Member of Technical Staff — Audio and Voice AI

🏢 Summary: High-impact full stack Applied AI role focused on designing, building, and scaling end-to-end systems for a B2B financial operations platform. You will own projects from architecture to production, delivering scalable backend services and modern frontend experiences while collaborating closely with cross-functional teams and customers. The role combines deep technical execution with system design, cloud infrastructure, and engineering leadership in a fast-growing startup environment. 🗂️ Requirements: 5+ years full stack engineering experience, Strong proficiency in Python, Strong proficiency in TypeScript, Experience building scalable backend services, Experience building modern frontend applications, Expertise in database design, Expertise in API development, Strong system architecture knowledge, Experience with modern frontend frameworks (Vue.js, React, or Angular), Experience with backend frameworks (Django, FastAPI, Flask, or Node.js), Hands-on experience with cloud platforms, Experience with containerization, Experience with CI/CD pipelines, Ability to lead complex cross-stack projects, Experience mentoring engineers 📃 Skills: Python, TypeScript, Vue, React, Angular, Django, FastAPI, Flask, Node.js, AWS, GCP, Azure, CI/CD, APIs, Microservices, SQL, Containers 🏢 Description: Stuut is transforming accounts receivable for B2B companies, making collections smarter and faster for organizations that have historically relied on manual, labor-intensive processes. The platform is used by finance teams across industrials, chemicals, and manufacturing sectors, from Fortune 10 brands to scaling midmarkets. The Role We’re hiring a Member of Technical Staff – Applied AI, Fullstack to design, build, and scale end-to-end systems that power Stuut’s platform for B2B financial operations. You’ll work closely with Product, Design, Backend, and Frontend teams, as well as customers, to deliver seamless, high-performance experiences across the entire stack. This is a high-impact role for someone who can own projects from inception through scaling, think across systems, and deliver reliable, user-centered solutions. You’ll play a critical role in shaping engineering culture and product experience, ensuring full stack systems are elegant and scalable. What You’ll Do - Drive the full stack technical vision through cross-functional collaboration across product, design, and engineering. - Lead complex projects spanning frontend, backend, and system integrations, from API design to polished user experiences. - Build end-to-end features from database schema to production-ready UI, ensuring seamless data flow, scalability, and performance. - Design and implement robust backend services, APIs, and microservices while crafting intuitive, responsive frontend experiences. - Continuously improve engineering processes, tools, and systems to scale productivity, reliability, and velocity. - Recruit, mentor, and develop engineering talent, fostering a culture of excellence, humility, and speed. - Engage directly with customers to understand and solve complex workflow challenges. You Might Be a Fit If You… - Have 5+ years of full stack engineering experience with a track record of delivering products at scale. - Are highly skilled in Python and TypeScript, with experience building robust backend services and modern frontend applications. - Have strong expertise in database design, API development, and system architecture. - Are proficient in modern frontend frameworks like Vue.js, React, or Angular and backend frameworks such as Django, FastAPI, Flask, or Node.js. - Have hands-on experience with cloud platforms (AWS, GCP, Azure), containerization, and CI/CD pipelines. - Thrive in early-stage startup environments and enjoy building systems and processes from scratch. - Enjoy engaging directly with customers to shape technical solutions. - Have experience mentoring engineers and shaping high-performing engineering cultures. - Are committed to continuous learning and solving customer pain points through scalable solutions. Compensation Top-of-market salary and equity package Benefits (for U.S.-based full-time employees) - Medical, dental & vision insurance coverage - 401(k) & match - Equity - Flexible PTO - Parental leave Compensation Range: $185K - $250K

🏢 Summary: Founding Technical Recruiter role focused on building and scaling the full-cycle recruiting function for technical teams including AI/ML, Engineering, Data, and Design. The position involves sourcing senior technical talent, partnering with leadership on hiring strategy, and creating recruiting processes and infrastructure for a fast-growing AI company. 