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Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a software engineer to join our GTM Engineering team. You will build AI apps and workflows that drive revenue. You’ll partner closely with Sales, Marketing, Success, and Data to find opportunities and ship novel solutions with Vercel’s AI Cloud. You will report to the Director of GTM Engineering and will be remote. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Ship code daily using the Vercel AI Cloud Discover user pain and ship high-impact solutions Collaborate with top performers in GTM departments and ship their best practices to the org with systems Test new features and give feedback to engineering Publish best practices and guides on using Vercel’s AI Cloud What you need Have shipped a Next.js app to production with users Have 4+ years of full-stack development experience Familiar with the Vercel ecosystem Experience working with AI models and APIs (e.g., OpenAI, v0 API, Anthropic) Bonus if you Have built an AI agent Have automated repetitive tasks with AI Have built features with the AI SDK Have published blogs/videos explaining technical concepts Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $180,000 - $295,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale. Some of these companies build products on Claude that they sell to the rest of the industry, and others do the science themselves and want Claude woven into how their own research runs, and this role works with both. You'll lead deep technical engagements, partnering directly with startup engineering and scientific teams to help them build their products on Claude and run their own research with it, advising on implementation and agent design as they build what is newly possible with AI in the life sciences. You will bridge the gap between what Claude can do and what the life sciences need, working alongside some of the strongest teams in the field on problems that matter and pushing the boundaries of AI in science as you go. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your scientific domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable life sciences startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential life sciences and biotech startups, whether Claude sits inside the product they sell or inside the way they make discoveries, working alongside them to build innovative use cases that push the boundaries of AI in scientific research and development Work hands-on with startup engineering teams and their scientists through pair programming and architecture reviews that accelerate their development, and understand their scientific workflows end to end so that your guidance fits into real research pipelines Develop prototypes and technical documentation, including evaluation suites, scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, such as example MCP servers for domain-specific data sources like genomics platforms, literature databases, and experimental repositories, along with agent skills for common scientific workflows Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about deploying AI in the life sciences such as heterogeneous data, auditability requirements, and the gap between a working prototype and a system that scientists trust, and contribute insights back to Product, Engineering, Research, and the broader Applied AI team, including feedback on the model capabilities and product features that would most accelerate discovery work Create technical content for startup audiences including documentation, tutorials, and sample code Represent Anthropic across the life sciences startup ecosystem and foster community engagement through hackathons, webinars, technical office hours, in-person founder events, and research show and tells Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep experience in the life sciences or biotech, gained through research or industry work in areas such as genomics, drug discovery, molecular design, lab automation, or clinical development, along with strong opinions of your own about how to bridge the gap between what AI can do today and what the life sciences need 4+ years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real scientific work in the lab or in research Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both engineering and scientific audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the ability to context-switch across scientific domains and use cases, and a passion for making powerful technology safe and beneficial 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: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We are seeking a strategic and creative Partnerships Product Marketing Manager to drive the success of our partner ecosystem. In this role, you will work closely with our partnerships team and with leading technology companies including NVIDIA, Cloud Hyperscalers, Neocloud providers, and emerging ecosystem players, to bring differentiated joint solutions to market. You will be responsible for shaping partner narratives, creating impactful content, and enabling joint go-to-market programs that amplify our reach. The ideal candidate combines storytelling skills, technical acumen, and the ability to collaborate across partner and internal teams. RESPONSIBILITIES - Partner Storytelling & Content - Develop compelling blog posts, white papers, solution briefs, and customer success stories highlighting the value of joint solutions. - Translate technical integrations into clear, differentiated messaging for both technical and business audiences. - Enablement & Training - Build and deliver enablement programs to arm partner sales teams with the tools, messaging, and collateral they need to position and sell our solutions. - Create sales playbooks and battlecards tailored to each partner’s ecosystem. - Joint Go-to-Market Campaigns - Plan and execute co-marketing campaigns with partners, including webinars, events, solution launches, and demand-generation activities. - Manage partner marketing calendars and ensure alignment with key product milestones. - Cross-Functional Collaboration - Work closely with product marketing, product management, DevRel, and growth marketing, events and sales to align messaging and GTM initiatives. - Serve as the marketing point-of-contact for the partnerships team. REQUIREMENTS - 6-10 years of experience in product marketing, partner marketing, or related roles in B2B technology. - Experience with NVIDIA technology and ecosystem or Cloud Providers technology - Track record of working with cloud providers, ISVs, or hardware partners in joint go-to-market programs is a plus. - Exceptional written and verbal communication skills; ability to create high-quality content across multiple formats. - Strong program management skills with the ability to handle multiple partners and campaigns simultaneously. - Technical curiosity and ability to quickly learn new technologies and ecosystems. - Comfortable working in a fast-paced, high-growth environment. NICE TO HAVE - Familiarity with developer ecosystems, APIs, and modern software development practices. - Knowledge of AI/ML infrastructure, model serving, and performance optimization concepts. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Berlin Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Adoption of AI is moving rapidly from pilots to production. Enterprises and public sector organizations are investing in generative-AI programs, creating a once-in-a-decade market inflection point. At Cohere, we're committed to transforming the enterprise landscape through strategic partnerships and innovative AI solutions. As a Partner Development Manager for Germany and the DACH Region focused on the Public Sector & Enterprise Market, you'll be at the heart of our mission to empower businesses and government entities across the region with cutting-edge AI technologies. This role is perfect for someone who thrives in a dynamic, cross-cultural environment and is passionate about driving growth through collaboration. You'll work closely with leading enterprises, system integrators, technology partners, and public sector organizations to co-create value, expand market reach, and deliver impactful AI solutions tailored to the unique needs of businesses and government agencies. Your work will directly contribute to our success. You'll have the opportunity to shape partnerships that drive digital transformation in both commercial and public sectors, foster innovation, and position Cohere as a leader in the AI ecosystem. If you're a strategic thinker, a relationship builder, and eager to make a meaningful impact in one of the world's most dynamic markets including the public sector, this role is your chance to shape the future of AI. KEY RESPONSIBILITIES PARTNER STRATEGY & EXECUTION - Define and execute Cohere's partner go-to-market plan for the Enterprise & Public Sector Market, aligning with regional business objectives. - Partner with the broader GTM team to identify and recruit high-impact partners across system integrators, distributors, resellers, ISVs, cloud providers, and public sector consultancy firms. - Develop relationships with key stakeholders across the partner ecosystem, including government agencies, municipalities, and public sector institutions, to ensure partnership success. PARTNER ONBOARDING & ENABLEMENT - Lead partner onboarding, certification, and training programs to ensure partners are equipped to sell, deploy and manage Cohere's solutions effectively for both commercial and public sector customers. - Collaborate with enablement to scale partner enablement through sales and technical workshops, empowering them to deliver value to enterprise customers and government agencies. PIPELINE GENERATION & CO-SELLING - Own joint