Clera

Role Description A fast-growing fintech startup is looking for a highly driven Fullstack Software Engineer to join a small, ambitious team building modern banking infrastructure for global businesses and AI-powered financial operations. You'll have real ownership — taking products from idea to launch and beyond — and work on problems that genuinely matter in a tightly regulated, high-stakes industry. This is a fully remote role open to candidates in US time zones. - Build end-to-end full-stack web features — front-end and back-end — from zero to one and into production. - Integrate third-party APIs and design robust, reliable state machines. - Own projects from ideation through launch and ongoing iteration. - Hold yourself and your teammates accountable to high standards of quality and execution. Qualifications - Proficiency with TypeScript, React, Python (FastAPI), PostgreSQL, and AWS — these are dealbreakers. - Strong background building web applications. - Experience delivering software in fintech or regulated industries. - 2–9 years of professional full-stack software development experience. - Solid computer science fundamentals. Requirements - Side projects — you've built something out of ambition, curiosity, or just because you wanted to. - Educational background from a reputable CS or engineering program. - Experience at a fintech, crypto, or financial services company (e.g. payments, banking, treasury, cards). - Preference for candidates without extensive big-tech backgrounds (outside of Amazon). Benefits - Competitive compensation package (details shared during the interview process). - Opportunity to join a profitable, high-growth fintech at an early stage. - High ownership and meaningful scope from day one. Location Fully remote — US time zones. Primary hub is New York, NY.

Role Description We're an AI-native financial planning and analysis (FP&A) platform helping finance teams modernize their operations — connecting data sources, automating reporting, and enabling deeper strategic insights. Backed by top-tier investors and at the Series A/B stage, we're a team of ~30–50 people building category-defining software in the fintech space. We're looking for a Staff Fullstack Engineer to lead platform development from the ground up. This is an early, high-impact role where you'll partner directly with executive leadership and help shape the architecture, engineering culture, and technical direction of the product. What You'll Do - Partner closely with the CEO, CTO, and broader engineering team to prioritize and execute on the product roadmap. - Design, develop, and own complex features and software components end-to-end. - Deliver robust, scalable, and well-tested code across the full stack. - Establish engineering best practices that lay the foundation for a high-performing, growing technology team. - Collaborate with Design and Operations teams to continuously improve the product. - Provide technical leadership and mentor fellow engineers. Qualifications - 8+ years of software development experience. - 3+ years of experience contributing to system design or architecture. - Strong full-stack proficiency: TypeScript/JavaScript on the frontend and Node.js on the backend. - Experience with React. - Proficiency with Google Cloud Platform (GCP) and BigQuery; ability to architect, deploy, and operate scalable services in a cloud environment. Requirements - Experience modeling, querying, and optimizing MongoDB schemas for performance at scale. - Strong testing discipline across unit, integration, and end-to-end tests. - Proven ability to collaborate with executives and cross-functional teams to define strategy, requirements, and deliverables. - Demonstrated track record of designing, architecting, and shipping scalable software systems. Benefits - Salary: $185,000 – $240,000 USD annually - Visa sponsorship is available. - This role is fully remote, open to candidates based in the United States, Canada, or LATAM.

• Define and execute a multi-channel GTM strategy to accelerate revenue and growth. • Lead branding and storytelling to craft a compelling narrative and market position. • Oversee paid advertising, social channels, partnerships, and influencer programs. • Collaborate cross-functionally with product, sales, design, and customer success. • Set budgets, forecast outcomes, and measure ROI across channels. • Build, mentor, and scale the marketing function as the company grows. • Develop and deploy high-impact marketing campaigns and dashboards to track performance.

Role Description We're a fast-growing, angel-funded European AI SaaS startup building a German-language AI phone assistant used by thousands of businesses across Europe. Our small, high-ownership engineering team works in a remote-first environment, and we're looking for a Senior Fullstack Engineer to take end-to-end responsibility for building product features that deliver real, measurable value to customers. You'll work at the intersection of product and engineering — owning features from first idea through architecture, implementation, and release. Native-level German proficiency is required for this role, as our product and customers are primarily German-speaking. What You'll Do - Own features end-to-end: from idea and prototype through architecture, implementation, and production release. - Engage directly and continuously with customers, partners, and Sales to surface real pain points and turn them into product improvements. - Run product discovery by forming hypotheses and validating them with lightweight, quick experiments before committing to large builds. - Instrument your features and gather the metrics needed to enable data-driven product decisions. - Build pragmatic, scalable software that balances immediate customer value with long-term maintainability. - Communicate asynchronously wherever possible and prioritize shipping over excessive meetings. - Act with radical ownership — push initiatives forward without waiting for permission. - Work remotely with CET overlap, with the option to work from the Vienna office as needed. Qualifications - 5+ years of experience as a fullstack engineer with end-to-end delivery responsibility for customer-facing web applications. - Strong hands-on experience with Node.js, TypeScript, NestJS, and React. - Native-level German language proficiency. Requirements - Experience with product discovery: forming hypotheses and validating them quickly through experiments. - Proven ability to identify, collect, and use metrics to support data-driven decisions. - Track record of collaborating with customers, partners, and sales teams to understand pain points and define value. - Experience owning architecture decisions through to production release for customer-facing applications. Nice to Have - Experience integrating LLMs (e.g., OpenAI) into software applications — a major plus. - Experience deploying AI-enabled services on Microsoft Azure in Europe. - Familiarity with GDPR and EU AI Act considerations for AI services. - Prior experience in a high-growth startup environment. Benefits - Salary range: $80,000 – $120,000 USD annually. - Remote-first work environment with CET overlap. - High autonomy and direct impact on product direction. - Work with a lean, high-calibre team on cutting-edge AI technology. - Visa sponsorship is not available for this role. Location - Fully remote (CET overlap preferred). - Optional access to the Vienna, Austria office. - Candidates based in Austria or Germany are particularly well-positioned.

