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Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: The team builds observability for AI in Honeycomb. We help customers see what their agents are doing, what those agents cost, and where errors happen. We also give them insight into individual conversations so they can debug them. We're bringing LLM and agent observability together, and we own both the data foundation and the product experiences built on top of it. You'll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features customers use in production. If you want to define how people understand and debug AI systems, this is the team for you. What you’ll do in the role: Own end-to-end development of AI observability capabilities, from ingestion to in-product visualizations. Architect and evolve the data model and infrastructure that let us observe agents and their ecosystems across the Honeycomb product. Build systems that analyze and surface AI-specific signals, such as cost, token usage, errors, and anomalies. Collaborate with product and design partners to make sure what we build is usable, intuitive, and unlocks meaningful user workflows. Teach best practices for exploring and understanding AI system behavior across conversations and workloads. Iterate through fast feedback loops and experimentation, and share both wins and failures. What you’ll bring to the role: Significant software engineering experience, with a record of shipping and owning features end to end. Experience shipping customer-facing features at a SaaS company, beyond internal tooling. Full-stack range, with proficiency in backend development (Go and/or Python) and frontend development (TypeScript and React). A track record of working closely with product managers and designers. Regular, hands-on use of AI tools in your day-to-day engineering work. Experience being on call. You'd join our rotation after about 90 days. A track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is a core part of the job. Bonus: Experience building LLM or agent-powered features in production. Bonus: Hands-on experience with observability tooling, such as OpenTelemetry. Base Salary based on level of experience $183,340 — $206,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

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 As a GTM Engineer, you'll build the AI apps and workflows that Vercel's Sales, Marketing, Customer Success, and Data teams use to drive revenue. You'll work directly with those teams to find where go-to-market work is slow or manual, then ship production software on Vercel's AI Cloud that fixes it. You'll ship code daily and turn what top performers do into systems the whole org runs on. In your first 6 to 12 months, success means GTM teams rely on the tools you've built every day, and the guides you've published help other teams build their own. This is a hybrid role with 3 in-office days per week in San Francisco, New York City, or Austin. What you'll do Build and ship AI apps and workflows on Vercel's AI Cloud for Sales, Marketing, Customer Success, and Data teams Find the highest-cost pain points across GTM teams and ship solutions that remove them Turn the workflows of top-performing GTM teammates into systems the whole org uses Test new Vercel features as an internal customer and give product feedback to engineering Publish best practices, guides, and examples for building GTM tools on Vercel's AI Cloud What you need 4+ years of full-stack development experience Shipped a Next.js app to production that real users depend on Built and shipped features on AI model APIs such as OpenAI, Anthropic, or the v0 API Hands-on experience deploying and running projects on Vercel Worked directly with non-technical business teams to scope and ship internal tools Bonus if you Have built an AI agent Have built features with the AI SDK Have published blog posts or 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: Hybrid - Boston About the Job: LaunchDarkly is looking for an experienced, self-directed Sales Development Representative to own the first stage of engagement across North America. You will manage and qualify inbound leads, event MQLs, and accounts showing meaningful engagement through our account-based programs. This is not a purely reactive lead-response role. You will combine fast, consultative follow-up with thoughtful, proactive outreach to turn customer interest and buying signals into qualified meetings and pipeline. Responsibilities: Act as the first point of contact for prospective customers across North America, creating a fast, thoughtful, and credible first impression. Respond rapidly to high-intent inbound inquiries, including demo requests, pricing requests, trials, contact forms, and other hand-raisers. Own follow-up for event leads, adapting outreach based on the person, account, and engagement history. Research and proactively engage targeted accounts that show meaningful engagement and buying intent. Convert qualified interest into sales-ready meetings and opportunities for Account Executives. Execute coordinated outreach across phone, email, LinkedIn, and other approved channels. Maintain complete, accurate, and timely activity, qualification notes, and account context in Salesforce. Partner closely with North American Account Executives, Marketing, Revenue Operations, and the global SDR organization to improve lead quality, routing, messaging, and conversion. Share patterns and feedback from prospects so the broader team can improve campaigns, events, content, and the customer journey. Qualifications: At least 1 year of successful SDR or BDR experience in B2B SaaS or a similar environment. A demonstrated record of setting goals, taking ownership, and delivering measurable results. Experience communicating with customers, prospects, or other external audiences. Strong judgment and the ability to operate independently. Excellent written and verbal communication skills in English, with the confidence to engage senior and technical stakeholders. Pay: Target pay ranges based on Geographic Zones* for Level 3: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $86,700 - $119,240 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $78,100 - $107,360 ** Zone 3: All other US locations - $73,700 - $101,310* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Strava SF Workplace: Hybrid ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. ABOUT THIS ROLE The Privacy and Identity team owns how every athlete securely accesses their Strava experience and builds the tools that help them understand and manage their privacy on Strava, from account security to giving people clear visibility into and control over their data across iOS, Android, and web. We're looking for a fullstack engineer to help build and improve the systems that keep athlete accounts secure and easy to access. You'll work across mobile, web, and server, contributing to sign-up, login, password management, account recovery, and privacy controls. This role will span work across platforms and key product surfaces. No prior identity or authentication experience is required, just strong product engineering fundamentals and a willingness to learn quickly