pipeline generation by creating co-sell motions, solution plays, and strategic joint go-to market motions that align Cohere's capabilities with enterprise mission needs and public sector procurement cycles. - Collaborate with partners to identify and pursue high-value opportunities in both commercial and government contracts. BUSINESS PLANNING & PERFORMANCE TRACKING - Ensure partners are aligned with Cohere's strategic goals and performance metrics, including public sector compliance and reporting requirements. - Run joint business planning sessions and quarterly business reviews (QBRs) with partners, tracking sourced and influenced ARR against targets. PARTNER ADVOCACY & FEEDBACK - Serve as the voice of the partner within Cohere, relaying feedback to Product, Engineering, and Legal teams. - Work with Cohere's Public Policy teams to navigate government AI policies and regulations to advise partners on risk management and responsible AI best practices for the public sector. THOUGHT LEADERSHIP & EVANGELISM - Evangelize Cohere's vision and solutions at partner and industry events, positioning Cohere as a leader in responsible GenAI for both commercial and public sector markets. - Build thought leadership through briefings, speaking engagements, and collaborative initiatives focused on AI in government and public services. WHY YOU'LL LOVE THIS ROLE This is a high-impact role where you'll shape the future of AI partnerships in both commercial and public sectors. You'll work at the intersection of technology, business, and policy, driving growth while ensuring responsible AI adoption across enterprises and government organizations. If you're passionate about building strategic alliances, driving innovation, and making a difference in one of the world's most dynamic markets including the public sector, this is the role for you. WHAT WE'RE LOOKING FOR - 8+ years of experience in partner development, channel sales, or alliance management within the tech industry, preferably in AI or cloud solutions, with a track record of enterprise ARR contribution and public sector partnerships. - Deep understanding of public sector organizations, government agencies, and municipal institutions, plus the enterprise market and key industry verticals. - Strong relationship-building and negotiation skills, with a track record of driving partner success in both commercial and public sector environments. - Experience and demonstrated depth with Sovereign Cloud GTM. - Ability to navigate complex regulatory and compliance landscapes, including AI ethics, government policies, and public sector procurement requirements. - Working understanding of AI (LLMs, retrieval-augmented generation, agentic workflows) and their applications in enterprise and public sector contexts. - Experience working with major system integrators, global consultancies, hyperscalers, and public sector technology partners including joint GTM and co-sell motions. - Excellent communication and presentation skills, with the ability to evangelize Cohere's vision to partners, government stakeholders, and industry organizations. - Results-driven growth mindset and bias for action. You thrive in a start-up-speed environment and enjoy building and scaling partner programs across commercial and public sectors. This role is ideal for someone who enjoys working in a dynamic, cross-cultural environment and wants to make a meaningful impact on how AI transforms both businesses and public services. The Berlin location provides access to a vibrant tech ecosystem with strong connections to European public sector initiatives and government partnerships. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: New York, New York, United States About the Role iCapital is seeking a Senior Vice President, Client Delivery to lead a significant portion of the Broker Dealer channel within the growing Annuities Platform team. Reporting to the Managing Director and Chief Delivery Officer, this individual will be responsible for driving successful client implementations, delivery excellence, operational performance, and client satisfaction across one of the firm's most strategic growth areas. This role will oversee Client Delivery leaders and their teams, supporting onboarding, implementation, and ongoing client delivery for broker-dealers, wirehouses, banks, RIAs, insurance carriers, and other financial institutions. Responsibilities Lead and develop Client Delivery leaders and their teams responsible for implementations, onboarding programs, and ongoing client delivery while fostering a culture of accountability, ownership, execution excellence, and client focus. Own delivery performance across a portfolio of strategic client relationships, implementations, and delivery programs, ensuring milestones, commitments, client expectations, and business objectives are consistently achieved. Establish governance frameworks, operating rhythms, performance management practices, and executive reporting processes that improve execution, scalability, and organizational effectiveness. Serve as an executive sponsor for strategic client relationships, critical implementations, and complex delivery initiatives, building trusted partnerships with senior client stakeholders and sponsors. Lead executive steering committees, governance meetings, implementation reviews, and client-facing discussions while delivering executive communications, presentations, status updates, and recovery plans. Act as the senior escalation point for complex client situations, implementation challenges, and delivery issues, personally engaging when additional leadership involvement is required. Identify risks, diagnose root causes, and drive practical solutions across teams to proactively address issues before they impact client outcomes. Direct project recovery efforts involving timeline, scope, resource, performance, or stakeholder challenges while maintaining confidence and alignment among key stakeholders. Partner closely with Product, Technology, Operations, Sales, Account Management, and Support teams to align priorities, resources, and execution plans that drive successful client outcomes. Translate implementation insights, delivery learnings, and client feedback into operational improvements, process enhancements, and product recommendations. Drive resource planning, forecasting, operational efficiency, invoicing oversight, capacity management, and delivery performance measurement across the organization. Improve implementation methodologies, delivery processes, governance standards, and the overall client experience to support growth and scalability. Qualifications 15+ years of experience leading client delivery, implementation, professional services, consulting, operations, or other complex client-facing organizations Proven success leading large-scale client implementations, enterprise programs, and complex delivery portfolios Demonstrated ability to lead and build high-performing teams, drive accountability and performance across organizations Strong executive presence with experience managing senior client relationships, executive stakeholders, steering committees, and governance forums Exceptional communication and presentation skills, including experience developing executive updates, governance materials, recovery plans, and client-facing presentations Proven ability to solve complex business, operational, and delivery challenges while maintaining strong client relationships and stakeholder confidence Experience leading escalations, project recovery efforts, and cross-functional execution within complex, fast-paced environments Strong operational, financial, organizational, forecasting, and resource management capabilities Experience within annuities, insurance, wealth management, broker-dealers, wirehouses, fintech, or broader financial services organizations Strong understanding of the annuity distribution ecosystem, financial institution operating models, and client implementation lifecycles Experience working with broker-dealers, insurance carriers, banks, RIAs, wealth management firms, or enterprise financial institutions Experience with FireLight or similar annuity, insurance, point-of-sale, e-application, new business, or distribution technology platforms Benefits The base salary range for this role is $180,000 to $210,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Product Manager on Twilio’s Onboarding and Compliance product team. About the job Twilio is looking for a highly skilled and motivated Product Manager to join our Onboarding and Compliance product team to manage Porting, Hosting, and ShortCodes. In this role, you will lead the product strategy, roadmap, and delivery for the core capabilities that allow customers to onboard, migrate, and maintain their numbers globally. You will focus on scaling automated self-service workflows, strengthening fraud and regulatory compliance guardrails, and migrating legacy capabilities onto modern platform architectures. Responsibilities In this role, you’ll: Own and execute the product vision, roadmap, and quarterly planning for Hosting, Porting, and ShortCodes product suites. Translate complex operational, regulatory, and technical requirements into PRDs for engineering teams. Develop, communicate, generate excitement for and obtain buy-in of the product vision, strategy, and roadmap. Partner with GTM to launch products and enable sales and marketing teams to obtain product adoption and growth. Conduct regular data-driven business reviews that analyze product execution and revenue/market accomplishments. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 4+ years of product management experience delivering scalable SaaS, PaaS, or IaaS products Proven track record of leading successful product launches and driving product strategies Command of analytical thinking skills with the ability to use quantitative and qualitative data to make product decisions, get executive buy-in, and drive towards measurable outcomes Excellent communication and interpersonal skills, with the ability to influence and collaborate at all levels and present effectively to internal and external stakeholders Strong technical, analytical, and UI/UX design understanding and the ability to dive deep while also keeping perspective on the big picture goals Initiative, ownership, and accountability to decode vague priorities, manage conflicting inputs, and drive initiatives forward against ambiguous and complex challenges Bachelor in Computer Science, Engineering, or equivalent practical experience Desired: Experience building products/services related to APIs, developer experience Experience working in a regulated ecosystem Location This role will be remote and based in the United States, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $128,560 - $160,700 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $136,000 - $170,000 Based in the San Francisco Bay area, California: $151,120 - $188,900. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 10/26/2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: 🇧🇷 São Paulo / 🌎Remote Workplace: Remote A little bit about us: We are Belvo, an open finance API platform with the bold vision of democratizing access to financial services in Latin America. We enable any financial innovator to access and interpret financial data, as well as initiate payments from their end-users accounts. We’re turning the messy complexities of the Latin American financial ecosystem into a modern set of tools to access and interpret data and move money in a seamless and secure way. We’re a highly-technical, passionate, and driven team. We are more than 90 people and our team currently represents 20 nationalities. We have offices in São Paulo and Mexico City – while a large portion of us work remotely. We are tackling a very stimulating problem: connecting fintech innovators with legacy financial infrastructure. We strive to go beyond the limits of what is possible today and to do so in an elegant and developer-first way. Since starting our adventure in May 2019, we have raised $71m from the leading VC investors globally. You can read more about our company here https://belvo.com/about/ and about our team and culture here https://belvo.com/careers/. Also, head to our blog https://belvo.com/blog/ for more news about what we’re building and how we work https://belvo.com/blog/category/working-belvo/. About the team: - We work in cross-functional, autonomous teams. We follow continuous delivery best practices executed on top of a modern technology stack.  - Our products are built for developers, by developers. Technological excellence is at the heart of what we do.   - We are pragmatic and customer-focused. We strive to find the right set of trade-offs in order to validate our hypothesis as early as possible, iterating on our products based on customer feedback.  - We communicate transparently. We do weekly all-hands where we get together to discuss company performance and goals. - While we are global and remote-friendly, we also operate from our vibrant offices in CDMX and Sao Paulo. To accommodate the various time zones in which we are based, we ensure we’re always synced up for at least 3 hours per day. - Also, we are backed by some of the leading investors in Silicon Valley and Latin America, including Founders Fund, Kaszek Ventures, and YCombinator. The challenge The Intelligence Squad is Belvo's AI enabler team. One part of the squad builds the platforms and patterns that let every team at Belvo ship AI. This role sits in the other part: turning the financial data and payments we aggregate across Latin America into models that make real decisions, who looks creditworthy, which transaction is fraudulent, what category a payment belongs to, whether an income statement checks out. That data drives real financial outcomes for the people and businesses on the other end, so the bar for rigor is high. You'll be the data science reference in the squad. We're not hiring someone to execute a modeling backlog someone else wrote. We want someone who decides which problems are worth modeling, defines how we know a model is good enough, and raises the data science bar for everyone they work with. You'll be deep enough in statistics and ML to defend a modeling choice to anyone, whether this is a set of rules to simplify a problem or a complex model that you build. You'll be close enough to the business to turn a commercial problem into a modeling roadmap and a business case. And you'll be a strong enough engineer to take your models from notebook to production and own them there. Responsibilities - Model development and selection: Lead the design of statistical and ML models (classification, regression, ranking, NLP or LLM-based) for problems like risk scoring, fraud detection and transaction categorization. Choose approaches on their merits and defend those choices with data, not habit. - AI-leveraged delivery: Use agentic coding and research tooling as a core part of how you work: exploring data, generating and testing feature hypotheses, scaffolding pipelines, writing the service around the model. We care about the decisions you ship, not hours at the keyboard, and we expect you to keep compressing the gap between the two. - Feature engineering with business context: Work with Product and the business teams to figure out which signals in Belvo's financial data actually explain the outcome you're modeling, and translate an ambiguous business question into a well-scoped modeling problem. - Productionization and ownership: Take models past the notebook. Build or shape the pipelines, APIs and services that run them reliably in production, and own them once they're live: monitoring, drift, retraining, and retirement when the evidence says so. - Experimentation: Design and run experiments (A/B tests and offline evaluation) to confirm that a model change actually moves the metric it's meant to move. - Cross-functional partnership: Work closely with Engineering, Data Research, Product, and the rest of the Intelligence Squad to ship end to end, and with stakeholders across the business to keep your models grounded in what actually matters to them. - Business and customer partnership: Work directly with stakeholders and, when needed, customers. Translate ambiguous business questions into well-scoped problems, and explain trade-offs and impact clearly to non-technical audiences, executives included. - Staying current: GenAI moves weekly. We expect you to be genuinely plugged in: model releases, papers, and tooling, to hold an opinion on what's real versus hype, and to bring the useful parts back to the squad as a demo, a doc, or a session for our company-wide AI Chapter. - Framing the problem: Decide what's worth modeling. Push back when a rule, a heuristic, or a better data pipeline solves the problem without a model, and be willing to kill or retire your own model when the evidence says so. This position may be for you if - 5+ years of experience as a Data Scientist, Applied Scientist, or in a similar hands-on modeling role. - You've owned models end to end in production, from framing the problem to monitoring it live, and you can point to the measurable business impact they had. - You have a solid grounding in statistics and can explain how your models work at that level, not just how to call them. - You've built and compared more than one type of model (for example tree-based methods, regression, deep learning) for the same problem and can justify why you picked the one you shipped. - You're comfortable in Python for data science (pandas, scikit-learn, and at least one of TensorFlow or PyTorch) and in SQL for pulling and shaping your own data. - You've taken several models you built into production yourself, not just handed it off to someone else to deploy.You http://deploy.You understand engineering fundamentals: testing, version control, CI/CD, and how to write code someone other than you can maintain. - You've built with LLMs past the API-call level: tool use or agents, retrieval, structured outputs, and shipped at least one to production. You can explain how you knew it was good enough, which means you've built some form of evaluation, not just eyeballed outputs. - Agentic coding tools are part of your daily workflow, not a novelty. You can walk us through a specific task that used to take you days and now takes hours: how you set it up, what you delegated, and where you still don't trust the output. - You're proficient in written and spoken English. Amazing if - You've worked in fintech, financial risk, or another regulated data environment before. - You have a business or strategy background alongside data science (an MBA, consulting, or a product/strategy role). - You've worked in a customer-facing data science role, such as a forward-deployed engineer or a solutions/applied team at a data platform company. - You've worked with MLOps tooling for model versioning, monitoring, and automated retraining. - You've deployed models on AWS (for example SageMaker or an equivalent managed ML service). - You've written evals or an LLM-as-judge harness for a non-deterministic system, and have opinions about where that approach breaks. - You've used LLMs inside the data pipeline itself: labeling, extraction, categorization, and can say where they beat a classical model and where they quietly don't. Tech stack - Python is our primary language for data science and modeling (pandas, scikit-learn, and deep learning frameworks as needed). - SQL against a cloud data warehouse for data access and feature work.Claude deployed company-wide and Claude Code