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Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Voice is becoming the internet’s next interface, but a production-grade Voice AI system is "hard to build" https://greylock.com/greymatter/voice-agents-easy-to-use-hard-to-build/. You’ll join a small founding team of Baseten Voice AI, focused on bringing state-of-the-art open source models into production for Voice AI customers across productivity, customer service, clinical conversation, creator tools, education, and more. You’ll make a meaningful impact on people’s daily lives and help reshape these industries. This is a high-impact, high-ownership role. You will be the primary owner of Baseten Voice AI - our in-house inference stack to power Voice AI models - from product roadmap through engineering implementation. You’ll partner closely with Forward Deployed Engineers, Model Performance Engineers, and sister engineering teams to push the boundaries of Voice AI. EXAMPLE INITIATIVES - Develop world-class model serving stack for state-of-the-art open-source voice models - reduce end-to-end and tail latency (p95/p99), increase throughput, and improve GPU efficiency via profiling, runtime tuning, and server-level optimizations. - Build large-scale, real-time infrastructure for multi-model voice agents - orchestrate STT, TTS, and agent components with streaming I/O to meet customer SLOs. - Design tight training and inference iteration loops for voice model customization - enable fast evaluation, safe rollout, and rapid experimentation for custom voice model development. - Past projects: - Baseten leads Coval’s voice AI benchmark https://www.baseten.co/blog/baseten-leads-covals-voice-ai-benchmark/ - How Notion achieved 2-3x lower latency with AI Meeting Notes https://www.baseten.co/resources/customers/how-notion-acheived-2-3x-lower-latency-with-ai-meeting-notes/ - Cost-efficient, high-performance TTS with Qwen3-TTS https://www.baseten.co/blog/cost-efficient-high-performance-qwen3-tts/ - Fine-tuning Qwen3-TTS for high-quality voice cloning https://www.baseten.co/blog/fine-tuning-qwen3-tts-for-high-quality-voice-cloning/ - The fastest Whisper — with streaming and diarization https://www.baseten.co/blog/the-fastest-whisper-transcription-with-streaming-and-diarization/ - NVIDIA Nemotron 3 Diarization: real-time speaker labels at a cent per audio hour https://www.baseten.co/blog/nvidia-nemotron-3-diarization/ RESPONSIBILITIES - Own and lead Voice AI product areas end-to-end - from architecture and system design through implementation, rollout, and long-term production operations. - Design, build, and operate real-time, large-scale, high-performance model serving systems for STT, TTS, and voice agent workloads for mission-critical customer deployments - Drive cross-team collaboration with sister engineering teams to solve full-stack technical problems, align on priorities, and coordinate end-to-end delivery across the product surface area - Mentor teammates through code reviews, design docs, and technical leadership. REQUIREMENTS - Bachelor's degree or higher in Computer Science or related field - Proven track record owning production-grade real-time, large-scale systems where tail latency (p99) matters. - Proficient coding abilities in one or more popular programming or scripting languages; Python proficiency is a plus. - Good taste in product, particularly developer-oriented tools - Interest in ML/AI infrastructure and willingness to learn - Strong collaboration and communication skills - Comfortable using AI coding assistants (e.g., Claude Code, Codex, Cursor) as a daily productivity multiplier — as an AI-native company, we see this as a must-have skill. NICE TO HAVE - Experience implementing pipeline-level model runtime optimizations such as dynamic batching, async scheduling, or decode-side throughput improvements. - Experience building developer platforms: SDKs, CLIs, APIs, and self-serve workflows for ML or infrastructure products. - Experience with containerization and orchestration technologies (Docker, Kubernetes), service meshes, or distributed scheduling. - Familiarity with speech/audio ML models (STT, TTS, speech-to-speech) - Familiarity with model-serving runtimes (vLLM, TensorRT, ONNX). - Familiarity with systems-level performance profiling across host-device boundaries (e.g. PyTorch Profiler), diagnosing GPU utilization issues - Exposure to customer-facing engineering: pre-sales prototyping, technical discovery, or working directly with customers to ship solutions. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: 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. Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices. For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. 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 - Pair closely with engineering and product to initiate and complete roadmap projects, no hand-offs - Spot opportunities to redesign or refine key screens and flows, as well as smaller quality issues and “paper cuts” as you use Linear - Create mockups, prototypes, and high-fidelity visuals to communicate ideas and describe their execution - Guide and inspire fellow designers through collaborative critique of work-in-progress - Use and improve our lightweight design system components - Help with hiring new teammates that can elevate our team and product What we’re looking for - 7+ years experience designing software - Courage to ask questions, experiment, and advocate for what you feel is right - Humility to accept feedback, adapt your thinking, and iterate toward the best solution - Experience with prototyping in Figma (and beyond with tools like AI, HTML/CSS, Origami) - Ability to distill problems and feedback, then design clear, focused solutions - Effective written and verbal communication skills — much of our work is async 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 $220,000—$268,250. 