🗂️ Requirements: 4+ years of full-cycle technical recruiting experience, Experience recruiting for senior and staff-level engineering roles, Strong sourcing experience for hard-to-fill technical positions, Experience in a fast-growing product-led startup, Ability to use recruiting metrics and pipeline data, Experience building recruiting processes and interview frameworks, Ability to work autonomously and manage end-to-end searches, Willingness to work in person in SF or NYC office 📃 Skills: Recruiting, Sourcing, ATS, AI, ML, Data, Engineering, Analytics 🏢 Description: Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One.The RoleWe're hiring our first dedicated recruiter. Nearly every open role at Stuut today is technical—AI/ML, voice infrastructure, applied AI engineering, data, and design—and the pace of hiring is only accelerating. As our Founding Technical Recruiter, you'll own the full recruiting lifecycle for these roles, from sourcing through offer, and build the talent function itself: the processes, tooling, employer brand, and hiring standards that will carry us through the next several years of growth.You'll report directly to the CEO and partner day-to-day with engineering and product leadership. This is not a role where you inherit a playbook—you'll write it. If you're energized by owning searches end-to-end for senior technical talent, being measured on the quality of the people you bring in, and shaping how a fast-moving AI company scales its team, this is the seat.What You'll DoOwn full-cycle recruiting for technical roles: run searches end-to-end across Engineering, AI/ML, Data, and Design—from kickoff and sourcing through interviews, references, and closed offers.Source proactively and creatively: build pipelines of exceptional senior+ engineers and researchers through outbound, referrals, communities, events, and channels other recruiters haven't thought of yet. Top candidates here won't come inbound—you'll go find them.Partner with leadership as a trusted advisor: work directly with the CEO and hiring managers to define role scope, success profiles, and evaluation criteria—and be a consistent voice for quality throughout the process.Build the recruiting function from scratch: stand up our processes, interview frameworks, scorecards, and ATS hygiene; establish the metrics and reporting that keep hiring fast and honest.Deliver an exceptional candidate experience: every candidate—hired or not—should leave the process thinking more of Stuut than when they entered it.Champion Stuut's story in the market: represent our product, traction, and technical bar to passive candidates and position Stuut as the place ambitious engineers want to build.Use data to get better every week: track pass-through rates, diagnose bottlenecks, and iterate on sourcing and process based on what the numbers tell you.You Might Be a Fit If You…Have 4+ years of full-cycle recruiting experience with a focus on technical roles, ideally in-house at a fast-growing, product-led startup.Have owned searches for senior and staff+ engineering talent and can establish instant credibility with technical leaders and candidates.Have strong sourcing chops—you're comfortable building pipelines for hard-to-fill roles rather than waiting on inbound.Have worked somewhere with a very high talent bar and understand the subtle indicators that separate good from great technical talent.Are data-driven: you use pipeline metrics to prioritize your time, spot problems early, and make the case for change.Operate with autonomy—you're used to leading searches end-to-end and prioritizing your own workload without direction.Are excited to build a function, not just fill seats: processes, employer brand, and hiring infrastructure that scale.Want to work in person, at speed, alongside the founders in our SF or NYC office.CompensationTop-of-market salary and equity packageBenefits (for U.S.-based full-time employees)Medical, dental & vision insurance coverage for you401(k) & MatchEquityFlexible PTOParental LeaveCompensationTop-of-market salary and equity packageBenefits (for U.S.-based full-time employees)Medical, dental & vision insurance coverage for you401(k) & MatchEquityFlexible PTOParental LeaveCompensation Range: $180K - $250K

🏢 Summary: Founding Data Engineer role responsible for building and owning the entire data stack, transforming raw financial and ERP data into reliable datasets, analytics, and ML-ready pipelines that power product intelligence and business decisions. You will design scalable data infrastructure, canonical models, and metric layers from scratch in a fast-growing fintech environment. 🗂️ Requirements: 3+ years building production data pipelines with Python, Strong SQL proficiency, Experience with cloud data warehouses (Snowflake or BigQuery), Experience implementing ETL/ELT workflows with dbt, Airflow, or similar tools, Experience designing data models and canonical schemas, Experience building or contributing to semantic/metrics layers, Experience working with SaaS APIs, ERPs, and third-party integrations, Focus on data quality, testing, lineage, and observability 📃 Skills: Python, SQL, Snowflake, BigQuery, dbt, Airflow, ETL, ELT, DataOps, DataModeling, APIs, ERP, MachineLearning 🏢 Description: Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role To build the data foundation that powers Stuut's intelligence layer. You'll work closely with our product and engineering teams to transform raw financial data into actionable insights that help our customers get paid faster. This is a foundational role, you'll be our first data hire, which means you'll shape everything from our data architecture to how we think about