in a high-trust domain.. We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office, three days per week. WHAT YOU'LL DO - Build and ship features across account sign-up, login, password management, and account recovery, working across both mobile (iOS/Android) and backend services - Design and implement clear, intuitive privacy controls that make it easy for athletes to understand and manage their experience and data on Strava - Partner with Product, Security, Trust & Safety, and Legal to build features that meet compliance and platform integrity needs - Help drive consistency in login, privacy, and account experiences across iOS, Android, and web - Use data to monitor and improve login success rates, recovery flows, and engagement with privacy controls - Participate in code reviews, design discussions, and on-call rotations - Break down ambiguous problems into well-scoped, multi-component solutions and weigh technical trade-offs WHAT YOU'LL BRING TO THE TEAM - 5+ years of software engineering experience, with fullstack range spanning mobile (iOS or Android) and backend/server systems - Comfort ramping up on systems that keep user accounts secure and easy to access; no prior identity-specific experience required - Experience breaking down complex, ambiguous problems into multi-component solutions - A product mindset: the ability to balance user experience with data protection and abuse prevention - Strong collaboration skills, with comfort partnering across product, security, and legal stakeholders - Experience with authentication protocols (OAuth, SSO) or in privacy- or compliance-sensitive domains is a plus For information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub. WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

Location: Singapore Workplace: hybrid The Role We are looking for an ambitious, driven Product Manager to join our team. At Sokin, we are building a world-class product team that can help us remove the borders, barriers and burdens from global business. Product Management at Sokin is all about creating and delivering an ambitious roadmap with your team and working continuously with clients and stakeholders to ensure your product is driving real value for our customers and the business. This is an opportunity for someone who wants to be part of something challenging and transformative, someone who wants to play a critical role in driving our success. About Us Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business - so businesses thrive wherever they choose to grow. We deliver services across: • Global payments and receivables • Foreign Exchange (FX) • Treasury management • Finance reconciliations We are rapidly expanding, with established presence in EMEA, APAC, and North America, backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide. Our clients span industries from sports and entertainment to logistics and travel, and our community is growing rapidly. As we continue to expand, we’re building a team of exceptional people who share our ambition to transform the future of global payments. As our APAC' Expansion Product Manager You’ll define the strategic roadmap for Sokin's banking connectivity across APAC, determining which markets we expand into, what capabilities we need, and how our infrastructure evolves to serve our clients' needs. You'll be responsible for building the business case for market expansion, analyzing client demand, payment volumes, competitive positioning, and regulatory requirements to prioritize where Sokin should establish presence next. This means understanding the specific payment needs of different APAC markets, from ACH requirements to local clearing preferences, and translating those into clear technical and commercial requirements. Working closely with our Banking Partnerships team, you'll define what we need from banking relationships in each market, then collaborate on sourcing and evaluating potential partners. Once partnerships are established, you'll work with engineering to scope and prioritize integration work, ensuring our technical implementation delivers the speed, reliability, and functionality our product roadmap requires. You'll own the ongoing performance and optimization of our APAC' banking infrastructure, monitoring transaction success rates, settlement times, and costs across different corridors, then identifying opportunities for improvement. This includes working with operations and engineering to resolve technical issues, evaluating when to add redundancy or alternative routes, and making data-driven decisions about infrastructure investments. A critical part of this role involves staying ahead of the APACs' payments landscape, tracking developments in instant payment schemes, open banking regulations, and emerging settlement mechanisms, then determining how these trends should influence our strategy. You'll also gather feedback from clients and sales teams to understand where our current infrastructure is limiting growth or creating friction. Your role as a PM at Sokin: Define and communicate the product strategy and roadmap aligned to the companies vision and strategy. Conduct market research to identify customer needs and market trends. Work directly with a cross-functional team of engineers to deliver value often. Spent time with customers to discover new product ideas, identify product improvements and validate product solutions. Collaborate with cross-functional teams including engineering, design, marketing, and sales to understand the value, feasibility, viability and usability of solutions. Create and manage product roadmaps, ensuring alignment with business goals. Prioritize product features and requirements based on customer value and business impact. Work closely with product marketing and sales to launch new products to customers. Monitor product performance and use quantitative and qualitative insight to drive continuous improvement. Act as the primary point of contact for all product-related inquiries. We’d love to hear from you if: You're excited by building B2B fintech products and have hands-on experience with banks, PSPs, and local payment rails across APAC. You own your roadmap and can identify problems, make decisions, and drive things forward without waiting to be managed. You're someone that enjoys getting into the details and understanding the mechanics of your product and the data behind it. You're a strong communicator and enjoy working in cross-functional teams alongside engineers, designers, and other functions to deliver value to users. You're comfortable working with financial, risk, and legal stakeholders to design solutions that are user-centric yet compliant. You have enough technical depth to work closely with engineers and find the best solution to a problem. You thrive in ambiguous environments and bring structure to them rather than waiting for it. Sokin is an equal opportunities employer and committed to maintaining an inclusive work environment. As a growing global startup with bases across multiple countries, we were established on and continue to promote an agile, flexible working culture. Please reach out to discuss any accommodations you may require during the recruitment process.