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 - Part I https://linear.app/blog/a-design-reset and Part II https://linear.app/blog/how-we-redesigned-the-linear-ui of how we redesigned the Linear UI - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - Read me https://linear.app/readme a story about our mission - 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 - Crafting quality that endures https://www.youtube.com/watch?v=pCil7YNhNCU Config keynote by our Co-founder & CEO, Karri Saarinen - 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: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and every action an agent takes is metered, budgeted, and settled through the billing platform this role owns. As a monetization engineer at Perplexity, you'll own the abstractions that let product teams ship new SKUs, run pricing experiments, and convert users into paying customers, without needing to understand billing internals. The usage-based billing system this team owns is foundational to Perplexity Computer and our agentic products: metering every agent action in real time, enforcing credit budgets, and settling costs across entirely new interaction models. You'll work across subscriptions, usage-based billing, and enterprise contracts to ensure every revenue path is reliable, observable, and easy to extend. Tech Stack: Python | Go | Stripe | PostgreSQL | AWS | Docker WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own the billing platform and monetization systems that power Computer and every paid experience across Perplexity. - Lead features end-to-end, from problem definition through technical design, implementation, and launch, including the billing API abstractions that let product teams ship new SKUs, pricing models, and monetization experiments with minimal friction. - Build and operate the subscription, invoicing, and usage-based billing systems that serve millions of users across consumer and enterprise plans. - Hill-climb on reliability: tiered SLOs organized by customer impact, proactive monitoring, and alerting to catch revenue-affecting issues before customers do. - Partner closely with Finance, Data Science, Growth, Security, Support, and go-to-market teams to keep billing data accurate, auditable, and compliant, and to expand payment method coverage and optimize authorization rates globally. - Build internal tooling that empowers Support and Finance to diagnose and resolve billing issues quickly. QUALIFICATIONS - 4+ years of professional software engineering experience. - Direct experience building or scaling billing, payments, subscription, or monetization systems. - Deep familiarity with payment processors (Stripe, Square, etc.), including subscriptions, invoicing, disputes, refunds, and webhooks. - Demonstrated experience and appetite for building in-house billing solutions that rival leading best-in-class buy options. - Strong backend engineering skills in Python with the ability to reason about complex distributed systems. - Experience with relational databases (PostgreSQL) and making data-informed decisions to prioritize work. - Strong product judgment, you translate user and stakeholder problems into simple, effective technical solutions. - Self-motivated with strong ownership instincts, you ship major features ahead of schedule and drive improvements without asking for permission. - Track record of cross-functional collaboration with Finance, Support, or Growth stakeholders. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - 2+ years of hands-on experience with the Stripe APIs and SDKs. - Experience with usage-based or metered billing models, especially metering agent actions, tokens, or other non-traditional units. - Experience with Apple and Google Play in-app purchase billing. - Familiarity with growth experimentation and PLG/self-serve SaaS monetization. - Experience building platform constructs that support pricing experiments and A/B testing. - Full-stack experience (our frontend is Next.js/React/TypeScript). - Experience in a regulatory or compliance-heavy billing environment. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and every action an agent takes is metered, budgeted, and settled through the billing platform this role owns. As a monetization engineer at Perplexity, you'll own the abstractions that let product teams ship new SKUs, run pricing experiments, and convert users into paying customers, without needing to understand billing internals. The usage-based billing system this team owns is foundational to Perplexity Computer and our agentic products: metering every agent action in real time, enforcing credit budgets, and settling costs across entirely new interaction models. You'll work across subscriptions, usage-based billing, and enterprise contracts to ensure every revenue path is reliable, observable, and easy to extend. Tech Stack: Python | Go | Stripe | PostgreSQL | AWS | Docker WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own the billing platform and monetization systems that power Computer and every paid experience across Perplexity. - Lead features end-to-end, from problem definition through technical design, implementation, and launch, including the billing API abstractions that let product teams ship new SKUs, pricing models, and monetization experiments with minimal friction. - Build and operate the subscription, invoicing, and usage-based billing systems that serve millions of users across consumer and enterprise plans. - Hill-climb on reliability: tiered SLOs organized by customer impact, proactive monitoring, and alerting to catch revenue-affecting issues before customers do. - Partner closely with Finance, Data Science, Growth, Security, Support, and go-to-market teams to keep billing data accurate, auditable, and compliant, and to expand payment method coverage and optimize authorization rates globally. - Build internal tooling that empowers Support and Finance to diagnose and resolve billing issues quickly. QUALIFICATIONS - 4+ years of professional software engineering experience. - Direct experience building or scaling billing, payments, subscription, or monetization systems. - Deep familiarity with payment processors (Stripe, Square, etc.), including subscriptions, invoicing, disputes, refunds, and webhooks. - Demonstrated experience and appetite for building in-house billing solutions that rival leading best-in-class buy options. - Strong backend engineering skills in Python with the ability to reason about complex distributed systems. - Experience with relational databases (PostgreSQL) and making data-informed decisions to prioritize work. - Strong product judgment, you translate user and stakeholder problems into simple, effective technical solutions. - Self-motivated with strong ownership instincts, you ship major features ahead of schedule and drive improvements without asking for permission. - Track record of cross-functional collaboration with Finance, Support, or Growth stakeholders. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - 2+ years of hands-on experience with the Stripe APIs and SDKs. - Experience with usage-based or metered billing models, especially metering agent actions, tokens, or other non-traditional units. - Experience with Apple and Google Play in-app purchase billing. - Familiarity with growth experimentation and PLG/self-serve SaaS monetization. - Experience building platform constructs that support pricing experiments and A/B testing. - Full-stack experience (our frontend is Next.js/React/TypeScript). - Experience in a regulatory or compliance-heavy billing environment. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: United States - Remote Workplace: remote About the Role The Technical Account Manager (TAM) is a deeply technical post-sales role focused on driving successful adoption of Azul Prime within a portfolio of strategic customers. Unlike a traditional TAM role, this position is hands-on and technical first. You will spend the majority of your time engaged with customer engineering teams on JVM performance tuning, troubleshooting, reliability engineering, and architectural guidance. Strong relationship skills matter, but it is technical credibility with developers, SREs, and architects that makes this role successful. You will be trusted by Azul’s most important accounts to ensure that their mission-critical Java applications run on Prime with the best possible performance, stability, and cost efficiency. And you will serve as the bridge between customers and Azul’s engineering organization, feeding real-world insights back into the product. What Makes This Role Different Technical depth first. Expect to spend significant time reading thread dumps, GC logs, and flight recordings — not building slide decks. Direct partnership with Azul engineering. You will work side-by-side with our runtime, GC, JIT compiler, and tooling teams on complex customer issues. Ownership of technical outcomes. You own production adoption of Azul Prime within your accounts — from candidate application selection through successful rollout and ongoing optimization. Key Responsibilities Strategic Account Ownership Own a portfolio of named strategic customers, with flexibility to engage additional high-value Azul Prime customers as opportunities arise. Build and maintain deep, long-term relationships with technical stakeholders — SREs, Java developers, platform engineers, and architects. Partner closely with Sales, Customer Success, and Support on joint account planning, renewals, and expansion opportunities. Technical Leadership Serve as the primary technical advisor for Azul Prime across your accounts. Lead troubleshooting, root cause analysis, and performance tuning engagements for JVM-based applications running at enterprise scale. Provide architectural guidance on reliability, scalability, latency, throughput, and cloud cost optimization. Work with customers to identify and qualify candidate applications for Azul Prime, then partner with them through successful production deployment. Product & Engineering Partnership Collaborate with Azul’s runtime, compiler, GC, and tooling engineering teams to resolve complex technical issues. Channel structured, actionable customer feedback into Azul’s product and engineering organizations to help shape the roadmap. Act as a senior point of technical escalation for high-severity issues within your accounts. Enablement & Knowledge Sharing Design and deliver customer-facing workshops, training sessions, and technical business reviews. Create and maintain high-quality technical documentation, runbooks, and reusable customer-facing assets for Azul Prime. Share knowledge internally, mentoring peers across the TAM, Sales Engineering, and Support organizations. Keep internal systems current with account activity, engagement notes, and customer outcomes. Required Qualifications 12+ years in senior technical roles such as software engineering, SRE, performance engineering, or cloud/platform engineering. 8+ years in customer-facing technical roles (TAM, solutions architect, consulting engineer, or SRE with direct customer engagement). Strong working knowledge of Java programming and JVM internals — garbage collection, JIT compilation, class loading, threading, and memory model. Demonstrated experience tuning and troubleshooting enterprise-scale Java applications in production. Demonstrated ability to perform root cause analysis and apply structured problem-solving techniques. Strong Linux fundamentals, including shell scripting and performance troubleshooting on Linux systems. Hands-on experience with distributed systems, public cloud platforms (AWS, GCP, and/or Azure), and containerization (Kubernetes, Docker). Excellent written and verbal communication skills, with the ability to translate complex technical concepts for audiences ranging from individual engineers to senior executives. Based in North America and able to travel occasionally to customer sites (typically 10–20%). Preferred Qualifications Deep specialization in JVM performance tuning, GC behavior analysis, and low-latency Java applications. Experience with observability and monitoring stacks (Prometheus, Grafana, Datadog, New Relic, Dynatrace, JFR, or similar APM tools). Familiarity with microservices architectures and modern cloud-native Java deployment patterns. Cloud platform certification (AWS, Azure, GCP) or SRE-related certifications. Contributions to open-source Java projects or active participation in the broader Java technical