for every engineer. Agentic tooling is part of how we work daily, not a side experiment. - Cloud infrastructure on AWS, favoring managed services so you can focus on the modeling problem rather than infrastructure plumbing. - An experimentation platform for A/B testing and offline evaluation. - We use Datadog for service observability across the company. - We follow Continuous Integration and Continuous Delivery best practices. Our tech stack: - We’re building our platform using modern technologies, putting the focus on reliability and long-term maintainability - We primarily use Python on the backend. We use battle-tested technologies such as Django, and we are heavy users of Python’s asyncio for some parts of our stack - We use Javascript, Vue.js and Sass on the frontend. We are developing and leveraging our own design system and component library - We run our infrastructure on top of Amazon Web Services, leveraging managed services. We tend to favor the use of managed services wherever possible, in order to focus on our business problems - We observe and monitor our services using Datadog - We follow Continuous Integration and Continuous Delivery best practices Our process steps: At Belvo every hire is so important to us, that we share the decision to hire as a team. - People team chat - Take-home challenge - Challenge presentation - Team fit chat - Meet the founders Our perks: 🚀 Stock options (we are all owners and this is very important to us) 📈 Annual company bonus linked to company performance 🔆 Flexible working hours 🔝 Remote friendly 🐶 Pet friendly 👩🏻‍⚕️ Health Insurance 🎊 Paid time off on your birthday 💻 Renew your laptop every 3 years 🙋 Training Budget 😎 Team building events 🙀 Bank holidays swap within 30 days 🔋 Fitness/ wellness stipends 🚀 Yearly company offsite 🍒 Fresh fruit every week, all-you-can-drink tea and coffee 🏝 Extra days off accrued when completing 2, 3, 4 years and beyond at Belvo 🎳 Yearly department offsite

Location: New York, NY Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are As a De-Fi/OnChain Attorney, you will provide expert legal counsel on issues related to decentralized finance and staking services, including compliance, commercial transactions, and governance matters. You should be highly motivated, prepared to work extended hours, and thrive in an entrepreneurial and demanding environment. What You’ll Do Serve as a strategic legal advisor on all OnChain and De-Fi-related legal negotiations, with a focus on staking, validation, and tokenization matters Draft, review, and negotiate agreements, including token purchase agreements, staking and validation agreements, token liquidity arrangements, token grant agreements, and similar documentation pertaining to digital assets Provide legal insights on complex regulatory landscapes affecting decentralized finance and cryptocurrency projects Identify and mitigate legal risks in a rapidly evolving De-Fi ecosystem Collaborate with product, engineering, and business teams to ensure compliance with relevant laws and regulations Coordinate resources with respect to negotiations, including management of outside counsel engagement where appropriate Draft and negotiate non-disclosure agreements Address issues related to intellectual property, data privacy, and governance within De-Fi structures Stay informed on industry trends, regulatory updates, and emerging technologies Manage workflow in a highly dynamic and demanding environment while remaining highly responsive, reliable, communicative, and accountable to team leadership and other members of Galaxy Help with other special corporate projects and such other activities as may be assigned What We’re Looking For The ideal candidate will be highly organized, have meticulous attention to detail and a demonstrable ability to produce quality work product in a fast-paced, high-volume environment A strong foundational knowledge coupled with a passion for the blockchain space 3+ years of transactional experience in top-tier law firms or crypto-focused companies Strong critical thinking and strategic problem-solving skills Comprehensive understanding of staking, validation, and De-Fi protocols Experience negotiating token purchase agreements, staking and validation agreements, token liquidity arrangements, token grant agreements, and similar documentation pertaining to digital assets Ability to thrive under pressure and in a fast-paced, high-tempo environment Highly motivated, self-starter who takes initiative Positive attitude, and willingness to roll up sleeves (no job too big, no job too small) Ability to think creatively and propose commercially pragmatic solutions Excellent written and oral communication skills Member in good standing of the New York State Bar Bonus Points Knowledge of U.S securities laws, KY/AML compliance, and the regulatory treatment of digital assets Demonstrable track record in handling Staking and De-Fi-specific legal issues Strong understanding and familiarity of vaults, vault curation, and DeFi lending markets Product knowledge and transactional or regulatory experience with trading and lending products generally Join us to shape the future of decentralized finance. Your passion for crypto and strategic legal expertise will help us pioneer new economic paradigms. What We Offer: Competitive base salary and discretionary bonus Flexible Time Off (i.e. unlimited paid vacation days) Company paid Holidays (11) Company paid sick leave Company-paid health and protective benefits for employees, partners, and other dependents 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Headspace Opportunities to learn about the Crypto industry Free daily snacks in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups Apply now and join us on our mission to engineer a new economic paradigm. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $220,000 — $250,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Brussels; Rome; Barcelona; Zug; Porto; Cape Town; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Dubai; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Abu Dhabi; Lisbon; Tallinn; London OR Brussels; Seychelles; Rotterdam; Krakow; Johannesburg; Zagreb SENIOR DATA ENGINEER ABOUT KEYROCK Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we partner with over 250 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from self-taught DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, and Singapore, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 trading venues, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. ABOUT THE TEAM AND WHY THE ROLE EXISTS The Central Data Team (CDT) is only a few months old, but data has been Keyrock's lifeblood since day one. We're now building the Keyrock Data Platform to give Keyrockers, and the AI agents working alongside them, the data and context they need to act fast and autonomously within agreed boundaries and aligned with our shared goals. Doing that means taking data from across the company and making sense of it in real time for all the functions that depend on it: trading desks, wealth and asset management, product, risk, finance, compliance, and research to name a few. You'd be one of the early hires in CDT and we expect you to contribute to most of the bigger decisions and build work. The standards we settle on and the way the team ends up working are still open. WHAT YOU’LL DO - Build streaming and batch pipelines that ingest, normalise, and distribute market, trading, and portfolio data, resilient to feed and exchange failures. - Build the self-serve tooling (SDKs, patterns, templates, AI agents) so other teams publish, consume, and build on data products without waiting on us. - Own data contracts and schema evolution. Keep schema changes from turning into multi-team coordination events. - Design the lakehouse and time-series layer around consumer query patterns. - Build and evolve the Data Governance and Data Quality Framework: stale-feed detection, schema validation, range checks, idempotent writes, lineage, ownership, self-healing. - Build the derived analytics the business runs on: cross-exchange spreads, VWAP at depth, order book microstructure for the desks; portfolio views, exposure, performance for wealth and asset management. - Make observability, cost, and performance first-class from day one. - Treat infrastructure as code (Docker, Terraform, CI/CD) alongside our Central Infrastructure Team. - Work in the open: write things down, partner closely with Architecture, Infrastructure, Platform, and the rest of the teams. WHAT WE’RE LOOKING FOR Tools matter less to us than how you think about problems. That said, here's the shape of the person we have in mind. Engineering Craft - 8+ years of building production data systems that other people rely on. - Strong proficiency in Python and SQL: not just being able to write a query, but being able to reason about what the engine is doing with it. - Code that's easy for someone else to read, test, and delete later. - Strong understanding of data modelling for both streaming and analytical workloads. - Efficiency, quality, idempotency, and observability are taken seriously by default. Systems Design - You've designed and operated streaming systems on Kafka, Redpanda, MSK, or Kinesis, and you have opinions about partitioning, consumer groups, offsets, and schema registries. - You've used a time-series store in production (ClickHouse ideally; TimescaleDB, QuestDB, or similar are fine too) and can talk about table design as a function of query patterns. - You've worked with a lakehouse architecture and reason about table layout, partitioning, and compaction as design choices that shape query performance and storage cost. - You build for self-healing and idempotency. Reprocessing is safe, retries don't double-write, and the system recovers