• Own core backend platform features end-to-end — from concept and architecture through deployment and iteration • Build and maintain low-latency, highly available backend services that power real-time threat detection • Collaborate cross-functionally in a fully remote, distributed team environment • Integrate external data sources and OSINT-style data feeds into the platform pipeline • Contribute to AI pipeline architecture and agentic workflow systems • Drive 0→1 feature development with a high degree of autonomy and accountability

• Design and implement core chat and real-time features for a production healthtech product. • Collaborate closely with a small, cross-functional founding team to define and execute technical direction. • Build reliable, scalable services and iterate quickly based on real user feedback. • Participate in architecture and design discussions, balancing speed-to-ship with long-term maintainability. • Own components end-to-end — from implementation and testing through to monitoring and observability.

Role Description We're building the AI-native distribution layer for the insurance industry — a massive, largely untouched market still running on manual workflows and legacy software. Voice is core to our product, not an afterthought: we operate a real-time voice platform with growing call volume and millions of production traces. As a Voice AI Engineer, you'll own critical pieces of that infrastructure end-to-end, from telephony and ASR/TTS pipelines to the agent-skills layer that powers live calls. We're a fast-moving, distributed team with an AI-native engineering culture. We ship things that work for real customers — not demos. What You'll Do - Build and improve our real-time voice platform: call handling, ASR/TTS pipelines, and latency-sensitive audio processing. - Work on telephony infrastructure (Twilio/SIP) and the agent/skills layer powering live calls. - Drive reliability and latency improvements for a system handling growing call volume at scale. - Instrument and monitor voice quality, latency budgets, and failure modes in production. - Ship daily using AI coding tools (Claude Code / Codex) as a core part of how you work — we're an AI-native engineering org. Qualifications - Real-time voice / telephony experience: hands-on with Twilio, SIP, ASR/TTS, or latency-sensitive audio systems. - Strong TypeScript / Node.js for production backend systems. - High ownership mentality — you take a feature from design to production and support it after launch. - Comfortable with distributed/event-driven systems, on-call rotations, incident response, and latency budgets. - Proficiency instrumenting and monitoring voice quality and failure modes in production. - Eligible to work in LATAM, Ukraine, or Portugal (fully remote); visa sponsorship is not available. Requirements - Experience building agentic systems in production (tools/skills frameworks, MCP, evals, guardrails). - Applied LLM work: fine-tuning, distillation, eval-driven development. - Background in insurance, fintech, or another regulated/compliance-heavy vertical. - Daily use of AI-assisted development tools (Claude Code, Codex, or similar). Tech Stack - Backend: TypeScript, Node.js, NestJS (monorepo) - Orchestration: Temporal (Temporal Cloud) - Data: PostgreSQL on AWS RDS (multi-tenant), Terraform IaC - AI: Anthropic + OpenAI models - Platform: AWS, Clerk (auth), Datadog (observability) - Tooling: Linear, GitHub, Claude Code + Codex Benefits - Salary up to $72,000 USD annually (floor dependent on experience and location) - Fully remote role with a distributed, international team - High-autonomy, high-ownership engineering culture - Work closely with customers and directly influence product direction Location This is a fully remote position. We are currently hiring candidates based in LATAM, Ukraine, or Portugal. Visa sponsorship is not available.