community. Experience using Jira and Confluence to raise bugs and maintain documentation. Prior experience with Azul Prime, OpenJDK, HotSpot, or other commercial Java runtimes. Why Azul At Azul, you will work alongside a team of Java experts who genuinely love the platform, on problems that matter to some of the most demanding engineering organizations in the world. Our technology powers mission-critical Java workloads at massive scale, and our customers rely on us precisely because we go deeper on Java than anyone else. If you want your technical expertise to have outsized impact — and you want to be surrounded by people who share that passion — we would love to talk! What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Azul participates in E-Verify. As a US employer, Azul Systems, Inc. uses E-Verify to confirm the employment eligibility of all newly hired employees working in the United States. For more information about E-Verify, please visit www.e-verify.gov.   Employment at Azul is contingent upon the completion of reference and background checks. We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is $150,000 and this job is also eligible for commission/variable pay.  Individual base salaries are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our benefit package includes medical and dental coverage, 401(k) plan, and a wide range of paid time off options.

Location: San Francisco, CA, USA About the Role The Data engineering team has been created keeping in mind the importance and criticality of data for the overall success of Chime.  The mission of this group is to build scalable data artifacts and insights that enable accurate, governed, data-driven decision-making.. As a core member of the team, you will have the opportunity to build scalable data pipelines and frameworks.  Additionally, you will have the unique opportunity to architect and build workflows that could potentially become de facto standards for the fintech industry. In this role, you can expect to Be a hands-on data engineer, building, scaling and optimizing ETL pipelines Design data schemas and scale them data  for 10x data growth Ownership of all aspects of data - data quality, data governance, schema design, data quality and security Develop scalable data architecture and standardized data models that enable self-serve data insights using AI. Own the ETL workflows and make sure the pipeline meets data quality and availability requirements Work closely with partner teams, like Data Science, Analytics and DevOps To thrive in this role, you have 5+ years experience transforming data to governed and lucid datasets 5+ years of hands-on experience to build and deploy production-quality data pipelines 5+ years of experience working with stakeholders to provide business insights 5+ years of experience writing SQL, Spark, AWS Glue, EMR, Airflow, Python 3+ years of hands-on experience using any MPP database system like Snowflake, AWS Redshift or Teradata Track record of successful partnerships with Analytics, Data Science and DevOps teams Understanding of key metrics for data pipelines and has built solutions to provide visibility to partner teams Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary. #LI-Onsite #LI-WW1 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 $164,000 — $227,000 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: Garden City, ID; Houston, TX  ; Itasca, TX  ; Kansas City, MO  ; Milwaukee, WI  ; Missoula, MT  ; Topeka, KS Scheduler Michels Underground Cable, Inc. Location: Various Michels Offices | Full-time | 25% Travel Required Installing underground cables for power transmission, power distribution, renewable energy and communication networks is a necessary step in hardening the electrical grid, delivering reliable communication networks, and integrating renewable energy into our existing systems. Michels Underground Cable, Inc. is one of the most trusted underground line and duct bank contractors in the United States. We do it all – from directly burying or installing protective casing for solid and stranded conductors and copper, fiber optic and coaxial cable. Our work improves lives. Discover how a career at Michels Underground Cable, Inc. can change yours. Position Summary As a Scheduler , you will plan, prepare, monitor, and maintain fully loaded project schedules to ensure project goals are achieved within defined parameters. Success in this role requires strong critical‑thinking abilities, effective communication skills, and exceptional attention to detail. You will collaborate closely with project teams to support accurate forecasting, efficient execution, and informed decision‑making. Why Michels Underground Cable, Inc.? Customers trust us to build cables that will be out of sight, but in high demand Our steady, strategic growth revolves around a commitment to quality. Family‑owned and operated organization with long‑term stability We invest an average of $5,000 per employee per year in training and career development. We perform high-impact, essential work that supports homes, businesses, and communities. A culture where everyone shares responsibility for safety , regardless of title We’re part of the Michels family of companies—one of North America’s largest and most diversified energy and infrastructure contractors. We offer a comprehensive benefits program including: Health, Dental, and Life Insurance Flexible Spending Accounts (FSA) and Health Savings Account (HSA) Short- and Long-Term Disability Insurance 401(k) Retirement Plan Legal Assistance and Identity Theft Protection Plans (Benefits may vary based on position and location) Why You? You like to surround yourself with dedicated, value-driven people. You thrive on new challenges and evolving technologies. You think “we’ve always done it this way” is not a good enough reason. You want to know your efforts are recognized and appreciated. You like making your own decisions—with the right support. You want to be part of a team that improves lives through essential infrastructure. Desired Qualifications Bachelor’s degree in Project Management, Construction Management, Engineering , or a related field —or an equivalent combination of education and 1–3 years of relevant experience 1 - 3 years of experience using Primavera P6 and the Microsoft Office Suite Valid driver’s license for the type(s) of vehicle driven, with an acceptable driving record Ability to travel up to 25% Join a company that powers progress. Be a part of Michels Underground Cable, Inc.