• Design and develop product features for our live-streaming platform.

Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role You will... Derive insights from data to influence product roadmaps and drive business results Apply advanced analytical methods, structural approaches, causal inference, and/or machine learning and AI to model user behavior and estimate the impact of potential new feature implementations, and collaborate with product and engineering teams to develop solutions Evaluate product experiments to create and improve user experiences Communicate and present findings and recommendations to senior management Help preserve our culture of fact-based decision making as we scale You have... Pursuing a PhD degree (in at least the third year of PhD program) in a quantitative field (e.g. Economics, Finance, Statistics, Math, Linguistics, Computer Science, Computational Social Science, ML/AI), ideally planning to graduate in Fall 2027 or Spring/Summer 2028 Strong understanding of consumer digital products and an interest in applying advanced analytics and economics to business outcomes Previous experience analyzing large datasets, communicating results to technical and non-technical senior-level audiences, and making actionable recommendations that improve the product or business Skilled in SQL, R or Python, and/or statistical methods to analyze behavioral data Enthusiasm for learning and sharing analytical methods to help grow a collaborative Data Science team and data-forward company culture Able to relocate to Pittsburgh or NYC for the internship Exceptional candidates will have... Experience with "big data" and cloud computing technologies like BigQuery, Snowflake, and/or dbt Experience articulating business questions and using available data to find answers that translate into product recommendations Self-starter, with a desire to both learn new techniques and guide others Previous experience/internships in applied business settings Familiarity with AI tools such as Cursor, a knack for prompt engineering, and a desire to continue to innovate and learn in AI A GPA of 3.5+ A Duolingo streak Why you’ll love working here… Language learning opportunities Catered in-house lunches and breakfast Company-wide Hackathon PTO and company holidays Frequent company-wide dinners, monthly celebrations, social clubs, and so much more! Connect with your recruiter on the benefits for interns at Duolingo! Hourly Range for this internship is: $63 — $65 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: San Francisco Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. About this role: Remix is Via's premier transit planning and scheduling platform, trusted by agencies worldwide to design networks, model scenarios, and optimize service. We're looking for a Senior Product Manager to own the Remix platform itself — its usability, scalability, and flexibility — ensuring Remix remains the most powerful and intuitive tool available to transit professionals globally. This role sits at the center of everything Remix does. You will own the platform foundation that every module is built on, champion AI-led insights that help agencies design better service and measure real performance, and maintain the end-to-end view from planning through operations and back — ensuring data flows in ways that make each step smarter than the last. You are equally comfortable setting long-term platform direction and rolling up your sleeves to sharpen individual features and make each module best in class. What you'll do: Own the Remix platform roadmap — usability, scalability, flexibility, and the cross-cutting capabilities that every module depends on Define and drive the vision for AI-led insights within Remix, enabling transit agencies to make data-informed decisions about service design, network performance, and operational efficiency Hold the end-to-end product view: from network planning through scheduling and live operations, and back into planning via performance data — ensuring the platform is a continuous feedback loop, not a collection of disconnected tools Identify and prioritize vertical feature investments across Remix modules, with the rigor to make each one best in class rather than broadly adequate Partner with engineering and design to raise the bar on platform usability — reducing friction for planners, schedulers, and analysts without sacrificing the depth power users depend on Work closely with data science and engineering to define how AI and analytics capabilities are surfaced in the product — what insights matter, when they appear, and how they drive action Engage directly with customers to understand workflow pain points, validate priorities, and pressure-test the roadmap against real operational needs Stay current on industry trends, competitive products, and emerging technology to ensure Remix leads rather than follows Who you are: You have 5+ years of product management experience, including ownership of platform or infrastructure-layer products used in complex enterprise workflows You are a big-picture thinker who can articulate a multi-year platform vision while also making sharp, well-reasoned prioritization calls at the feature level You have strong instincts for usability and product quality — you notice when something is harder than it needs to be, and you know how to fix it without breaking what works You understand how AI and data products actually work in practice, and you have experience defining how analytical insights should be integrated into operational workflows in ways users trust and act on You can quickly become technically fluent in the underlying data models and entities that power planning and scheduling systems, and you are a credible voice in technical architecture decisions alongside your engineering partners — capable of evaluating tradeoffs and advocating for platform choices that serve both current needs and long-term scalability You have a track record of shipping high-quality features in complex, workflow-heavy enterprise environments where precision and reliability matter You are collaborative, direct, and effective at building alignment across engineering, design, data science, and go-to-market partners Experience in transportation, transit, logistics, or resource-intensive industries is a plus; the ability to learn a technical domain quickly is essential Compensation and Benefits: Base salary range: $150,000-$220,000, determined by experience and skills. Total compensation also includes variable pay and equity. Comprehensive health coverage, with low-cost dental and vision plans. A 401(k) with a generous company match and vesting. Fully paid parental leave for new parents, with extended leave options. Additional benefits (mental health, pet insurance, and other wellness perks). 