analytics. This is a high-impact role for someone who can think strategically about data infrastructure while rolling up their sleeves to build pipelines, models, and systems from scratch. You'll translate messy data into clean, reliable datasets that drive product decisions, customer insights, and business growth. If you've ever wanted to own the entire data stack at a fast-growing company, this is it. What You’ll Do Build and own our data infrastructure from the ground up — design pipelines that ingest, transform, and model data from customer ERPs, payment processors, and internal systems Build the transformation and semantic layer that serves as the single source of metric truth across customer-facing analytics, internal reporting, and our AI/ML systems Design the canonical data model that normalizes information across heterogeneous source systems, with quality tests and observability built in from day one Build the event and signal pipelines that turn product interactions and outcomes into clean, labeled data — the foundation for analytics, ML, and intelligent product features Partner with product, engineering, and applied ML to embed data quality, lineage, and observability into everything we ship Implement DataOps best practices so our data — and the AI features built on top of it — stays timely, accurate, and trusted Collaborate with leadership to define KPIs, build dashboards, and surface insights that drive strategic decisions Scale our data platform as we grow from dozens to hundreds of customers, anticipating needs before they become bottlenecks You Might Be a Fit If You… Have 3+ years of hands-on experience building production data pipelines using Python Know your way around SQL and modern cloud data warehouses; experience with Snowflake or BigQuery is a plus Have deep experience implementing ETL/ELT workflows at scale using tools like dbt, Airflow, or similar — and have opinions on what good looks like Have built or contributed to a semantic / metrics layer and care about metric consistency across surfaces Understand data modeling fundamentals and can design canonical schemas that normalize messy, heterogeneous source data into something usable Have worked with real-world data from SaaS APIs, ERPs, and third-party integrations — and have battle scars to show for it Care deeply about data quality and observability — freshness, lineage, automated testing, and anomaly detection as first-class concerns Have experience partnering with ML or applied AI teams on feature pipelines or supporting data infrastructure (bonus, not required) Thrive in ambiguity and get energized by building something new rather than inheriting someone else's stack Have experience (or strong interest) in fintech, B2B SaaS, or financial data — understanding AR/AP workflows is a big plus Compensation Top-of-market salary and equity package Benefits (for U.S.-based full-time employees) Medical, dental & vision insurance coverage for you 401(k) & Match Equity Flexible PTO Parental Leave Compensation Range: $135K - $190K

🏢 Summary: Senior Product Designer role focused on building AI-driven and automated UX workflows for B2B accounts receivable software. The position involves collaborating with product, engineering, and customers to design enterprise-grade interfaces and scalable design systems in a fast-moving startup environment. 🗂️ Requirements: 5+ years of B2B product design experience, Experience in SaaS or enterprise software, Strong enterprise UX expertise, Experience with workflow automation, Experience designing AI-driven interfaces, Ability to design prompt-based user experiences, Proficiency with AI tooling for prototyping, Technical fluency with engineering collaboration, Portfolio focused on UX/UI for B2B and AI products, Experience with Figma, Experience with prototyping tools, Knowledge of user research methodologies, Ability to work in a startup environment 📃 Skills: Figma, UX, UI, SaaS, AI, Automation, Prototyping, Research 🏢 Description: Stuut is transforming accounts receivable for B2B companies by making collections smarter and faster through AI-driven automation. About the Role As a Senior Product Designer, you’ll play a critical role in shaping the user experience, designing interfaces that feel intelligent, agentic, and seamless for customers. You’ll collaborate closely with engineering, product, and customers to craft intuitive workflows that leverage AI and automation. What You’ll Do - Design experiences that are instantly familiar to customers and set the bar for agentic UX and financial workflows - Own customer outcomes by identifying opportunities, testing solutions with customers, and partnering with product and engineering teams through release and beyond - Think in systems and balance long-term vision with speed and iteration - Design patterns and modules that increase shipping velocity and customer familiarity - Seek alignment early using prototypes, data, and customer feedback What We’re Looking For - 5+ years of experience in B2B product design, preferably in SaaS or enterprise software - Strong background in enterprise UX, workflow automation, and AI-driven interfaces - Experience designing prompt-based or AI-powered user experiences - Ability to use AI tooling to prototype projects - Technical fluency and comfort working with engineering teams on complex, data-driven products - Portfolio showcasing UX/UI work focused on B2B, automation, and AI-driven interfaces - Experience with Figma, prototyping tools, and user research methodologies - Self-starter mentality and comfort working in a fast-moving startup environment Compensation - Top-of-market salary and equity package Benefits - Medical, dental, and vision insurance coverage - 401(k) with match - Equity - Flexible PTO - Parental leave Compensation Range: $220K - $290K

