : In the first 3–6 months, you’ll build the business team (growth/BD/ops), establish processes (pipeline, SLA, KPI, P&L), and drive predictable growth via performance marketing, brand, sales, and strategic partnerships. From there, it’s all about scale and long-term impact. Resources and support where it matters : You’ll get the budget and resources aligned with your roadmap, autonomy in decision-making, and influence over a broader fintech product portfolio (wallet, card, IBAN, trading) in one of the most promising markets: crypto in the EU.

Location: London, England 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? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence Identify areas where ML can create value for our customers Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research - Deeply understand the problem area Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? 5-8 years applied ML experience Previous background in a senior/staff role (data science, software development or academic) Significant, demonstrated impact that your work has had on the product and/or the teams Strong programming skills Experience as the primary technical leader for a team Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Bonus skills & attributes Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. 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, England 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? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3-5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding etc) Intermediate programming skills Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Bonus skills & attributes Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. 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: New York; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for Forward Deployed Engineers on our engineering team who want to work at the intersection of deep infrastructure work and direct customer impact. As an FDE, you’ll partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, sandboxing, and more, helping them design and ship production infrastructure on Modal’s platform. The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We’re looking for people with strong engineering fundamentals, deep curiosity across the infrastructure stack, and energy for working directly with customers on hard problems. WHAT YOU’LL WORK ON: - Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and deploy massive-scale production workloads on Modal - Lead technical discovery and architecture sessions with prospective and existing customers - Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal’s serverless platform - Collaborate with Modal’s product and sales teams, contributing to the platform as both an engineer and a product stakeholder - Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads) at companies doing frontier AI work - Conduct technical demos, experiments, and proofs of concept that make Modal’s infrastructure advantages tangible YOU MAY BE A FIT IF: - You have 3+ years of professional software engineering experience - You have hands-on experience with cloud platforms (AWS, GCP, Azure), including compute, storage, networking, and container orchestration (Docker, Kubernetes) - You’re familiar with distributed systems architecture, data pipelines, and Infrastructure as Code (Terraform, Pulumi, CloudFormation) - You’re a strong communicator who can go deep on systems architecture with an infrastructure team and clearly articulate tradeoffs to technical leadership - You have a genuine interest in working directly with customers: you find it energizing to understand someone else’s problem and help them solve it - You’re willing to work in person in New York City, San Francisco, or Stockholm NICE-TO-HAVE: - Experience leading large-scale migration efforts, open-source contributions, or side projects you’re proud of

Location: Dubai, United Arab Emirates AHS is a Dubai-based ultra-luxury real estate developer and investment group focused on high-end projects and ventures that are reshaping the city’s landscape. Working at the intersection of premium development and exceptional client experience, the business is committed to building lasting relationships across the customer journey. As Head of CRM, you will lead the customer relationship management function and shape how client engagement, retention, and satisfaction are delivered across the organization. This role has broad impact, combining CRM strategy, customer lifecycle oversight, data-driven decision-making, and close partnership with teams across the business to elevate the experience of a discerning clientele. Responsibilities Lead the customer relationship management function across the organization. Drive customer engagement, retention, and satisfaction through effective CRM strategies. Oversee CRM reporting, workflow automation, dashboard management, customer segmentation, and user adoption. Manage the complete customer lifecycle, from reservation and sales support through handover, post-handover care, and long-term relationship management. Oversee the Defect Liability Period process and coordinate with construction, maintenance, facilities management, and customer service teams to support timely issue resolution. Strengthen property handover processes, maintenance coordination, customer escalation management, and service recovery. Analyze customer data and translate insights into improved retention, satisfaction, and loyalty. Lead and develop high-performing CRM and customer service teams. Collaborate with Sales, Marketing, Development, Operations, Property Management, and Executive Leadership to improve the customer experience. Requirements Bachelor's degree in Marketing, Business Administration, or a related field; Master's degree is a plus. 7+ years of experience in CRM management. Proven expertise in CRM platforms such as Salesforce or Microsoft Dynamics, along with experience using marketing automation tools. Knowledge of customer data protection laws and compliance requirements. Fluent in English. Experience in luxury real estate or related industries is advantageous.