20 days of paid time off (PTO) annually. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: New York City Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. About this role: Remix is Via's premier transit planning and scheduling platform, trusted by agencies worldwide to design networks, model scenarios, and optimize service. We're looking for a Senior Product Manager to own the Remix platform itself — its usability, scalability, and flexibility — ensuring Remix remains the most powerful and intuitive tool available to transit professionals globally. This role sits at the center of everything Remix does. You will own the platform foundation that every module is built on, champion AI-led insights that help agencies design better service and measure real performance, and maintain the end-to-end view from planning through operations and back — ensuring data flows in ways that make each step smarter than the last. You are equally comfortable setting long-term platform direction and rolling up your sleeves to sharpen individual features and make each module best in class. What you'll do: Own the Remix platform roadmap — usability, scalability, flexibility, and the cross-cutting capabilities that every module depends on Define and drive the vision for AI-led insights within Remix, enabling transit agencies to make data-informed decisions about service design, network performance, and operational efficiency Hold the end-to-end product view: from network planning through scheduling and live operations, and back into planning via performance data — ensuring the platform is a continuous feedback loop, not a collection of disconnected tools Identify and prioritize vertical feature investments across Remix modules, with the rigor to make each one best in class rather than broadly adequate Partner with engineering and design to raise the bar on platform usability — reducing friction for planners, schedulers, and analysts without sacrificing the depth power users depend on Work closely with data science and engineering to define how AI and analytics capabilities are surfaced in the product — what insights matter, when they appear, and how they drive action Engage directly with customers to understand workflow pain points, validate priorities, and pressure-test the roadmap against real operational needs Stay current on industry trends, competitive products, and emerging technology to ensure Remix leads rather than follows Who you are: You have 5+ years of product management experience, including ownership of platform or infrastructure-layer products used in complex enterprise workflows You are a big-picture thinker who can articulate a multi-year platform vision while also making sharp, well-reasoned prioritization calls at the feature level You have strong instincts for usability and product quality — you notice when something is harder than it needs to be, and you know how to fix it without breaking what works You understand how AI and data products actually work in practice, and you have experience defining how analytical insights should be integrated into operational workflows in ways users trust and act on You can quickly become technically fluent in the underlying data models and entities that power planning and scheduling systems, and you are a credible voice in technical architecture decisions alongside your engineering partners — capable of evaluating tradeoffs and advocating for platform choices that serve both current needs and long-term scalability You have a track record of shipping high-quality features in complex, workflow-heavy enterprise environments where precision and reliability matter You are collaborative, direct, and effective at building alignment across engineering, design, data science, and go-to-market partners Experience in transportation, transit, logistics, or resource-intensive industries is a plus; the ability to learn a technical domain quickly is essential Compensation and Benefits: Base salary range: $150,000-$220,000, determined by experience and skills. Total compensation also includes variable pay and equity. Comprehensive health coverage, with low-cost dental and vision plans. A 401(k) with a generous company match and vesting. Fully paid parental leave for new parents, with extended leave options. Additional benefits (mental health, pet insurance, and other wellness perks). 20 days of paid time off (PTO) annually. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. 🧠  You will... Lead a specific feature of the app, seeing it through the entire product development cycle: ideation, specification, development, release, analysis, and iteration Conduct research, analyze market trends and data and develop a product roadmap for a key component of Duolingo’s business (past projects include: teaching Asian languages better, exploring strategy for emerging markets, and product improvements to attract more offline learners) Work closely with UI/UX designers to ensure an excellent user experience Work with engineers to help guide feature development Perform quantitative analysis on features’ performance and find opportunities for optimization ✅  You have... Currently pursuing an MBA graduating December 2027 or Spring 2028 Bachelor’s degree in Engineering, Business, Psychology, Design, Computer Science, or related field 3+ years of professional experience as a PM or in highly related areas, such as software engineering, design, data analysis, language learning, or brand management. Ability to utilize knowledge of user insights, data, and statistical analyses to inform decisions An instinct for creating simple and intuitive user experiences Proven ability to learn fast Demonstrated ability to be resourceful and innovative Experience leading projects and teams A desire to make the world a better place through technology and education 12 weeks of consecutive availability 👀 What you can expect… Dedicated mentorship and coaching from experienced PMs. A chance to own a real project that impacts