without a human in the loop. Operational Readiness - Docker, Terraform, and CI/CD are how you work, not a separate "DevOps" thing. - You think about cost and performance early. - You instrument as you build: logs, metrics, and traces are part of the system from day one. - You design for data quality and governance up front covering contracts, validation, lineage, and ownership How You Think and Work - You reason from first principles when a problem is new, stay pragmatic when it isn't, and update your view when you learn more. - You treat the trading desks, wealth and asset management, product, risk, finance, compliance, and research as customers of what you build, and communicate with them that way. - You optimise for outcomes over output. A smaller, simpler thing that ships and works beats a bigger thing that doesn't. - You take ownership end-to-end: design, ship, operate, improve. - You say what you think including when it's an unpopular take. You change your mind when the argument is better. - You make the people around you better. Reviews are real, juniors grow from working with you, and peers want to work with you again. - You're curious about how markets work. Data engineering on its own won't keep you interested here. - You're honest about what you know and what you don't, and quick to close the gap. - You understand financial market data: order books, trades, reference data, portfolios, exposures. Crypto, TradFi, or both are a strong plus. NICE TO HAVE - Lakehouse experience with Apache Iceberg or Delta Lake. - Familiarity with DataHub or similar metadata/lineage platforms. - Rust. Some of our performance-critical services are written in it. Interest is welcome; fluency isn't required. WHAT YOU’LL GET - A from-scratch mandate. You'll be among the first hires in CDT, and the platform, the standards, and the team culture are yours to shape with us. - Strong partners. Close working relationships with Architecture, Infrastructure, Platform, and the desks themselves. You won't be building data in a vacuum. - Autonomy on how you work. Flexible hours, remote-first, business-hours on-call shared across the team. - A competitive salary package, with various benefits. - A team that likes each other. Regular online get-togethers and a yearly onsite where everyone's in the same room. OUR RECRUITMENT PROCESS We’re after those with the right skills and a conscious choice to join our field. The perfect fit? Someone who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock

Location: United States Workplace: Remote You lead rollouts, monitor health and usage, and keep stakeholders informed. You partner with Sales on expansions and renewals, and with Support and Product on issues and feedback. What you’ll do here - Own onboarding and rollout plans for new customers; coordinate with Sales for a smooth, successful implementation of Coder’s platform - Remove barriers to adoption so customers achieve their desired outcomes expediently - Engage with customers to understand goals, challenges, and use cases, and provide tailored guidance and recommendations - Identify expansion opportunities within existing accounts, and partner with Sales on upsell and cross‑sell motions - Oversee renewals and forecasting, ensuring timely, successful commitments - Serve as the primary point of contact for inquiries, issues, and escalations, and collaborate with Coder teams to resolve - Monitor and report on customer health and usage - Develop deep expertise in Coder’s products to provide global customer coverage What we’re looking for - 3+ years in software/SaaS sales and/or customer success, with enterprise experience preferred - Working knowledge of cloud infrastructure, DevOps, developer tools, coding agents, platform engineering, CI/CD, and the SDLC - Hands-on experience with Salesforce and other industry-standard CS platforms - History of building strong relationships across executive, business, and technical stakeholders - Consistent internal advocacy for customers and the ability to provide actionable feedback for Product and cross‑functional teams - Habit of staying current on industry trends, CS best practices, and the competitive landscape - Startup experience - High EQ with strong verbal communication and technical writing skills - Self‑motivated with a creative and analytical approach to problem-solving Bonus tacos if you have - Customer success or sales experience focused on developer tools - Renewal management experience - Experience with Totango or a similar Customer Success platform (e.g. Gainsight, Pylon) - Tinker with AI and the developer tools ecosystem (e.g. ChatGPT, Claude, Cursor) ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Paris Workplace: Hybrid ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM Our Corporate teams support the company’s performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organization efficiency to keep Voodoo ahead of the market. Voodoo’s Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo’s success. ROLE We're looking for a Legal Counsel, AdTech Transactions to join our Legal team. In this role, you'll own the contracts and legal questions across Voodoo's advertising activity: selling ad inventory in our apps, buying user acquisition at scale, and the ad network we are now launching to connect third-party publishers and advertisers. This position sits at the intersection of ad tech, commercial contracting, and data and privacy law, in a market where platform policies, ATT, GDPR, and consent frameworks change several times a year. Your work will directly shape how Voodoo monetizes its inventory, buys and measures user acquisition, grows its advertising network, and handles player data,while keeping us within legal and platform requirements and player expectations. Your main responsibilities : - Own ad tech transactions end-to-end for Voodoo's games and apps portfolio: draft, negotiate and close agreements with mediation platforms, ad networks, exchanges and SSPs on the sell side, and with ad networks, DSPs, direct advertisers and rewarded platforms on the buy side,including the incentive and rebate agreements (bonuses, UA credits, payment terms), that drive the commercial terms.. - Negotiate agreements with mobile measurement partners, attribution and analytics vendors, data providers and other partners - Advise on SDK integrations and data flows together with the Privacy team, so contracts match what the tech actually does - Build our advertising network's contract framework and advertising policies for third-party publishers, advertisers and programmatic partners; negotiate its infrastructure agreements and structure its commercial offers on the legal side - Manage partner disputes with networks, mediation platforms and other ad tech partners, including reporting discrepancies, invalid traffic (IVT) and compensation claims, from first analysis through negotiated resolution. - Track and apply platform policy changes and translate them into contract positions and business guidance - Collaborate cross-functionally with Monetization, UA, Ad Network, Publishing and other product teams, serving as a trusted legal partner who helps the business move with speed and confidence - Build scalable legal infrastructure-templates, playbooks, fallback positions, contract tooling - that allows the business to operate efficiently as volume grows PROFILE - 5-7 years of relevant legal experience, with meaningful time spent on ad tech and mobile/programmatic advertising, ideally in-house - Substantive familiarity with ad tech: you understand how mediation, in-app bidding, SDK-based data collection, attribution and device identifiers work at a technical level - not just a conceptual one - and you know who does what along the supply chain - Transactional experience: you've negotiated agreements with companies across the advertising ecosystem, ideally on both the publisher and advertiser side - Privacy law fluency: you handle the privacy side of a deal as comfortably as the commercial side - Industry standards: you know IAB terms and the TCF inside out - Risk tolerance and business judgment: you're comfortable making calls in the absence of perfect information, offering clear and concise risk framing that avoids unnecessary stalling of the business. You operate like a business partner, not outside counsel - Strong communication skills: you translate complex legal requirements into plain language for technical and non-technical stakeholders alike, and you're comfortable presenting your views succinctly and with confidence - Autonomy and initiative: you take ownership of your portfolio, identify problems before they escalate, and propose solutions rather than waiting to be directed - Master 2 in business law, IT/digital law or IP law from a French university or equivalent; avocat or in-house juriste profiles are equally welcome; an LL.M. or study abroad experience is a plus - Full professional English required BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The opportunity Nebius is looking for an experienced integrated campaign marketer to turn audience insight into campaigns that grow brand awareness, reach the right customers, and generate qualified demand. You will own the strategy and execution of city-specific campaigns, campaigns around our biggest events, and evergreen campaigns connecting a defined persona with a relevant solution. This is a senior, hands-on individual contributor role. You will research audiences, build campaign plans, write briefs, guide execution, and measure results. You will lead cross-functional teams and agencies without direct line authority, with the opportunity to grow into a team lead as the function evolves. About Nebius Nebius is an AI infrastructure company helping technology builders and enterprises train, deploy, and run AI at