Senior Full-Stack TypeScript Developer (AI-Assisted Development) - Believer

What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!    If you want to see what we’ve been up to, please check out these blog posts [https://www.honeycomb.io/blog] and Honeycomb.io press releases [https://www.honeycomb.io/category/press-releases].    Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values [https://www.honeycomb.io/about/] every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.   How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote * LITTLE MORE ABOUT THE TEAM: The LLM Observability (LLM O11y) team builds the foundational layer that makes AI workloads observable in Honeycomb. We define how AI systems are represented in telemetry (spans, traces, token usage, cost, eval signals, etc), and ensure that data from diverse ecosystems (e.g., LangChain, OpenLLMetry, Braintrust) is normalized into a consistent OpenTelemetry-based model. This team owns the infrastructure and data model that all downstream AI observability experiences rely on. Our work powers everything from cost analysis to anomaly detection. If you’re excited about defining and building the “source of truth” for how AI systems behave in production, this is the team for you. WHAT YOU’LL DO IN THE ROLE: * Design, build, and deliver backend systems and APIs. You'll architect and implement APIs and backend services in Go, emphasizing clarity, maintainability, and backward compatibility. You'll think proactively about cost, scale, and risk — anticipating technical issues and exploring alternatives and tradeoffs thoroughly. * Build and maintain full-stack product features. You'll contribute frontend (React/TypeScript) and backend (Go) code to build robust product features, maintaining proficiency across the stack. You'll deliver impactful features that add value for our customers, our team, and Honeycomb overall. * Provide technical leadership. You'll define patterns and operational guidelines that raise the bar for the team and beyond. You'll plan, lead, and deliver complex, multi-team projects — including ones with external dependencies — ensuring alignment and mentoring teammates along the way. We rotate tech lead responsibilities with each feature to allow everyone on the team to use and grow these skills. * Collaborate across disciplines. You'll work closely within a product triad model alongside design and product partners, from discovery through delivery, iterating quickly based on user feedback. You'll contribute to the team's technical roadmap and help shape quarterly product roadmaps, tying technical considerations to business outcomes. * Support and own your software in production. You'll participate in on-call rotations to ensure reliable operations and proactively address user pain points. You know when to shift between forward-looking feature work and production needs. * Communicate clearly and multiply your impact. Regular written and verbal communication, collaboration, and feedback are foundational skills you'll use daily. You'll mentor engineers, share knowledge, and delegate to help others grow — your goal is to make everyone around you more effective. WHAT YOU’LL BRING TO THE ROLE: * Deep experience designing, building, and maintaining backend systems. You have substantial expertise building APIs and backend services in Go (or similar languages), with strong opinions about API design, error handling, and developer experience. You've seen many different patterns and have developed your own frameworks for evaluating how to approach new technical challenges. * Frontend proficiency with React and TypeScript. You have professional experience delivering frontend features and contributing to full-stack software through all stages of the development lifecycle, though your primary expertise is in backend systems. * Experience leading complex technical projects. You've planned and delivered projects that span multiple teams or systems, navigating external dependencies and uncertainty. You know how to break down complex work, ship incrementally, and balance technical investment with business goals. * Ownership and autonomy. You proactively identify problems, propose solutions, and own your projects end-to-end — from planning through deployment and ongoing maintenance. You tackle tech debt proactively and can debug the toughest issues through the entire stack. * A track record of making others better. You've mentored engineers, led technical design reviews, and helped raise the quality bar for a team or domain. People come to you for guidance, and you help build leaders around you. * A collaborative and flexible mindset. You're comfortable working cross-functionally, pivoting priorities to address evolving customer or business needs, and maintaining strong teamwork. We work by building small changes and iterating based on customer interaction. * Clear, open communication. We see clear, thoughtful, and regular written and face-to-face communication — including a willingness to give and receive feedback — as a fundamental engineering skill and one of the strongest predictors of engineering impact, not just a nice to have, and we hope you do too. * An interest in observability and production culture. We maintain an on-call rotation and work hard to keep it from becoming a bad experience. You've supported software in production and have opinions about how to do it well. Bonus points if you want to fold that experience into the Honeycomb product itself. * Nice to have: experience with AI-assisted development. You're proficient with AI coding tools (Copilot, Claude Code, Cursor, etc.) or are excited to incorporate them into your workflow. We're actively exploring how AI can accelerate our development practices.  #LI-DNI Base Salary based on level of experience $183,340—$206,000 USD What you'll get when you join the Hive: * A stake in our success - generous equity with employee-friendly stock program * It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience * Time to recharge with unlimited PTO * A distributed-first mindset and culture (really!) * Home office, co-working, and internet stipend * Full benefits coverage for employees, with additional coverage available for dependents * Up to 16 weeks of paid parental leave, regardless of path to parenthood * Annual development allowance  * And much more...   Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.     Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: * All communications will come from an @honeycomb.io email address * We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—never personal accounts like Gmail or Yahoo. * Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: * Social security or tax identification numbers * Credit card numbers * Bank account information   Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.   We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.   As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.     Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.   For more information regarding our privacy practices please see the Honeycomb Privacy Notice [https://www.honeycomb.io/privacy].   If you do not want us to retain your information for consideration for other roles, or want us to update it, please contact privacy@honeycomb.io [talent@honeycomb.io]. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Bioptimus is building the first universal AI foundation model for biology to fuel breakthrough discoveries and accelerate innovation in biomedicine. With more than $75M in funding, Bioptimus is a fast-growing start-up headquartered in Paris, incorporated in October 2023. Backed by leading international venture capitalists, our world-class team of scientists and engineers is redefining the frontiers of AI and life sciences.  TECHNICAL LEAD, PRODUCT This is a remote role. We’re headquartered in Paris, but the position can be performed remotely outside of Paris. ABOUT THE ROLE ---------------------------------------------------------------------------------------------------------------------------------- We are looking for a Technical Lead to build the product that puts our foundation models for biology into the hands of scientists and engineers. From the back-end services that serve our models, to the APIs that compose them into capabilities, to the feature-level interfaces that bring them to users—you will own features end to end and turn cutting-edge research into reliable, well-crafted products. You'll work in close partnership with our Product Engineers. This is a senior builder's role at the intersection of AI and biology. You'll work across the stack and across teams, set technical direction on the surfaces you own, mentor other engineers, and partner closely with R&D to ship software that makes our models usable and dependable. This is a technical (individual-contributor) leadership role — you lead by shipping complex features yourself, setting the technical bar through ownership, implementation, architecture, standards and mentoring through code reviews and pairing rather than direct reports. As the Product team grows, there's a path to take on people management if that's a direction you want; it is not a requirement of the role. WHAT YOU'LL BE DOING ---------------------------------------------------------------------------------------------------------------------------------- As a Technical Lead, you will have ownership over the following: Product Development (End to End): * Design, build, test, and ship features spanning back-end services and front-end interfaces for our B2B biology products. * Take features from idea to production and own them in operation, balancing speed with quality and maintainability. Back-End & Services: * Design and maintain robust, scalable services and APIs (REST, gRPC) that compose our packaged models into product capabilities. * Build data workflows and work fluently with our core stack (Python, SQL, and related technologies). Building on the SDK & Model Packages: * Build product on top of the SDK and model packages produced by our Product Engineers, and feed back what the product layer needs from those interfaces. Technical Leadership: * Set engineering patterns and standards for the surfaces you own, lead design on ambiguous, cross-cutting problems, and mentor other engineers through code review and pairing. AI-Assisted Development: * Use agentic coding tools (e.g., opencode, Claude) to accelerate delivery, and help shape how our team adopts AI-native development workflows. Cross-Functional Collaboration: * Work closely with Product Engineers and platform/infra engineers to align what we build with real scientific and customer needs. WHAT YOU'LL BRING ---------------------------------------------------------------------------------------------------------------------------------- The successful candidate is a seasoned, technically versatile engineer who ships high-quality software and raises the bar for those around them; they thrive in fast-paced environments and bring clarity to ambiguous problems. Technical Proficiency: * Advanced Python Proficiency: Several years of experience writing clean, well-tested, maintainable Python in production, with a track record of owning features end to end. * Full-Stack Capability: Strong across back-end services and comfortable with modern front-end development (JavaScript/TypeScript with a modern framework such as React, Vue, or similar). * Data & Storage: Solid working knowledge of SQL and designing sensible data workflows. * Cloud Deployment Expertise: Hands-on experience deploying applications and ML models in the cloud (AWS strongly preferred; GCP/Azure a plus) using containers (Docker, Kubernetes). * Software Engineering Fundamentals: Strong grasp of core computer science principles, data structures, and modern CI/CD workflows. Solution Design & Leadership: * Software Design & Architecture: Excellent grasp of object-oriented and functional design principles, with the ability to reason about and explain trade-offs between performance, simplicity, and modularity. * Setting Direction: Demonstrated experience setting technical patterns, leading design on cross-cutting work, and mentoring other engineers. * APIs & Integration: Experience designing and integrating APIs (e.g., REST, gRPC) to ship complex applications. * AI-Native Tooling: Comfortable working with agentic coding tools (e.g., opencode, Claude) as part of your day-to-day workflow. Communication & Collaboration: * Clear Communication: You can explain technical concepts to diverse audiences (from PhD scientists to DevOps engineers) with clarity and empathy. * Team-First Attitude: Independent, curious, and detail-oriented; thrives in a dynamic environment; and is fun to work with. Education: MSc or equivalent experience in Computer Science or a related technical field. Languages: Full professional fluency in English is required for this role. HOW TO STAND OUT? These are not required, but would be a plus: * Direct experience working in Pharma, Biotech, or Healthcare. * Experience building developer-facing products or platforms used by external customers. * Experience leading a team or technically owning a significant product area. * Deep experience with the AWS ecosystem and ML-relevant services (SageMaker, EC2, S3, IAM, RDS). * Familiarity with deep-learning frameworks like PyTorch or JAX, and AI ecosystem libraries such as Hugging Face Transformers. * Experience with the lifecycle of AI models, including deployment, hosting, and optimization for low-latency inference. * Experience building data-rich or scientific visualizations in the front-end. * Experience contributing to and/or maintaining open-source projects. * Experience in a startup or innovative environment, showing adaptability, proactiveness, and eagerness to take on varied responsibilities. THE CANDIDATE JOURNEY ---------------------------------------------------------------------------------------------------------------------------------- To be considered, please submit your CV in English. We believe in a transparent and collaborative interview process. Here is what you can expect after submitting your application:   1. Screening: Once you have applied, the hiring team will review your application to determine if your work experience and skills align with the necessary proficiency of this position 2. Interview Process: You will be invited to a series of interviews. The core stages are outlined below; the order may be adapted and additional conversations may be included to ensure a comprehensive evaluation. * Hiring Manager (30 min): A call to discuss your background, motivation, and expertise, including a deep dive into your technical skills and experience with coding and cloud environments. * Case Study (45min): Ahead of this interview we'll share a take-home case study drawn from real product-engineering work. You'll present and discuss your proposed solution & approach with the team — no live coding. * System Design (45min): A structured, interviewee-led live exercise focused on product delivery and technical decision-making (no prior preparation or materials required). You will be given a product/engineering scenario (e.g., designing a feature or capability on top of our models). * Culture Fit (30 min): A conversation with a small group of team members to discuss your broader motivations and alignment with the company's vision, and for you to ask any final questions. 1. Offer: Following the interviews, our hiring team will make a final decision and be in touch with the outcome. An offer is contingent upon the successful completion of a reference check. 2. On-boarding: Once you have accepted and signed your offer, we will be in touch to begin on-boarding you to Bioptimus.   WHY THIS IS A UNIQUE OPPORTUNITY ----------------------------------------------------------------------------------------------------------------------------------   * Reporting to the Head of Product, a senior, high-ownership role shaping how our foundation models are built into products and accessed by customers, helping realize our vision of integrating state-of-the-art AI into Drug Discovery and Healthcare. * A unique opportunity to apply your software engineering expertise to benefit patients through our Foundation Models for Biology, directly contributing to our mission to understand biology and create lasting impact for patients living with disease. * In addition to a competitive compensation package, you will have a meaningful stake in the company's future, ensuring your contributions are aligned with our long-term value and success. * Flexible work arrangements, including remote options, allowing you to maintain work-life balance while making an impact. * Significant opportunities for professional growth and leadership development in a rapidly evolving field at the intersection of AI and biology. Please note: This role is open in multiple locations, including remote positions. To help our team, please apply to the location where you are primarily based or would prefer to work. And benefit from: * A collaborative and mission-driven work environment. * Competitive salary and equity package. * Flexible work arrangements, including remote options. * Opportunities for professional growth and leadership development. * Shape the future of biology and AI by contributing to groundbreaking work.   We believe that the unique contributions of all Bioptimists create our success. To ensure that our culture continues to incorporate everyone’s perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, or disability status. Decisions related to hiring are made fairly, and we provide equal employment opportunities to all qualified candidates. We take responsibility for always striving to create an inclusive environment that makes every employee and candidate feel welcome.