Location: US / Remote Workplace: remote About the Company CertiK is the largest blockchain security auditor and provides a comprehensive suite of tools to secure the industry at scale. To date, CertiK has worked with over 4,900 Enterprise clients, secured over $557 billion worth of digital assets, and has detected over 18,000 vulnerabilities in blockchain code. Our clients include leading projects such as OKX, Tether, Ripple, and Pancakeswap. Our investors include top VCs like Tiger Global, Coatue Management, Shunwei Capital and Hillhouse Capital as well as industry leaders like Coinbase Ventures and Binance. About the Role  We are seeking a Junior Blockchain Security Engineer with a strong security mindset and foundational technical expertise across smart contracts, blockchain nodes, and decentralized infrastructure. In this role, you will support Web3 projects by assisting in code audits, contributing to security tools, and conducting research under guidance. If you are eager to grow your career in blockchain security and passionate about securing decentralized technologies, we’d love to hear from you. Responsibilities Audit and review codebases for smart contracts, blockchain protocols, and decentralized applications (dApps) to identify and remediate vulnerabilities. Conduct guided security research, explore new attack vectors, and deliver actionable insights. Contribute to the design, development, and maintenance of internal security tools and frameworks. Support improvements to internal processes, methodologies, and service offerings, ensuring high-quality delivery for clients. Requirements Bachelor’s, Master’s, or PhD in Mathematics, Computer Science, or Information Security. At least 1 years of hands-on experience with blockchain technologies, including: Smart contracts (EVM chains, Solana, Move, etc.), Blockchain protocols (nodes, SDKs, Cosmos, etc.) Experience in threat modeling, risk assessment, and security analysis. Proficiency in one or more programming languages: Rust, Go, Solidity, Python, etc. Passion for Cryptocurrency, DeFi, and Blockchain technologies. Preferred Qualifications Solid academic or practical background in Mathematics, Cryptography, or Cybersecurity. Demonstrated experience conducting audits and collaborating with leading Web3 protocols. Recognized achievements such as published CVEs, or strong placements in Attackathons, Bug Bounties, or Audit Contests. Compensation Target annual salary for this role performed in the US is $102,000 - $180,000. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates. CertiK accepts applications for this position on an ongoing basis. CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles.  In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law.  CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf  All CertiK employees are expected to actively support diversity on their teams, and in the Company.

Location: Home based - EMEA The role of an Junior Campaign Manager at Canonical Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics or blockchain. Marketing at Canonical means being at the forefront of technology adoption, for our customers and for our own martech stack. We’re on the look out for a performance marketing manager to join our team and own our paid strategy. The ideal candidate will be passionate about technology, technology marketing and the use of technology in marketing. You will prefer to work in an environment that has emphasis on ownership of campaigns, collaboration, learning, curiosity and a drive to continually improve oneself / the team / the organisation. You will also love to problem solve, get hands-on, experiment, measure and use automation to make daily life easier. The Marketing team at Canonical drives commercial outcomes for the company across its portfolio of products and grows the addressable market through digital marketing campaigns, lifecycle management, events, partnerships and community development. If these things are important to you and you're motivated by driving growth, delighting customers and filling the sales funnel, we want to talk with you. This role sits in the Marketing team reporting to the Growth Engineering Manager. Location: This role will be based remotely in the EMEA region. What your day will look like Support marketing team members with setting up and monitoring paid campaigns Monitor paid ads performance and budgets across the Marketing team Build on automation and AI to improve paid ads performance Develop Canonical's adtech stack to industry leading standard What we are looking for in you Familiarity with ad platforms (Google, LinkedIn, Meta...) Familiarity with campaign tracking and analytics tools Experience driving successful lead generation campaigns. Experience with A/B testing and data-driven decision making. Exceptional interpersonal skills and aptitude for forging trusting relationships across diverse, cross-functional teams Proven ability to prioritise and differentiate what matters from the noise, meeting deadlines without sacrificing quality A growth mindset - someone who is not afraid to think big and take on risks Engagement with the latest trends in marketing technology Willingness to travel up to 4 times a year for internal events Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. 🏠Fully remote working environment - we’ve been working remotely since 2004! 📚Personal learning and development budget of 2,000 USD per annum 💰Annual compensation review 🏆Recognition rewards 🏝 Annual holiday leave 👶Parental Leave 🧑‍💼Employee Assistance Programme 🧳Opportunity to travel to new locations to meet colleagues at ‘sprints’ ✈️Priority Pass for travel and travel upgrades for long haul company events Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: San Francisco, CA, New York City, NY, Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for seasoned iOS engineers to join our Claude mobile product team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential. Key r esponsibilities Architect and implement cutting-edge iOS applications Develop novel solutions leveraging AI technologies Optimize performance at all levels of the mobile stack Champion best practices in mobile development Obsessive attention to detail and app experience Contribute to backend systems as needed Originate new product bets and own them from idea to launch Cut a vague direction down to the leanest real version one Minimum qualifications Expertise in Swift, UIKit, SwiftUI, and iOS frameworks Proficiency with the latest mobile platform capabilities and intricacies Practical experience with