millions of learners worldwide. Intern-specific events, programming, and opportunities to connect with senior leaders. Exposure to the full product development lifecycle from idea to launch. A fun, mission-driven environment, where you’ll have lots of opportunities to grow as a product manager and make meaningful connections with your colleagues ❤️ Why you’ll love working here… Relocation assistance Language learning opportunities Daily catered in-house lunches and breakfast Company-wide Hackathon PTO and company holidays Frequent company-wide dinners, monthly celebrations, social clubs, and so much more! Connect with your recruiter on the benefits for interns at Duolingo! Hourly Range for this internship is: $63 — $65 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. At Linear, we are committed to quality. Security is an essential part of that quality — not a layer that we add later, but something we build in from the start. We have a foundational security program we're proud of but, as Linear evolves our product and scales into enterprise, there's meaningful work ahead: staying ahead of vulnerabilities as our attack surface grows, responding fast and cleanly when incidents happen, and hardening our product and infrastructure. As Security Engineer at Linear, you'll be operating in a high-autonomy role with real scope, doing hands-on security work across the product and infrastructure we build. Location & work mode Linear is a remote-first company. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do Depending on your experience / skillset and our broader priorities, you could: - Operate, automate, and extend vulnerability management end-to-end: triage, prioritize, and drive remediation across product, infrastructure, and dependencies, and keep the program’s SLAs meaningful rather than theoretical - Run our bug bounty program: triage incoming reports, validate severity, work with engineering on fixes, and keep researcher relationships professional and responsive - Lead product security testing: threat model new features (including AI/agent-facing surfaces), review designs and code for security-relevant risk, and do hands-on testing (manual and tool-assisted) rather than relying solely on scanners - Be a primary responder for security incidents: lead investigation and containment, drive postmortems, and turn lessons into concrete hardening work - Own meaningful chunks of our cloud/infra security posture on GCP/k8s/Postgres: harden configurations, close gaps surfaced by audits or scanning, and partner with infra engineering on secure defaults - Build and maintain security tooling and automation, including using AI/LLM tooling to speed up triage, code review, and repetitive investigation work, so the program scales without linear headcount growth - Partner with the GRC/Trust function: feed real findings into the risk register and control evidence, and help make sure compliance requirements reflect actual engineering practice What we’re looking for - A generalist, senior-level security engineer (5+ years across security engineering, with real depth in at least two of: vulnerability management, product/appsec testing, incident response, and cloud security). We need breadth, rather than a narrow specialist in any one of these. - Hands-on and technical: you can read and reason about code (we use a lot of TypeScript), you’re comfortable in cloud environments (GCP a plus), and you can go deep on a finding rather than just filing a ticket for someone else to fix. You’re comfortable using AI coding/security tools as force multipliers (Linear Agent, Claude, Codex, etc). - Calm under pressure: you can lead an incident from first alert through postmortem without needing to be told what to do next - A builder: you’d rather write a script or ship a tool than repeat a manual process a third time - A pragmatic risk-reducer: you optimize for actually reducing risk, not for checking a box or maximizing findings count - Autonomy-oriented: comfortable setting your own priorities, working with significant independence, and knowing when to escalate - A clear communicator: able to explain a technical finding to a non-technical stakeholder and write it up so it’s actually actionable Our tech This is a hands-on security engineering role. You'll be running tools, reading/writing code, building detections, working in our cloud environment, and partnering closely with the engineers who build our product. Our stack is fronted by Cloudflare and runs on Google Cloud with k8s, Postgres, and Node. For day-to-day work, we use: - Linear, GitHub, Slack, and Google Workspace for collaboration - Claude and ChatGPT for general & engineering-specific AI tasks - Vanta for compliance automation and evidence collection Our security-specific tooling includes: - GitHub Advanced Security - RunReveal - SentinelOne What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $240,000—$282,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - Read Me https://linear.app/readme a story about our mission - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post - How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team - Scaling our real-time sync engine https://linear.app/blog/scaling-the-linear-sync-engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As a Senior Sales Engineer, you’ll combine your technical aptitude, exceptional communication skills, and creative problem solving to help enterprise merchants design and implement scalable, reliable solutions on the Affirm platform. You’ll support pre-sale activities by leading technical discovery, analyzing requirements, and identifying well-architected solutions, while playing a key role in winning deals and driving the business forward. Senior Sales Engineers are part of the Merchant Engineering team and work closely with Affirm’s Sales, Engineering, and Product teams. You will work cross-functionally to develop merchant solutions, serve as a trusted technical advisor to customers, identify product enhancements, and help build internal processes that scale. What You'll Do Technical Expertise: Serve as the subject matter expert on Affirm’s integration solutions, demonstrating deep understanding of merchant checkout, customer journeys, and the competitive landscape. Making the most compelling technical case for Affirm to merchants. Consistently demonstrate your technical expertise and knowledge