scale. This role will connect our solutions with the audiences that need them through relevant, coordinated experiences across digital and physical channels. What you will own Own local and evergreen city-specific campaigns . Research priority markets, target personas, buying behaviours, local communities, trusted influencers, and trade publications. Translate those insights into integrated plans that combine the digital and physical channels most relevant to each audience. Build campaigns around major events . Own the integrated campaign plan before, during, and after tier 1 and selected tier 2 events. Partner with Events to extend Nebius awareness and customer reach through digital media, physical activations, influencers, third-party publications, content syndication, and coordinated follow-up. Develop evergreen and solution campaigns . Build sustained programs around a specific persona, business need, and Nebius solution. Create launch activations and ongoing campaigns for priorities such as new hardware, industry use cases, inference, and agentic AI, tailoring messages, offers, and channels to the intended outcome. Turn strategy into execution . Define campaign objectives, customer journeys, channel roles, asset requirements, budgets, timelines, and responsibilities. Write clear briefs, manage dependencies, and work directly with channel owners and agencies to launch coherent campaigns and resolve execution gaps. Lead across teams . Align Product Marketing, Brand / Creative, Content, Digital, Events, Partner Marketing, Sales, and Marketing Operations around one campaign plan. Secure commitments, clarify decisions, and connect campaign engagement to relevant sales or nurture follow-up. Activate partners . Identify where partners add audience access, credibility, or distribution. Develop co-branded content and joint activations with clear shared objectives, responsibilities, follow-up plans, and measures of success. Own agency and vendor performance . Select and brief partners, define scope, deliverables, budgets, and quality standards, and hold them accountable for execution and results. Provide actionable feedback and manage spend and trade-offs throughout the campaign. Define measurement and attribution . Agree baselines, KPIs, tracking, and reporting with Marketing Operations and analytics before launch. Assess awareness, target-audience engagement, qualified demand, pipeline contribution, and efficiency against campaign goals. Use controlled tests or geographic comparisons where feasible and distinguish attributed results from incremental impact. Build repeatable, AI-powered campaign systems. Turn persona research, channel selection, briefs, journey maps, and measurement plans into reusable frameworks that use AI to generate a first version of the customer journey, creative, and cross-channel activations within days, then refine with feedback to launch within weeks. Build in feedback loops that use campaign signals and results to automate improvements to audience targeting, creative, channel mix, and budget allocation—enabling one person to scale across different campaign types. Use AI to accelerate the work . Apply AI to persona and market research, campaign planning, and rapid prototyping of assets and customer journeys. Validate findings and creative quality, document effective workflows, and use the time saved to test and improve campaigns. What success looks like Within 90 days, establish a prioritized campaign roadmap, an agreed measurement framework, and initial audience and market insights, with the first priority campaign launched. Deliver coordinated local, event, and evergreen campaigns with clear audience choices, channel rationale, ownership, and follow-up. Demonstrate improvements in awareness, relevant customer reach, qualified engagement, and pipeline contribution against agreed campaign baselines and goals. Keep teams, agencies, and partners aligned on commitments, delivering campaigns on time and within agreed budgets. Build a repeatable campaign framework that reduces planning and launch time and turns measured results into better campaign decisions. What you bring 8+ years of experience in integrated campaigns, demand generation, or Account-based marketing, including significant hands-on ownership of multi-channel programs at scale. Minimum of 4-5 years leading integrated campaigns for 1 or 2 companies. A proven record of delivering integrated campaigns with measurable business outcomes. You can explain your personal contribution, what worked, what did not, and how those lessons changed your approach. Strong audience and market research skills. You can identify decision-makers, understand their needs and trusted sources, and explain why particular messages, channels, and offers will reach them. Experience combining digital and physical channels into a connected customer journey, with sound judgment about local relevance, event amplification, and sustained demand creation. Creative thinking about media and activation. You see opportunities beyond traditional formats, turning local partnerships, street marketing, and unexpected touchpoints into relevant ways to reach your audience. You challenge agencies and partners to think beyond standard media plans and uncover distinctive opportunities that others overlook. A clear point of view on measurement and attribution. You can define success for different campaign types, interpret incomplete data, and distinguish engagement metrics, pipeline influence, and evidence of incremental impact. Proven agency and vendor management skills, including selection, briefing, scope and budget management, creative feedback, and performance accountability. Strong systems thinking and practical use of AI. You turn campaign experience into reusable research methods, planning templates, workflows, and learning loops. The ability to lead through influence. You bring cross-functional teams along, resolve competing priorities, communicate decisions clearly, and remain accountable for outcomes without managing every contributor. Comfort operating as a senior individual contributor: you can set strategy and do the work yourself, manage multiple campaigns, and make thoughtful trade-offs with limited resources. Experience that would be especially valuable Experience in B2B technology, cloud infrastructure, AI, developer platforms, or enterprise software, reaching technical and business audiences. Experience building city-specific or regional campaigns informed by local audience research and media habits. Experience extending the impact of major industry events through coordinated campaigns before, during, and after the event. A track record of co-marketing with technology or ecosystem partners, including joint content, distribution, and activation. Experience using CRM, marketing automation, account-based marketing, and campaign analytics tools to connect activity with account engagement and commercial outcomes. The profile we are looking for You think like a strategist and work like a builder. You start with the audience and the business outcome, choose channels with purpose, and bring people together around a clear plan. You are comfortable moving from research to a creative brief, from an agency review to a campaign dashboard, and from results to the next experiment. You are ready to own the work as a senior individual contributor and help build a scalable integrated campaign capability at Nebius. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $150,000 — $187,500 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Minsk Workplace: hybrid About NRS National Retail Solutions (NRS) is a leading provider of point-of-sale, payment, and digital solutions to tens of thousands of independent retailers across the United States and Canada. As a major player in the retail technology industry, NRS is expanding into next-generation cloud platforms, high-throughput retail ecosystems, and advanced analytics solutions. We are building modern, highly scalable systems designed specifically for high-volume retail operations and real-time reporting. This project represents one of the most significant technical initiatives in NRS’s history and offers a rare opportunity to join at the ground floor of a major strategic expansion. Role Overview: We are seeking a Senior Full Stack Engineer based in Minsk, Belarus to join our distributed engineering team. In this role, you will help architect and build core components of NRS’s next-generation retail platform. You will focus heavily on robust backend services written in Golang, high-throughput query performance, and leveraging ClickHouse for real-time reporting and large-scale data modeling, alongside modern front-end architectures using Vue.js and micro-frontends Experience with columnar/OLAP databases like ClickHouse is highly desired to support our analytical engine, but deep, hands-on mastery of SQL, data indexing, and database performance profiling is the primary requirement. You will work closely with engineering leadership, product managers, and architects across Israel, Belarus, and the U.S., contributing meaningfully to the technical direction, data architecture, and scalability of our products. This position requires 3 days a week in-office work at our office in Minsk to collaborate in person with local engineering peers, along with regular remote collaboration across our global teams Responsibilities: Technical Leadership & Architecture Architect, build, and maintain high-performance full-stack applications—ranging from real-time analytics dashboards to reporting pipelines—with a strong focus on Golang for backend microservices and Vue.js on the front end. Design, model, and optimize high-speed relational and analytical data stores—writing advanced SQL queries, materialized views, aggregation logic, and