full-stack development and comfort working with backend technologies A track record of shipping impactful, high-adoption mobile applications Strong communication and mentorship skills Thrived in a fast-paced, collaborative environment and and enjoy working closely with cross functional partners and teammates Preferred qualifications 0-to-1 experience building successful products in early-stage environments Experience building applications that utilize modern ML/AI technology 3D graphics, visual effects, and audio and video streaming on mobile A vision for the future of human-machine interaction and a drive to make that vision a reality The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for seasoned Android engineers to join our Claude mobile team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential. Key responsibilities Architect and implement cutting-edge Android applications Develop novel solutions leveraging AI technologies Optimize performance at all levels of the mobile stack Champion best practices in mobile development Obsessive attention to detail and app experience Contribute to backend systems as needed Originate new product bets and own them from idea to launch Cut a vague direction down to the leanest real version one Minimum qualifications Expertise in Kotlin, Jetpack Compose, Android SDK and the broader Android ecosystem Proficiency with the latest mobile platform capabilities and intricacies Practical experience with full-stack development and comfort working with backend technologies A track record of shipping impactful, high-adoption mobile applications Strong communication and mentorship skills Thrive in a fast-paced, collaborative environment and enjoy working closely with cross functional partners and teammates Preferred qualifications 0-to-1 experience building successful products in early-stage environments Experience building applications that utilize modern ML/AI technology 3D graphics, visual effects, and audio and video streaming on mobile A vision for the future of human-machine interaction and a drive to make that vision a reality The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Workplace: hybrid About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.   About Truv by Checkr Truv by Checkr delivers real-time income and employment verification to government agencies. State Departments of Health, Social Services, and Health and Human Services use our platform to verify eligibility for programs like SNAP, Medicaid, TANF, and child support faster, more accurately, and with less burden on the residents they serve. Backed by Checkr’s scale and our secure, API-first platform for payroll data access, we’re replacing manual, paper-heavy verification processes with modern infrastructure built for the public sector.   About the Role  We’re hiring a Staff Product Manager to own the end-to-end client experience for Truv by Checkr’s government business, from contract signature through go-live and sustained adoption. Your focus is activation. You’ll make it dramatically faster and easier for agencies, system integrators, and their developers to get to live verifications, and to keep getting value afterward. You’ll lead client onboarding and activation across engineering, design, implementation, and customer success, and shape how Checkr scales its government business. You’ll work directly with agency program leaders, eligibility caseworkers, and integration partners, and turn their feedback into products that remove friction at every step. What You’ll Do: Own the activation journey end to end. Define and improve every stage of the agency lifecycle after contract: onboarding, implementation, configuration, go-live, and post-launch adoption. Partner with Sales so the demo sets agencies up for a smooth start. Build toward a self-serve experience wherever possible. Reduce time to go-live. Find the bottlenecks between contract and first live production verification, whether they’re technical, procedural, or organizational, and ship products that remove them. Build for every type of client user. Design configuration and customization capabilities in the Truv dashboard for agency administrators, caseworkers, and technical teams who rely on it for day-to-day operations and reporting after go-live. Elevate the developer and integrator experience. Partner with agency IT teams, system integrators, and eligibility system vendors to streamline integration, including documentation, sandbox environments, best practices, and implementation tooling. Measure and improve client health. Define activation and adoption metrics, build visibility for internal teams and clients, and use the data and client behavior to prioritize and ship improvements quickly after launch. Bring the voice of the agency into the roadmap. Run user research and usability testing with agency staff and end users. Gather feedback from implementation and go-live, and turn it into clear, prioritized product plans. Partner on compliance and security. Work with compliance, legal, and security teams to make sure onboarding and data flows meet public sector requirements. Lead through influence. Align product, engineering, design, implementation, customer success, sales, and marketing around a shared activation strategy. Mentor other PMs and raise the bar for product craft across the team. Who You Are: Required: A Bachelor’s degree in Business, Computer Science, or a related field, or equivalent experience. 8+ years of product management experience, including ownership of B2B or B2G onboarding, activation, implementation, or developer experience products. Experience shipping products in regulated, multi-stakeholder environments such as government, healthcare, insurance, or financial services, where compliance, security, or third-party partners shaped what you built. A record of improving time-to-value metrics (time to go-live, activation rate, adoption depth) with quantified results, and the analytical skill to define the right metrics and turn data into product changes. Comfort with technical products. You can partner closely with engineers and talk credibly with client developers about APIs, integrations, and configuration. Hands-on experience with user research and usability testing, and with experimentation where it’s appropriate. An excellent operator who manages competing priorities, synthesizes input from many stakeholders, and delivers in a fast-paced environment. Clear, structured written and verbal communication with audiences from agency executives to caseworkers to engineers. Strong plus: A record of