of Affirm’s product suite through developing and articulating compelling technical narratives that map Affirm’s capabilities to merchant systems, increasing solution scope and long-term platform adoption. Solution Development: Architect elegant solutions addressing specific customer challenges, including complex integrations and customizations. As necessary, think outside-the-box to design and architect end-to-end solutions that address complex merchant challenges, including advanced integrations and customizations. Evaluate tradeoffs across merchant constraints, platform capabilities, and non-functional requirements, and design tailored solutions aligned with each merchant’s business and technical priorities. Merchant Trust: You will be responsible for building the trust of your technical counterparts, both internally and externally, while also fostering long term relationships with our Enterprise & Key merchants. Partner Success: Partner with sales and partner engineering teams to drive opportunities for our largest customers, leading solution strategy and laying groundwork for successful implementations. Product Influence: Act as the "voice of the customer," providing actionable insights to influence product development and feature prioritization to product management at Affirm. Knowledge Scaling: Create and share best practices, reusable assets, and training materials to enhance go-to-market efficiency. Sales Support: Provide technical & architectural input into sales planning and forecasting, identify technical risks and constraints early, and collaborate with Sales Operations to design scalable, repeatable technical engagement models. Work with Sales operations to build and refine scalable business processes. Market Engagement: Develop pre-sales support material and documentation for new products and features. Demo Development: Build and present custom demos as required. What We Look For Passion and drive to change consumer checkouts & payments for the better BA/BS degree in business/technology, or equivalent technical account management experience 4+ years of experience in 4+ years in Sales Engineering, Solution Architecture, Partner Engineering, Solutions Engineering, technical sales or pre-sales roles, focusing on solution architecture and best practices 3+ years of current experience in the payments, fintech, or closely related industry Strong technical acumen in API integrations, SaaS platforms, and enterprise architectures, with particular emphasis on Checkout processes and payment systems Proven ability to manage multiple assignments simultaneously, work independently and drive projects to completion with minimum guidance and high attention to detail Extensive experience with Ecomm, In-Store, Telesales etc. checkout & payment solutions Solid understanding of financial infrastructure industry trends and emerging technologies Keen technical mind comfortable writing scripts in at least one programming language and also AI tooling/usage familiarity Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences Executive presence and strong relationship-building skills Passion for customer success and dedication to championing the customer voice Experience architecting solutions & technically positioning them with prospects for e-commerce platforms, payment gateways, in-store point of sale systems etc. Willingness to travel up to 30% of the time Base Pay Grade - J Equity Grade - 4 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, which includes the annual base pay and the sales incentive target. CAN base pay range per year: $136,350 - $203,850 Please note that visa sponsorship is not available for this position. LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As a Senior Sales Engineer, you’ll combine your technical aptitude, exceptional communication skills, and creative problem solving to help enterprise merchants design and implement scalable, reliable solutions on the Affirm platform. You’ll support pre-sale activities by leading technical discovery, analyzing requirements, and identifying well-architected solutions, while playing a key role in winning deals and driving the business forward. Senior Sales Engineers are part of the Merchant Engineering team and work closely with Affirm’s Sales, Engineering, and Product teams. You will work cross-functionally to develop merchant solutions, serve as a trusted technical advisor to customers, identify product enhancements, and help build internal processes that scale. What You'll Do Technical Expertise: Serve as the subject matter expert on Affirm’s integration solutions, demonstrating deep understanding of merchant checkout, customer journeys, and the competitive landscape. Making the most compelling technical case for Affirm to merchants. Consistently demonstrate your technical expertise and knowledge of Affirm’s product suite through developing and articulating compelling technical narratives that map Affirm’s capabilities to merchant systems, increasing solution scope and long-term platform adoption. Solution Development: Architect elegant solutions addressing specific customer challenges, including complex integrations and customizations. As necessary, think outside-the-box to design and architect end-to-end solutions that address complex merchant challenges, including advanced integrations and customizations. Evaluate tradeoffs across merchant constraints, platform capabilities, and non-functional requirements, and design tailored solutions aligned with each merchant’s business and technical priorities. Merchant Trust: You will be responsible for building the trust of your technical counterparts, both internally and externally, while also fostering long term relationships with our Enterprise & Key merchants. Partner Success: Partner with sales and partner engineering teams to drive opportunities for our largest customers, leading solution strategy and laying groundwork for successful implementations. Product Influence: Act as the "voice of the customer," providing actionable insights to influence product development and feature prioritization to product management at Affirm. Knowledge Scaling: Create and share best practices, reusable assets, and training materials to enhance go-to-market efficiency. Sales Support: Provide technical & architectural input into sales planning and forecasting, identify technical risks and constraints early, and