— where you don’t just build projects, you build a career. AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Any Maddox Location About Maddox Maddox is the nation’s leading provider of electrical transformers to the commercial and industrial market, with primary locations in South Carolina, Washington State, Texas, Idaho, and Ohio. We have been recognized by Inc. Magazine as one of the fastest-growing companies in America for the past 8 years and counting. Maddox was founded on Christian values, and we are serious about investing in the people, processes, and culture that make this a great place to work. We build real things, solve real problems, and expect professionalism, competence, and integrity from our team. Discover more at: https://www.youtube.com/@MaddoxTransformer https://www.maddox.com/ What You’ll Do: A Maddox internship gives you the opportunity to gain experience in a fast-paced, professional workplace. Our internships are part-time and temporary, designed to help you build real-world skills, grow in confidence, and make a meaningful impact. You’ll be part of a supportive team that values your energy and ideas, and you’ll receive regular feedback from teammates with world-class experience. Who We’re Looking For: Current high school (junior/senior) or college students with a passion for connecting with people. No experience? No problem! We’ll train you—just bring enthusiasm and a willingness to learn. Strong communication skills and a positive attitude. Ability to work independently with direction and as part of a team. Reliable transportation to our office (and a valid driver’s license if applicable). What We Offer: Hands-on training in sales, customer service, operations, finance, or systems. Flexible part-time hours (10-24 hours/week) to fit your school schedule. A fun, supportive team environment where your growth matters. Potential for future opportunities with us based on performance. $17-19/hour pay. Hourly range: $17 — $19 USD

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Collections Experience owns the product experience for Notion’s database block and everything on top of it: properties, views, forms, permissions, and many more features. If you’ve ever typed /database in a Notion page, you’ve already used something our team built. We’re hiring an experienced software engineer to accelerate our mission to build a flexible, reliable, and intuitive primitive that gives everyone the power to model their work exactly as they imagine— from simple lists to the most complex workflows. We’re 8+ engineers, designers, and PMs across SF and NYC. You’ll work across the stack in TypeScript, ship features that touch both the data model and the UI, and help shape where the database block goes next. WHAT YOU'LL ACHIEVE - Design and ship new database properties and views that expand what people can model in Notion - Design permission models that hold up at the scale of our largest customers - Partner with the Agent team to grow what Notion Agent can do with databases, from tool development to eval-driven iteration - Collaborate closely with product and design on features that are ambiguous up front and require strong technical judgment to scope - Raise the bar on code review, testing, and technical design across the team SKILLS YOU'LL NEED TO BRING - 10+ years shipping production software, with a strong track record of owning features end-to-end - Fluency with TypeScript across both backend and frontend - Strong product instincts: you can take a vague problem, propose a solid technical approach, and know when to cut scope - Experience on systems where data model decisions have long-lived consequences (databases, permissions, collaborative editing, or similar) - You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results. NICE TO HAVES: - Experience building database, spreadsheet, or workflow tools - Background in permissions or authorization systems at scale - Familiarity with AI/agent tooling, evals, or LLM-driven product experiences Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $213,000 - $320,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run. Responsibilities Build and improve the RL training infrastructure that researchers depend on day-to-day Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster Own the reliability and performance of research runs end-to-end Contribute to design decisions that shape how Anthropic does RL at scale You may be a good fit if you Have strong software engineering fundamentals and a track record of building performant, reliable systems Have worked on ML infrastructure, distributed systems, or research tooling Care about enabling other people's work and find leverage through platforms rather than individual experiments Are comfortable operating across the stack, from low-level performance work to RL algorithms Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre-training, or post-training) Familiarity with JAX, PyTorch, or similar ML frameworks A track record of operating at the edge of research and infra in a fast-moving environment Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £370,000 — £630,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly (Travel-Required) | 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 The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run. Responsibilities Build and improve the RL training infrastructure that researchers depend on day-to-day Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster Own the reliability and performance of research runs end-to-end Contribute to design decisions that shape how Anthropic does RL at scale You may be a good fit if you Have strong software engineering fundamentals and a track record of building performant, reliable systems Have worked on ML infrastructure, distributed systems, or research tooling Care about enabling other people's work and find leverage through platforms rather than individual experiments Are comfortable operating across the stack, from low-level performance work to RL algorithms Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre-training, or post-training) Familiarity with JAX, PyTorch, or similar ML frameworks A track record of operating at the edge of research and infra in a fast-moving environment Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. Why Technology at loveholidays? Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. The impact you’ll have: You’ll join our Web Infrastructure team, reporting to the Senior Lead Engineer. The team builds the shared foundations behind loveholidays’ customer experiences, spanning our web and app platforms, design system, edge computing and experimentation. You’ll help shape these foundations by: - Building platforms that enable market-leading web performance and accessibility by default, giving product teams the foundations to deliver fast https://medium.com/loveholidays-tech/the-evolution-of-the-loveholidays-web-platform-9b34f59c8c5a, inclusive customer experiences. - Evolving our design system to help engineers, designers and AI agents deliver consistent, high-quality experiences. - Improving developer experience and reliability through faster builds https://tech.loveholidays.com/build-baby-build-276e445f539e, actionable error reporting https://tech.loveholidays.com/stop-chasing-ghost-errors-a-systematic-approach-to-frontend-error-monitoring-that-actually-works-fe5e1c8790cc and tools that make systems easier to develop and operate. - Owning problems from discovery through delivery by working directly with internal customers to identify priorities and validate that solutions meet their needs. Your skillset: - Strong frontend engineering and performance skills – you have deep experience with a modern frontend framework (we use Preact), TypeScript and CSS, and can diagnose performance bottlenecks and measure how architectural and implementation changes affect Core Web Vitals and real-world performance. - Experience building shared frontend foundations – you’ve built and maintained robust and reusable design systems and developer tooling – managing governance, compatibility and providing clear documentation and migration paths for adopting teams. - Accessibility engineering – you have experience embedding automated accessibility checks into component tests and CI, preventing regressions, and complementing automation with keyboard and assistive technology testing. - Infrastructure ownership – you have experience operating production infrastructure through infrastructure as code tools, such as Terraform, with attention to safe changes, observability and reliability. - Building systems for AI agents – you understand how clear interfaces, reusable capabilities, machine-readable context and automated validation help agents work reliably within defined constraints. - Product engineering mindset – you’re comfortable with ambiguous problems, can challenge proposed solutions and weigh trade-offs, and use research, adoption metrics and performance data to guide decisions. The interview journey: 1. TA screening - 30 mins 2. 1st stage interview with the Hiring Manager - 45 mins 3. Tech challenge - you can choose between a live and take home option 4. Final stage - consisting of discussions around three key areas Perks of joining us: - Company pension contributions at 5%. - Individualised training budget for you to learn on the job and level yourself up. - Discounted holidays for you, your family and friends. - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. - Ability to buy and sell annual leave. - Cycle to work scheme, season ticket loan and eye care vouchers. Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: Johannesburg Workplace: remote About Lyra Lyra Health is the leading provider of mental health solutions for employers supporting more than 20 million people globally. The company has delivered 13 million sessions of mental health care, published more than 20 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. Role Overview The international data team is undergoing a complete transformation of their data architecture, migration from a legacy SQL server, Azure Data Factory, SSAS and Power BI stack to Snowflake, dbt, Airflow, Tableau and Sigma. This opportunity will give the successful candidate a chance to share knowledge about best practices with Snowflake and dbt with the team, as well as a chance to build data infrastructure from scratch. Key Responsibilities: Build and maintain pipelines to ingest data from Salesforce and various other data sources Build and maintain dbt models to transform data using Medallion architecture for use by business intelligence tools Work closely with our Business Intelligence team - monitoring and implementing enhancement requests for the data warehouse to meet the reporting demands of stakeholders Work collaboratively with team members in different timezones The successful candidate will also be given the opportunity to develop mentoring skills as we look to expand the team’s skillset to match those of our counterpart US team. As we work collaboratively with team members in different time zones, it is important that the candidate has strong interpersonal skills. Requirements: 3+ years experience in data engineering Experience in development of pipelines to ingest and transform data from sources using REST APIs, AWS S3 and Airflow Experience in building dbt models to transform data using Medallion architecture Experience in maintaining dimensional data models with Type 2 SCDs and star schemas Experience in maintaining data warehouses on SQL Server Experience working with Snowflake, dbt and Tableau is essential In accordance with the Employment Equity Act, preference will be given to suitably qualified candidates from designated groups, including persons with disabilities. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law. By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice."