🏢 Summary: Senior DevOps / Platform Engineer role focused on owning deployment, reliability, and operational excellence for a Voice AI product in production. The position emphasizes hands-on infrastructure, CI/CD, observability, and running AI-heavy voice systems at scale. The engineer will independently improve production systems, developer workflows, and operational standards. 🗂️ Requirements: Senior-level experience in DevOps, Platform Engineering, SRE, or Infrastructure Engineering, Strong cloud experience with AWS, Azure, or similar, Hands-on experience with Infrastructure as Code, Experience building and maintaining CI/CD pipelines, Strong knowledge of reliability, observability, and incident response practices, Experience operating production systems, Ability to work across infrastructure and backend layers, Experience using AI tools in daily engineering workflows, On-site work in Warsaw 📃 Skills: AWS, Azure, CI/CD, IaC, SRE, DevOps, STT, TTS, STS, Observability, Infrastructure, Cloud, AI 🏢 Description: About Shelf Shelf builds software that helps enterprises make AI work in the real world. For our Voice AI product, that means reliable runtime systems, strong deployment paths, and production infrastructure that lets engineering teams move fast without creating operational chaos. About the role This role is for a senior DevOps / platform engineer who can independently own how our Voice AI product ships and runs. You will work directly with the team building our Voice AI product rather than as part of a generic centralized Platform function. The job is to make deployment, reliability, observability, and operational quality materially better. That includes infrastructure, CI/CD, environments, incident follow-through, and the practical realities of running AI-heavy systems in production. Real hands-on experience deploying voice-related systems such as STT, TTS, or STS workloads is a strong plus because it is highly relevant to the direction of the work. Location – Warsaw, work from the office What You Will Own Improve how Voice AI services are deployed, run, observed, and supported in production. Build and maintain infrastructure as code, CI/CD flows, environment setup, and paved paths that reduce developer friction. Strengthen observability with better logs, metrics, traces, dashboards, and alerts. Improve reliability through better operational standards, incident handling, post-incident follow-through, and practical SLO thinking. Work across application and infrastructure boundaries when that is what the problem requires. Reduce recurring toil through automation, documentation, and better defaults. Make sound trade-offs around cost, security, performance, and speed. Use AI tools aggressively and well to increase your own leverage and improve engineering workflows. What Strong Performance Looks Like The Voice AI team can ship faster and with fewer avoidable operational issues because of your work. The systems you touch become easier to understand, easier to operate, and easier to trust. You do not need heavy management to create momentum; you find important gaps and close them. You handle real production problems without drama and improve the system after the immediate issue is over. What We Are Looking For Strong senior-level experience in platform engineering, DevOps, SRE, infrastructure engineering, or a similar hands-on role. Strong cloud and infrastructure fundamentals in AWS, Azure, or a comparable environment. Real experience with infrastructure as code and modern delivery pipelines. Strong operational judgment around reliability, observability, incident response, and production systems. Comfort moving across layers: infrastructure, backend services, developer workflows, and operational tooling. Clear communication and strong written habits, especially around runbooks, postmortems, and technical decision making. AI-native working style. You already use AI tools in daily engineering work and think in terms of leverage, automation, and better workflows. Strong Plus Real hands-on experience deploying or operating STT, TTS, STS, or similar voice-model workloads. Experience improving developer experience for product teams, not just operating infrastructure in isolation. Experience with security, access control, compliance-minded infrastructure, and pragmatic operational guardrails. Ability to debug problems that cut across application code, infrastructure, and third-party systems. How We Evaluate Fit We care more about independent ownership, systems judgment, and practical operating ability than about a