delivering products used by state or federal agencies. Experience with public benefits programs (SNAP, Medicaid, TANF, child support) or eligibility systems. Experience at a startup or high-growth company. How We’ll Measure Success: Reduced time from contract signature to go-live for new agency clients. Higher activation and adoption rates across onboarded agencies. A greater share of onboarding and configuration completed through self-serve. Improved verification conversion and reliability in live agency deployments. Positive feedback from agency clients and integration partners on onboarding, usability, and support. High-quality launches delivered on time. What We Offer: A fast-paced and collaborative environment Learning and development allowance Competitive cash and equity compensation, and opportunity for advancement 100% medical, dental, and vision coverage Up to $25K reimbursement for fertility, adoption, and parental planning services Flexible PTO policy Monthly wellness stipend At Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location.   Equal Employment Opportunities at Checkr Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance. Applicant Privacy Policy If you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process. For applicants in Massachusetts: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. *Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com). On-target Earnings OR Base Salary range (San Francisco, CA). We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, seeour website.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software. The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will support one of these areas while contributing across others, with your focus shaped by your strengths and the team's priorities. Responsibilities: Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies. Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement Identify and remediate security gaps through code review, threat modeling, and hands-on debugging Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation You may be a good fit if you have: At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production Bachelor's degree in Computer Science or equivalent industry experience Strong programming skills in Python or at least one systems language such as Go or Rust Experience contributing to cloud security controls A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix Clear communication skills and the ability to work collaboratively across engineering teams Low ego and high empathy, with a genuine interest in helping teammates succeed Passion for AI safety and the role security engineering plays in building trustworthy AI systems Strong candidates may also have: Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers Experience with cloud security posture management tooling, infrastructure-as-code security scanning, or automated remediation Experience with network security and isolation techniques including east-west controls, traffic inspection, and cloud network policy Experience with eBPF for security monitoring and enforcement, or developing kernel security policies Experience building secrets management or workload authentication systems, including familiarity with protocols such as OAuth 2.0, OIDC, SAML, or SPIFFE/SPIRE Background building or operating security systems in environments that support research workflows and rapid iteration 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: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - Worldwide Whippy is leading the way in AI-powered business communication, transforming how companies engage with customers using intelligent AI Agents. From customer support to marketing to sales, businesses rely on Whippy’s Voice AI and Chat AI to eliminate manual workflows—responding to inquiries, nurturing leads, screening job applicants, and automating high-value interactions at scale. By combining AI-driven messaging with omni-channel automation, Whippy replaces outdated tools with a single, powerful platform that helps businesses work smarter, faster, and more efficiently. ABOUT THE ROLE As an Engineering Manager at Whippy, you will: Start by spending at least one-third of your time coding and building new product. Over time, you will work with the CTO to manage and scale our engineering team and best practices. Somethings you should have experience doing are. - Working and communicating with a team in a remote environment. - Conduct regular 1-1s and help unblock engineers as needed. - Help to manage a hiring pipeline and conduct technical interviews. - Conduct code reviews and aid engineers in releasing new features quickly and reliably. ABOUT YOU 1+ years of experience as an engineering manager at a start-up in a remote engineering team environment. A desire to be a part of the entire project development process. From research gathering and planning to implementation and monitoring. Great written and verbal communication skills for expressing ideas, designs, and potential solutions in a mostly asynchronous manner. WHAT DO WE OFFER? Compensation is $80K-$100K/year based on experience Opportunity to take on significant responsibility and ownership in a highly disruptive product. Working hands-on with serial entrepreneurs who have created $100M+ valued companies WHAT TO KNOW? To provide transparency, here are some important points to note about the position: - We are a startup, and our team dynamics differ from those of companies in different sizes and stages. Our team is distributed across the globe, and this distributed nature will continue to grow. This means that there is always something happening, so effective time management in a remote and asynchronous engineering environment is essential. - While English is the second language for many engineers on the team, fluency in written English is a requirement. While fluency in spoken English is also a plus, if you are not confident in your written English ability, please do not apply. - We hire globally regardless of timezone, but we have team meetings on Mondays and Fridays at 2:30 pm GMT. If you are unable to be online during these hours, please do not apply. - Pay is determined by role, level, location, and alignment with market data. Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, and the abilities of the candidate. WHAT’S THE PROCESS? Here's the entire process if selected after a CV screen. 1. Submit your Resume or CV 2. Video call to talk about your experience and the role. 3. Meet the team and review work. 4. Full Time Position Offer extended.