Location: London, United Kingdom Procurement Manager (Principal Consultant) - Onshore Energy JUMBO Consulting Group (part of Turner & Townsend) is an international procurement and contracts management consultancy, specialising in the development and construction of major clean energy projects. We are hiring a Principal Consultant to join our UK team, to work on a pipeline of onshore renewable energy and nuclear projects. The focus will include onshore wind, solar PV, battery energy storage (BESS), grid and transmission infrastructure, and emerging nuclear opportunities including Small Modular Reactors (SMRs). This is a high-impact role and will play a significant part in building out our UK onshore energy and nuclear capability during an exciting period of sector growth. As a Principal Consultant, you will: Work on some of the most significant onshore clean energy and nuclear programmes in the UK. Deliver procurement and contracts management advice that makes a tangible difference to major projects. Bring specialist insight as part of JUMBO, backed by the reach and scale of Turner & Townsend globally. Develop your career in an entrepreneurial, specialist consultancy with a clear growth trajectory. Work alongside an outstanding team of JUMBO specialists and Turner & Townsend colleagues. Technical Competencies / Expectations: Provide specialist procurement and contracts strategy advice to developers, utilities, investors and public sector clients in the onshore clean energy and nuclear sectors. Manage and collaborate with a team on end-to-end procurement services for major projects and programmes – from strategy development through tender, award and contract administration. Support the continued development of JUMBO’s UK clean energy and nuclear service offering, working closely with the Turner & Townsend team. Support business development, marketing and client engagement across JUMBO’s UK proposition. Support bid preparation and proposal documentation, and contribute to the work-winning capability of both JUMBO and Turner & Townsend. Ability to develop and execute procurement strategy and management within complex projects and programmes. Excellent communication and stakeholder engagement skills. Understanding of commercial principles and modelling. Experience & Qualifications: Experience of leading and/or supporting projects in a strategic procurement environment, ideally within the renewables, energy or major infrastructure sectors. A strong background in tender preparation and the development of procurement documentation in relevant sectors, including design of the process and preparation of key tender and contract documents. Experience of leading and/or supporting supplier engagement activities across the renewables or energy supply chain, from early market engagement through to contract award. Working knowledge of Public Contracts Regulations, Utilities Contracts Regulations or equivalent procurement regimes relevant to UK energy and infrastructure projects. Experience of using a range of standard and bespoke contract forms – including NEC, JCT, FIDIC and/or bespoke EPC agreements – covering drafting, negotiation, award and administration. Have achieved – or is working towards/willing to work towards – MCIPS accreditation or an equivalent professional qualification. Preferably a degree in a relevant discipline – procurement, law, quantity surveying, engineering (civil, electrical, mechanical), energy, or construction. Preferably possess experience working in onshore wind, solar PV, BESS, grid and transmission infrastructure, nuclear (including SMRs), or other major energy and utilities programmes. Security Clearance (SC) – currently valid, or eligible to be obtained or reinstated – is desirable given the nuclear and critical national infrastructure nature of the work. Your Career Our vision is to create a more sustainable world by delivering renewable energy projects globally, but we cannot do this alone. You, alongside your talented and like-minded colleagues, are the individuals that will make the difference. You will play an integral role in the development of critical renewable energy and sustainable infrastructure efforts globally. You will be key to JUMBO Consulting Group’s ultimate success and progress towards achieving our goals. You will continue to grow your career in a high energy environment, alongside colleagues with a true passion for their work and commitment to providing the best possible solutions to their clients’ challenges. Enjoy a highly flexible work environment and a culture that is genuinely inspiring and fosters collaboration across teams and practice groups, as employees strive to provide best in class service. You will have access to development opportunities, such as education, training and cooperation, and collaboration with like-minded people to ensure you reach your full potential and experience daily job satisfaction. We are committed to you, all of your JUMBO colleagues and our future team members, to ensure we are not only working towards a more sustainable future but that we are creating a positive, exciting, and happy place to work. As we continue to grow and expand, we will always focus on you and our people. Take the Next Step: If this sounds like your next challenge, apply directly or for a detailed discussion, reach out to Tom Church at tch @ jumbocg.com. By submitting your CV and application to JUMBO Consulting Group you consent to have your personal data processed and stored in our CV-database for the purpose of recruitment.