collaborate with Sales Operations to design scalable, repeatable technical engagement models. Work with Sales operations to build and refine scalable business processes. Market Engagement: Develop pre-sales support material and documentation for new products and features. Demo Development: Build and present custom demos as required. What We Look For Passion and drive to change consumer checkouts & payments for the better BA/BS degree in business/technology, or equivalent technical account management experience 4+ years of experience in 4+ years in Sales Engineering, Solution Architecture, Partner Engineering, Solutions Engineering, technical sales or pre-sales roles, focusing on solution architecture and best practices 3+ years of current experience in the payments, fintech, or closely related industry Strong technical acumen in API integrations, SaaS platforms, and enterprise architectures, with particular emphasis on Checkout processes and payment systems Proven ability to manage multiple assignments simultaneously, work independently and drive projects to completion with minimum guidance and high attention to detail Extensive experience with Ecomm, In-Store, Telesales etc. checkout & payment solutions Solid understanding of financial infrastructure industry trends and emerging technologies Keen technical mind comfortable writing scripts in at least one programming language and also AI tooling/usage familiarity Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences Executive presence and strong relationship-building skills Passion for customer success and dedication to championing the customer voice Experience architecting solutions & technically positioning them with prospects for e-commerce platforms, payment gateways, in-store point of sale systems etc. Willingness to travel up to 30% of the time Base Pay Grade - J Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, which includes the annual base pay and the sales incentive target. USA On Target Earnings (CA, WA, NY, NJ, CT) per year: $175,500 - $243,000 USA On Target Earnings (all other U.S. states) per year: $155,250 - $222,750 Please note that visa sponsorship is not available for this position. LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: San Francisco, CA, USA About the role Chime's Data Science & Machine Learning team builds the models, services, and platforms behind how millions of members manage and grow their financial lives. We're hiring a Staff AI/ML Engineer on our Lending and Cashflow team to lead the modeling behind cash flow underwriting and surface member insight: using members' transaction and deposit data to make fair, accurate credit decisions for people that traditional credit scores often miss. In this role, you'll build and deploy machine learning systems on some of the richest transactional and behavioral data in fintech, turning it into the credit decisions behind products like MyPay, Instant Loans, and SpotMe. This is a highly applied role: you'll own problems end to end, from framing the question through to a model running in production and moving a metric that matters, and you'll set the technical direction for how Chime underwrites with cash flow data. In this role, you can expect to Lead the design, training, and deployment of deep learning and classical ML underwriting models that turn members' transaction and cash flow data into credit decisions, from approval and line assignment to loss forecasting Take models from problem framing through to production — training, evaluation, deployment, monitoring, and iteration — and stay accountable for how they behave once they're live Design and improve the systems around the model: feature pipelines, batch and real-time inference, monitoring, and retraining Partner with Product, Engineering, Analytics, and Risk to turn ambiguous business problems into ML solutions, and to make sure the solution is the right one Connect model performance to member outcomes and business metrics, and use experimentation to prove impact Set the technical roadmap for Lending ML and raise the bar across the team through design reviews, mentorship, and shared standards for model development, validation, and governance Help identify where AI/ML creates measurable impact for members — and where a simpler answer is the better one To thrive in this role, you have A track record of leading the design and deployment of deep learning models in production, including multi-quarter initiatives that span teams, with a solid grasp of architecture choice, training dynamics, and evaluation, and the judgment to make model design choices Solid machine learning fundamentals: classical modeling, evaluation design, and knowing which metric actually answers the question in front of you Hands-on experience across the end-to-end ML lifecycle — training, experimentation, optimization, deployment, and monitoring Comfort with messy real-world data, including label definition, leakage, class imbalance, and train/serve skew Strong proficiency in Python and SQL, with deep learning frameworks such as PyTorch and distributed compute such as Spark or PySpark Working knowledge of modern ML infrastructure — AWS and tools such as SageMaker, Airflow, Kafka, Redis, and Snowflake — and an MLOps mindset for keeping production systems healthy The ability to operate independently in ambiguous environments, influence technical direction beyond your own team, and explain model decisions clearly to engineers, risk partners, and senior leaders Nice-to-have Experience in either of these is a plus: Credit or underwriting models, and familiarity with model governance, explainability, and fairness requirements, such as adverse action reason codes and fair lending testing Cash flow or alternative-data underwriting: building credit features from bank transaction data, such as income and expense detection, balance trends, and transaction categorization Deployed transformer models in production #LI-Onsite #LI-DA1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $246,000 — $340,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: Berlin Workplace: OnSite About Peec AI AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions. Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people across our Berlin HQ and our New York office. About the role We're looking for a GTM Enablement Manager to help our sales team ramp faster, sell better, and win more deals. You'll own how our Account Executives and SDRs are onboarded, trained, and coached, and make sure they have the playbooks, content, and market knowledge they need in every deal. You'll work closely with Sales leadership, RevOps, Product Marketing, Product, and Customer Experience. This role is for someone who holds a high bar on execution and moves fast. We use AI to speed up our GTM work, and we expect you to do the same. We also expect you to be the person who catches generic, low-effort output before it reaches a customer. Our brand and our customer experience matter too much to ship anything less than excellent. What you'll do - Own onboarding for new Account Executives and SDRs: build a structured ramp program with clear milestones and certifications that gets new hires productive fast - Design and deliver ongoing training on our product, the AI search market, our sales methodology, and competitive positioning, for new and tenured reps alike - Embed our sales process into day-to-day execution: train and coach reps on qualification, stage exit criteria, mutual action plans, trial management, and negotiation - Standardize SDR-to-AE and Sales-to-CX handoffs, with clear expectations for qualification, documentation, and ownership - Partner with Product Marketing, who own core positioning and messaging, to translate these into practical sales playbooks, training, and customer-facing materials: discovery guides, talk tracks, objection handling, battle cards, email templates, decks, one-pagers, proposals, and case studies. Work with Design to keep them accurate, on-brand, and easy for reps to find - Coach reps alongside sales managers: review calls, run role plays, and use call and deal data to spot skill gaps and sharpen messaging - Run competitive intelligence: track what competitors ship and say, turn it into battle cards and training reps use in live deals, and flag what matters to Product and leadership - Measure what works: track ramp time, win rates, conversion, and content usage with RevOps, report on the impact of enablement programs, and cut what isn't working - Drive adoption of our sales tools (HubSpot, call recording, and AI tools), and build workflows and automations that save reps time - Translate new features and market shifts into training and materials within days, not weeks, so Sales, CX, and Growth all work from the same story What we're looking for - 3 - 5 years in GTM or sales enablement, sales training, or a similar role at a fast-growing B2B SaaS company - A track record of designing and running onboarding and training programs with measurable results, such as shorter ramp time or higher win rates - Strong facilitation and coaching skills: you can run an engaging workshop, give direct feedback on a call recording, and adapt to reps at different experience levels - Working knowledge of modern sales methodologies such as MEDDPICC, Challenger, or Command of the Message, and experience building one into training and process - Data-driven and comfortable with tools: you work confidently in a CRM (HubSpot ideally) and call recording software, turn performance data into training priorities, and have built workflows and automations - Strong stakeholder management: you work across Sales, RevOps, Product Marketing, Product, and CX with different goals, and keep reps up to date on process and product changes without slowing anyone down - Strong product sense: you pick up a technical product and a new market quickly and can explain both simply - Clear judgment on AI-generated content: you use AI to move faster, you know when it makes the work worse, and you push back when quality slips - A strong eye for quality: you notice off-brand colors, inconsistent fonts, and misaligned elements, and you're comfortable making clean edits in Figma, Google Slides, or similar - Proven ability to prioritize in a fast-moving environment, where priorities change weekly - An ability and willingness to travel between our two offices (New York and Berlin) once a quarter - Excellent written English. You write clearly and cut anything that doesn't earn its place Bonus points - Prior quota-carrying experience as an Account Executive or SDR - Experience with an enablement platform or LMS, such as Highspot, Seismic, or WorkRamp - Some exposure to SEO, GEO, or marketing tech, or the curiosity to get up to speed quickly - Experience building competitive intelligence or a customer story program from scratch - Experience at an early-stage company during a period of rapid scale - Fluent German, French, Spanish, or a Nordic language What we offer - Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside - Comprehensive benefits package - Collaborative, high-energy in-office work environment - Opportunity to make a significant impact and define a new market category

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: Remote Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. RESPONSIBILITIES - Kubernetes Ownership: Manage and scale Kubernetes clusters on AWS EKS, ensuring reliability, performance, and security. - Infrastructure Automation: Implement and maintain Infrastructure-as-Code (Terraform/Pulumi) to automate infrastructure provisioning and management. - Performance Optimization: Monitor and optimize system performance, scalability, and resource utilization. - Blockchain Infrastructure: Configure and maintain crypto nodes across multiple blockchains to support our wallet’s operations. - Database Scaling: Optimize and scale database infrastructure to handle terabytes of blockchain data efficiently. - System Reliability: Continuously improve system uptime, monitoring, and observability using tools like Datadog and OpenTelemetry. - Collaboration: Work closely with backend and product teams to support feature development and system scaling. QUALIFICATIONS - 5+ years in a SRE or Software Engineer role. - Strong hands-on experience with Kubernetes (EKS) in production environments. - Proficiency with AWS infrastructure and services (EC2, S3, RDS, IAM). - Solid experience with Docker and Infrastructure-as-Code tools like Terraform or Pulumi. - Monitoring and observability experience using tools like Datadog or OpenTelemetry. The target base salary for this role will range between $200,000 to $250,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer. Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.