indexing strategies to power real-time reporting dashboards. Leverage analytical data stores (ideally ClickHouse ) to build ultra-efficient reporting engines and handle high-throughput data ingestion. Design and implement modular micro-frontend architectures to support scalable, independently deployable UI components across team boundaries. Take end-to-end ownership of core system components, high-throughput backend APIs, and event-driven microservices. Drive architectural design, technical planning, query optimization, and engineering best practices across the team. Ensure platform scalability, low latency, fault tolerance, and secure service design. Execution & Delivery Write clean, maintainable, highly efficient, and well-tested Go and JavaScript/TypeScript code. Collaborate with product and engineering teams in the U.S. and locally to translate complex requirements into robust, scalable technical solutions. Uphold code quality through thorough code reviews; we use AI-assisted tooling (Cursor, Copilot, Claude Code) as part of our workflow. Debug, profile, and optimize complex SQL queries, execution plans, database locks, and distributed backend microservices. Collaboration & Culture Participate in daily standups, sprint planning, and retrospectives to support continuous delivery. Communicate effectively across time zones and collaborate seamlessly with global engineering leadership. Required Qualifications: 6+ years of full-stack development experience , with at least 2 years in a senior or lead capacity . Solid Backend Expertise in Go: Proven track record of designing, building, and scaling Go-based microservices, concurrent applications, and REST/gRPC APIs. Deep SQL Mastery & Data Modeling: Expert-level knowledge of SQL, including writing complex joins, subqueries, query execution plan analysis (EXPLAIN), indexing strategies, schema normalization/denormalization, and performance profiling for large-scale reporting datasets. Modern Frontend & Micro-Frontend Mastery: Strong hands-on experience with modern JavaScript/TypeScript frameworks—specifically Vue.js (Vue 3 / Composition API). Demonstrated experience designing or working within micro-frontend architectures (e.g., Module Federation, single-spa, component isolation). Experience building end-to-end SaaS products, microservices, or complex distributed web platforms. Proficiency with Linux/Unix environments, Git, and CI/CD automation workflows. Strong problem-solving mindset with the ability to lead technical initiatives independently. Excellent English communication skills with experience collaborating with remote/U.S.-based stakeholders. Nice to Have: ClickHouse / OLAP Experience: Direct hands-on experience with ClickHouse or other columnar/analytical databases (Snowflake, BigQuery, Redshift) is a strong plus . Working knowledge of PHP (legacy service integration/migration). Familiarity with containerization and orchestration ( Docker, Kubernetes ). Hands-on experience with cloud platforms (ideally AWS ). Knowledge of real-time communication technologies ( WebSockets, gRPC, Kafka, or NATS ). We are pleased to offer: Hybrid work opportunity (3 days in the office)! Modern office with free parking in the very center of Minsk. An exciting and challenging job with talented people around. Competitive salary and growth opportunities. Really good hardware. 26 vacation days & 5 fully covered sick days without sick leave required per year. Compensation for professional training, seminars, and conferences. Sports activities reimbursement and loyalty program. Medical insurance. Referral program - get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and  have over $1.5 billion in revenues.     We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.   Our National Retail Solutions brand provides a sales management system and POS equipment to small and medium-sized businesses. With the help of NRS, business owners can solve a management problem: the product includes integrated advertising, data analysis, and payment processing.

Location: United States Workplace: Remote You lead rollouts, monitor health and usage, and keep stakeholders informed. You bring the technical fluency to guide deployment and adoption decisions, connect technical priorities to business outcomes, and engage specialists when deeper expertise is needed. You partner with Sales on expansions and renewals, and with Solutions, Support, Product, and Engineering on implementation, issues, and feedback. What you’ll do here - Own onboarding and rollout plans for new customers; coordinate with Sales and Solutions for a smooth, successful implementation of Coder’s platform. - Remove barriers to adoption so customers achieve their desired outcomes expediently. - Engage with customers to understand goals, challenges, and use cases, and provide tailored guidance and recommendations. - Own the account’s technical success plan: translate customer goals and deployment context into adoption milestones, technical priorities, and a roadmap for broader use of Coder. Align owners and timelines, and track progress against agreed outcomes. - Guide customer admins and platform teams on deployment readiness, configuration best practices, and ongoing adoption. Lead technical discovery, facilitate admin enablement, and troubleshoot common adoption blockers; coordinate Solutions, Support, or Engineering for architecture design, complex implementations, and deeper troubleshooting. - Identify expansion opportunities within existing accounts, and partner with Sales on upsell and cross-sell motions. - Oversee renewals and forecasting, ensuring timely, successful commitments. - Serve as the primary point of contact for inquiries, issues, and escalations, and collaborate with Coder teams to resolve them. - Monitor and report on customer health and usage, including technical risks and progress toward adoption milestones. - Develop deep expertise in Coder’s products to provide global customer coverage. What we’re looking for - 5+ years in customer success or a technical customer-facing role, with experience independently managing enterprise accounts and driving adoption, retention, and expansion. - Practical knowledge of cloud infrastructure, DevOps, developer tools, coding agents, platform engineering, CI/CD, and the SDLC; ability to discuss how these fit into a customer’s environment and inform their adoption strategy. - Experience guiding customer onboarding and deployments in SaaS or self-hosted environments. Able to understand a deployment architecture, ask informed questions about infrastructure and security, investigate common issues using logs and documentation, and turn findings into clear next steps. - Hands-on experience with Salesforce and other industry-standard CS platforms. - History of building strong relationships across executive, business, and technical stakeholders. - Consistent internal advocacy for customers and ability to provide actionable feedback for Product and cross-functional teams. - Habit of staying current on industry trends, CS best practices, and the competitive landscape. - Startup experience. - High EQ with strong verbal communication and technical writing skills. - Self-motivated with a creative and analytical approach to problem-solving. Bonus tacos if you have - Customer success or sales experience focused on developer tools. - Renewal management experience. - Experience with Totango or a similar Customer Success platform (e.g. Gainsight, Pylon). - Tinker with AI and the developer tools ecosystem (e.g. ChatGPT, Claude, Cursor). - Hands-on familiarity with Kubernetes, cloud environments (AWS, GCP, Azure), or infrastructure as code tools such as Terraform. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Threat Research Engineer at GitLab, you'll research emerging security threats and turn your findings into protection for GitLab customers. You'll investigate new attack surfaces, including AI coding agents, agent plugins, and package ecosystems, and build systems that help detect threats and improve vulnerability advisories. This is a full-stack role: you'll take an idea from the first research question to a working proof of concept, deploy it, and analyze the results yourself. Artificial intelligence (AI) is central to how we work. You'll use AI tools daily and build agentic workflows for research, analysis, and detection. What you'll do Research new attack surfaces and threat vectors, including AI coding agents, agent plugins, and package ecosystems. Find and responsibly disclose vulnerabilities in open source projects and developer tools. Analyze software supply chain incidents and events. Build AI-powered workflows and agents that automate research, analysis, and detection. Build and maintain the cloud-based systems behind our detection and advisory work. Improve the quality and coverage of our vulnerability and malware advisories. Write up your findings as blog posts and present them at conferences. What you'll bring Hands-on security experience in research, malware analysis, penetration testing, or security tooling, with an understanding of package ecosystems and software supply chain attacks. Both a developer mindset and an adversarial mindset: you can build systems and think about how to break them. Demonstrated experience using AI in real work, such as building with large language model (LLM) application programming interfaces (APIs) or agent frameworks like LangChain, LangGraph, or agent software development kits (SDKs). Strong programming skills in Go or Python, with good software engineering practices, including testing, code review, continuous integration and continuous delivery (CI/CD), and writing maintainable code. Experience deploying and running production services on a public cloud. The ability to map attack vectors, explain trade-offs, and use data to move experiments forward, balancing quality, speed, and customer outcomes. Clear writing for engineers and a general audience, and keeping up with security and AI industry trends. Helpful, but not required: Google Cloud Platform (GCP); Common Vulnerabilities and Exposures (CVE) entries or published findings; research on AI agents, LLM applications, or Model Context Protocol (MCP) servers; blogs, talks, or open source security tools; Terraform or OpenTofu; databases or data pipelines at scale; reverse engineering. You don't need deep knowledge of compilers or static application security testing (SAST) engines. A high-level understanding is enough. About the team We're the Threat Research group. We maintain the GitLab Advisory Database, which powers GitLab's dependency scanning, and publish our findings on the Security Labs blog. Our work includes research on the Shai-Hulud npm worm and a critical remote code execution (RCE) vulnerability in Serena, a popular MCP coding agent. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Athens, Greece About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At Wolt, we’re building one of the most exciting media ecosystems in Europe - helping partners grow through Wolt Ads and Wolt Promos. By joining the team, you’ll be at the forefront of digital advertising, working on campaigns that drive visibility, engagement, and real results. Our mission is to help partners grow their business by getting closer to the customers who matter most. Through high-impact placements across our app (and beyond), we help them boost brand visibility, reach new audiences, and increase sales. We are seeking a motivated and detail-oriented Merchant Promotions Manager to join our Wolt Ads team in Athens on a 12-month maternity cover contract. In this role, you will support the Ad Operations team in managing ad and promo campaigns, ensuring they are executed efficiently and delivering actionable performance insights. This is an excellent opportunity to join a fast-growing organization within Wolt and develop further skills in ad operations, data analysis, and campaign management within a dynamic and fast-growing advertising business. What you’ll be doing This role will be responsible for managing campaigns end-to-end for brands and merchants who advertise on the Wolt platform. In this role, you’ll take ownership of the campaign from the moment it’s submitted by the sales/account team, all the way through campaign launch, monitoring and optimization, and ultimately invoicing the campaign. You will become a subject matter expert in our platforms and products and support the sales/account team to drive campaign volume and advertiser retention. Day-to-day in this role you’ll: Set up and manage advertising campaigns on the Wolt platform Support the team in making sure campaigns run smoothly and on time Monitor and optimize campaign performance Work with data to produce and interpret insights Collaborate with Sales and Account Management teams to support our partners Help improve how we work by spotting inefficiencies and suggesting better ways of doing things Prioritize urgent enterprise campaigns by impact when facing competing requests from several account managers Keep quality rate, on-time launch rate and speed to launch high Our humble expectations 1+ years of experience executing ad operations campaigns or other merchandising/platform operations -  background as a Campaign Manager, Campaign Operations Manager, Ads Specialist, Merchandising Specialist, or Campaign Specialist, would be a good fit for the role Experience leveraging data to make discoveries about performance and/or to troubleshoot bugs with engineering Strong attention-to-detail Can handle a high volume of complex and high-priority tasks, making trade-off decisions constantly with a high degree of autonomy Operations experience in platform tools, with the ability to drive the quality of your own operations Advertising knowledge and experience managing top-tier accounts A sales or account management background is a plus Fluent English and Greek Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! Wolt Ads is constantly expanding and evolving—check out how we help businesses grow and what opportunities lie ahead! https://explore.wolt.com/en/fin/wolt-ads The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This position is not eligible for consideration for an equity/RSU grant. Pay Range: €1.730 — €2.163 EUR Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Montréal ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary As an Enterprise AE in our Canadian market, you will play a crucial role in driving Mistral’s adoption among large enterprise customers, with a particular focus on financial institutions and large enterprises across various industries. Based in Montreal, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral as a leading AI solutions provider in Canada. As this role covers Quebec, fluency in French is required to engage effectively with customers, partners, and stakeholders in the Quebec market.   What You Will Do   Lead Development (Strategic Outbound and Qualified Inbound): • Conduct strategic outreach and manage warm introductions to potential enterprise customers. • Convert inbound leads where there are opportunities for upselling or more bespoke agreements.   Value Proposition Validation for Customers: • Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process. • Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts.   Deal Management & Closing: • Develop and execute strategic sales plans to convert leads into valued customers. • Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams. • Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams.   Executive Engagement: • Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations. • Understand their specific challenges and position Mistral's solutions as integral to their strategic initiatives.   Technical Aptitude: • Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients. • Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases. • Collaborate with our technical team to address any customer inquiries or concerns.   Training and Enablement: • Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities.   What We're Looking For   - 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product. - Deep understanding of the Canadian market dynamics and enterprise landscape, including the Quebec business environment, with strong knowledge of the financial services sector. - Experience selling into financial institutions and other large regulated enterprises. - Experience of consultative selling of highly complex, technical products. - Bachelor's and/or Master's degree in Business, Computer Science, or a related field. - Significant work experience within the AI ecosystem or related data/infrastructure field. - Experience working at a successful, fast-growing startup, ideally in deep-tech. - Strong technical skills to navigate quickly evolving products and steer technical discussions. - Fluency in both French and English (written and verbal) is required for this role. - Outstanding negotiation and communication skills to build relationships and close deals effectively. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Toronto ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary As an Enterprise AE in our Canadian market, you will play a crucial role in driving Mistral’s adoption among large enterprise customers, with a particular focus on financial institutions and large enterprises across various industries. Based in Toronto, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral as a leading AI solutions provider in Canada.   What You Will Do   Lead Development (Strategic Outbound and Qualified Inbound): • Conduct strategic outreach and manage warm introductions to potential enterprise customers. • Convert inbound leads where there are opportunities for upselling or more bespoke agreements.   Value Proposition Validation for Customers: • Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process. • Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts.   Deal Management & Closing: • Develop and execute strategic sales plans to convert leads into valued customers. • Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams. • Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams.   Executive Engagement: • Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations. • Understand their specific challenges and position Mistral's solutions as integral to their strategic initiatives.   Technical Aptitude: • Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients. • Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases. • Collaborate with our technical team to address any customer inquiries or concerns.   Training and Enablement: • Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities.   What We're Looking For   - 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product. - Deep understanding of the Canadian market dynamics and enterprise landscape, with strong knowledge of the financial services sector (banking, insurance, asset management). - Experience selling into financial institutions and other large regulated enterprises. - Experience of consultative selling of highly complex, technical products. - Bachelor's and/or Master's degree in Business, Computer Science, or a related field. - Significant work experience within the AI ecosystem or related data/infrastructure field. - Experience working at a successful, fast-growing startup, ideally in deep-tech. - Strong technical skills to navigate quickly evolving products and steer technical discussions. - Outstanding negotiation and communication skills to build relationships and close deals effectively. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.