Role Description This is a founding engineering opportunity at a Y Combinator Spring 2026 consumer wearable startup operating at the intersection of emotional intelligence and computational neuroscience. The company is building a wearable device that measures and surfaces real-time emotional-state data — think energy, mood, and focus — derived from a proprietary inference model processing over 150 audio and biometric signals. Prototypes are already on users' wrists. As the Founding Full-Stack iOS Engineer, you will own the companion iOS app end-to-end — the primary surface through which users experience and act on their emotional data. This is a high-ownership, high-impact role with a direct line to the founding team and a clear path to leading the engineering org as the company scales. What You'll Do - Own the companion iOS app from architecture through to polished, consumer-grade delivery - Integrate and surface real-time emotional-state outputs (e.g. energy, mood, focus scores) from the backend inference model into the app experience - Build and iterate on UI/UX that makes complex neuroscience outputs intuitive and actionable for everyday users - Collaborate closely with research and hardware to shape the full product experience - Lay the technical foundations and engineering culture as an early founding hire Qualifications - Strong, proven experience shipping consumer iOS apps (Swift) — a few years minimum; not a role for recent graduates - Full-stack capability: comfortable owning both the mobile layer and relevant backend/API integration - Track record of building polished, high-quality consumer-grade mobile experiences - Ability to move fast and operate with high autonomy in an early-stage environment Requirements - Experience with health, fitness, or wearable app ecosystems (HealthKit, CoreMotion, Bluetooth LE, etc.) - Interest in biometrics, emotional intelligence, or computational neuroscience - Prior founding or very early-stage startup experience Benefits - Salary: ~$150,000 USD (San Francisco) / ~£75,000 GBP (London) - Equity: Up to 1–2% — meaningful founding-level ownership - Seed-stage company with angel and strategic investment; recently completed a funding round - Visa sponsorship: Not available for new sponsorships; visa transfers are welcome Location Primary location is San Francisco, CA, with flexibility for London, UK or remote candidates depending on experience and fit. The team is small (5 people) and moves quickly — proximity to the founding team is valued.

Role Description This is a founding leadership role at an early-stage neurotechnology company. You will drive the technical roadmap and scale the engineering team while working closely with company leadership on product direction and iteration. You'll own everything from infrastructure and reliability to engineering culture and hiring. This role requires someone deeply hands-on who can zoom out to set architecture and roadmap direction, and zoom in to ship code alongside the team. You should have lived through 0→1 product development and have strong instincts about when to build for scale versus moving fast and iterating later. What You'll Do - Set technical architecture and roadmap direction for the product - Build and scale the engineering team while maintaining strong culture - Work closely with founding team to drive product direction and iteration - Drive engineering efforts in fast-paced, scrappy environments - Own infrastructure, reliability, and technical decisions - Participate in user research, data analysis, and experiment design - Translate ambiguous product goals into clean technical decisions Qualifications - 2+ years building product at early-stage startups - Track record of shipping products people genuinely love, from 0→1 - Experience driving engineering efforts in fast-paced environments with strong instincts about what matters at this stage - Product engineer at heart: comfortable with ambiguity and able to engage in user research and data analysis - Experience with cloud-based product architecture at scale Ideal Qualities - High energy, low ego, deeply mission-driven - Someone who pushes hard and brings out the best in people around them - Equally comfortable in product strategy conversations and code reviews Nice to Haves - Native mobile development experience (iOS/Android) or experience managing teams who do - Hands-on experience with RAG pipelines, agentic systems, or LLM-based products - Background in consumer health or wellness technology Benefits - Competitive salary, equity package, benefits, and flexible PTO. Location - Remote or flexible work arrangement available.

Role Description This is a mid-level AI Engineer role on the core product team, focused on building agentic systems that automate complex, multi-step workflows across regulated and enterprise domains. You'll work across the full stack to ship production LLM-based services, ensure reliability and safety, and collaborate with leadership, product, and design to deliver measurable user impact. What You'll Do - Design, build, and maintain agentic systems that automate complex, multi-step workflows across healthcare, legal, fintech, logistics, and compliance domains. - Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure including vector databases, embeddings, and indexing for domain-specific search at scale. - Implement multi-agent orchestration, tool-calling, memory, and reasoning components to deliver robust AI-driven user experiences. - Develop evaluation and safety infrastructure to measure model performance, surface regressions, and enforce enterprise-level trust and reliability. - Ship full-stack AI products from MVP to enterprise-grade by designing APIs and data models, implementing frontend and backend code, and operating production systems with CI/CD, monitoring, and testing. - Collaborate with leadership, product, and design to prioritize work, define success metrics, and iterate based on user feedback and telemetry. Qualifications - 2–8 years of software engineering experience with demonstrated delivery of shipped user-facing or backend products. - Practical experience deploying LLMs or LLM-based services in production, including prompt design, orchestration, and tool integration. - Proficiency across the stack: Python plus TypeScript/React (or equivalent), and experience with cloud platforms (AWS or GCP) and relational or NoSQL databases. - Working knowledge of RAG patterns, vector databases, embeddings, and retrieval pipelines, with sound judgment to choose appropriate approaches. - Experience building automated tests, evaluations, and monitoring for AI systems to ensure reliability beyond demos. - Experience with agent or workflow frameworks and orchestration tools. - Familiarity with fine-tuning, parameter-efficient tuning, or multi-modal model integration. - Background building multi-tenant or enterprise-ready systems, or experience in regulated industries such as healthcare, fintech, or legal. - Experience designing API-driven, high-throughput systems and real-time product features. - Proven ownership delivering end-to-end features from data model to deploy and monitoring, with a user-centric and pragmatic engineering mindset. Location - Remote or San Francisco, CA, United States.