Location: Tunis, Tunisia Dentons is designed to be different. We are driven to always be the firm of the future, to challenge the status quo, and to provide holistic business solutions to our clients in new and innovative ways. We are the lightbulb moments. The bold ideas. We are the world's largest global law firm, with 12,000+ people across 80+ countries. Driven by the diverse perspectives of our people, our clients, and our communities, we combine local knowledge with global insight. We are seeking a dynamic and results-oriented Bilingual Business Developer to strengthen our firm’s strategic market position and expand our client portfolio. Working under the supervision of the Director of Operations and External Relations and in close coordination with our lawyers, the Business Developer will design and implement business strategies that align with our legal service offerings and market needs. This role is ideal for a professional who thrives in a fast-paced, relationship-driven environment and is fluent in both French and English. Responsibilities Client Portfolio Development and Management Identify new business prospects and convert leads into long-term clients Build, manage, and retain strong relationships with existing clients Conduct client follow-ups to ensure satisfaction and identify new needs Create and manage a client relationship tracking system Market Analysis and Commercial Strategy Conduct local and international market research to identify new business opportunities Analyze trends, competitor positioning, and sector developments Develop and propose commercial action plans aligned with firm priorities Work with lawyers to align business strategy with areas of legal expertise Commercial Presentations and Proposals Draft and present tailored proposals based on identified client needs Prepare and deliver persuasive presentations in both French and English, for internal and external audiences Coordinate input from legal and operations teams to prepare comprehensive client-facing materials Support proposal development for tenders, RFPs, and panel submissions Requirements Required Experience: Bachelor’s or master’s degree in business, Law, Management, or a related field Fluent in French and English, with strong written and verbal communication in both languages 2 to 5 years of experience in business development, sales, or client relationship management, preferably in professional services or legal sector Strong ability to craft compelling business proposals and presentations Excellent interpersonal, persuasion, and negotiation skills Proficient in Microsoft Office Suite (Word, Excel, PowerPoint) and CRM systems Experience working in cross-functional or international teams Key Competencies: Business Acumen: Understands the legal industry and can translate service offerings into client value Client Centricity: Focused on building and sustaining long-term relationships with clients Market Intelligence: Strong skills in research, trend analysis, and identifying strategic opportunities Strategic Planning: Ability to create actionable plans based on data and market knowledge Communication & Presentation : Clearly conveys messages, ideas, and proposals to a variety of audiences in both French and English Sales & Negotiation: Skilled in persuasive selling, objection handling, and closing deals Collaboration: Works effectively with lawyers, operational teams, and leadership to drive business goals CRM & Data Management: Ability to manage and leverage client data through CRM tools Personal Skills and Attributes: Confident, self-motivated, and autonomous with a proactive mindset Organized and detail-oriented, with the ability to manage multiple priorities and deadlines High level of professionalism, diplomacy, and cultural sensitivity Resilient and adaptable in dynamic or ambiguous environments Strong sense of initiative, curiosity, and continuous improvement Able to build trust-based relationships with both internal teams and external stakeholders The above is intended to describe the general content of and requirements for the performance of this job.  It is not to be construed as an exhaustive statement of essential functions, responsibilities or requirements. Benefits Remuneration and benefits package will reflect the successful candidates experience and competencies.