Location: UK (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects. In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others. You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations. WHAT YOU’LL DELIVER - Depending on the task, you may be asked to generate original content or assess AI-generated outputs. - Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit. - Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches. - Provide concise, structured annotations that can be used directly for model improvement. - Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards QUALIFICATIONS - Native fluency in the target language - Experience as AI reviewer, annotator, or evaluator preferred - Comfortable working with both textual and audio/video materials - Ability to follow detailed guidelines consistently and provide clear feedback - High attention to detail and ability to thoroughly and accurately categorize content WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY 1 - Submit your application including an updated copy of your CV in English 2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Ireland (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects. In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others. You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations. WHAT YOU’LL DELIVER - Depending on the task, you may be asked to generate original content or assess AI-generated outputs. - Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit. - Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches. - Provide concise, structured annotations that can be used directly for model improvement. - Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards QUALIFICATIONS - Native fluency in the target language - Experience as AI reviewer, annotator, or evaluator preferred - Comfortable working with both textual and audio/video materials - Ability to follow detailed guidelines consistently and provide clear feedback - High attention to detail and ability to thoroughly and accurately categorize content WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY 1 - Submit your application including an updated copy of your CV in English 2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: UK (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects. In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others. You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations. WHAT YOU’LL DELIVER - Depending on the task, you may be asked to generate original content or assess AI-generated outputs. - Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit. - Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches. - Provide concise, structured annotations that can be used directly for model improvement. - Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards QUALIFICATIONS - Native fluency in the target language - Experience as AI reviewer, annotator, or evaluator preferred - Comfortable working with both textual and audio/video materials - Ability to follow detailed guidelines consistently and provide clear feedback - High attention to detail and ability to thoroughly and accurately categorize content WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY 1 - Submit your application including an updated copy of your CV in English 2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: New York City 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 Web Experience Lead to own and shape the Peec AI website as a core part of our product and growth engine. In this role, you’ll oversee the entire web experience, from structure and UX to messaging, design quality, and performance, ensuring the site clearly communicates our product and converts visitors into engaged users. You’ll work closely with Product, Marketing, Growth, and Design to continuously improve key journeys across the site, drive organic traffic through strong SEO foundations, and build a world-class web presence that reflects the quality and ambition of the Peec AI product. WHAT YOU’LL DO - Own the Peec website end-to-end, shaping how the world experiences Peec from first impression to product signup - Oversee all of our web presence, orchestrating structure, UX, design quality, messaging, and performance - Increase organic traffic growth through SEO foundations, site structure, and content architecture - Lead continuous iteration across key journeys: homepage, product pages, pricing, blog/docs, and landing pages - Partner closely with Product, Marketing, Growth, and Design to ensure the website reflects Peec’s product quality and narrative - Manage and coordinate designers and collaborators with high taste and clear direction WHAT WE’RE LOOKING FOR - Proven experience owning and evolving a website at a high-growth B2B SaaS company with a strong design bar - Strong product and UX sensibility - you care deeply about navigation, clarity, storytelling, and user experience - Comfort working hands-on in modern CMS and web tooling ecosystems (Webflow, Framer, headless setups, or similar) - Experience with CRO, experimentation, analytics, and performance marketing-driven landing page workflows - High taste and strong judgment - you know what good looks like and enforce high quality standards - High ownership and proactive execution - you ship, iterate, and continuously raise the bar BONUS POINTS - Experience at companies known for exceptional web and product craft (e.g., Framer, Raycast, Linear, Notion) - Strong product marketing instincts, translating positioning into world-class product pages - Experience building scalable landing page systems for growth teams - Background working with designers and agencies while maintaining strong internal direction WHAT WE OFFER - Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside - Comprehensive benefits package - Collaborative, high-energy in-office work environment - Opportunity to make a significant impact and define a new market category EEOC STATEMENT Peec AI is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law. COMPENSATION The base salary range for this position is $120,000 to $200,000 annually. Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.