perfect keyword match to every tool we use. If you are the kind of engineer who can step into a messy production environment and make it calmer, faster, and more reliable, we want to talk. What Shelf Offers B2B contract Company Stock Options Hardware: MacBook Pro Modern technical stack . Develop open-source software Premier AI development environment: GitHub Copilot, Claude Code, OpenAI, TypingMind, v0, MCP Servers, plus credits to experiment with emerging AI tools Why Shelf: GenAI will be at least a $4 Trillion market by 2032 and Shelf is a core infrastructure that enables GenAI to be deployed at scale Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan We've been helping our customers prevent knowledge mismanagement since our founding in 2017 We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months

🏢 Summary: Founding Engineer role focused on building and deploying real-time speech-to-text systems for military and emergency units operating in constrained environments. You will work closely with founders to design and implement low-latency Voice AI solutions in Python, owning projects end-to-end in high-stakes, resource-limited conditions. The position offers significant ownership, equity, and the opportunity to deliver production systems used directly in the field. 🗂️ Requirements: Experience implementing Voice AI systems in compute-, connectivity-, or latency-constrained environments, Experience with audio processing and real-time, low-latency systems, Strong Python programming skills, Ability to build and ship production systems end-to-end, Ability to work with incomplete requirements and short timelines 📃 Skills: Python, VoiceAI, Speech-to-text, Audio, Real-time, Low-latency, AI, MachineLearning 🏢 Description: ABOUT THE COMPANY We're a European defence software startup operating between Paris and Warsaw. Our mission is to build modern software for hostile environments — our customers are European military and police units, including units across France, Germany, Ukraine, and Poland. We do not work on weapons systems or hardware products. We're currently in stealth but have been recognised as one of France's top 20 seed-stage companies. We're backed by Europe's leading defence VC and strategic partners who include founders of well-known technology companies and defence specialists. Our founding team brings together deep software engineering experience, defence-sector research backgrounds, and operational special forces experience. ABOUT THE ROLE This is a founding-team engineering role. You'll work directly with the founders to evolve our early stack and help service our first customers — military and emergency services units operating in demanding, resource-constrained environments. Your initial focus will be on bespoke real-time speech-to-text systems, primarily in Python. The work is highly applied — you'll be building things that get used in the field quickly, under conditions that don't forgive poor engineering. Expect to move fast, make real decisions, and own what you build end-to-end. WHAT WE LOOK FOR Voice AI in constrained environments Experience implementing Voice AI systems where compute, connectivity, or latency constraints are real operational factors — not just benchmarks. Audio processing and low-latency systems Comfortable working with audio pipelines and real-time systems. You understand the tradeoffs and can navigate them under pressure. Strong execution and product mindset Pragmatic, delivery-focused, and able to build from zero. You don't wait for a perfect spec — you figure it out and ship. High tolerance for ambiguity You thrive when requirements are incomplete and timelines are short. Early-stage environments feel like an opportunity, not a risk. Purpose-driven You want your work to have real-world impact — helping those who operate in high-stakes environments do their jobs more effectively. THE TEAM Small and deliberately assembled. The founding team brings together engineers with deep experience at a leading technology company, a former special forces commander with operational field experience, defence-sector PhDs, and ex-founders. It's a team built for this specific problem — technically rigorous, operationally credible, and moving fast. COMPENSATION & BENEFITS Salary €60,000 – €110,000 depending on experience. Equity Meaningful equity as a founding team member. Relocation Sponsorship available for candidates relocating.

🏢 Summary: Founding engineer role focused on building and deploying bespoke real-time speech-to-text systems for military and emergency units operating in constrained, high-stakes environments. The position involves evolving the early technical stack and delivering low-latency Voice AI solutions in Python that are used directly in the field. You will own end-to-end development in a fast-moving, early-stage setting with real operational impact. 🗂️ Requirements: Experience implementing Voice AI systems in compute- or latency-constrained environments, Strong experience with real-time audio processing systems, Proficiency in Python for production systems, Experience building low-latency systems, Ability to design and ship systems end-to-end, Ability to work with incomplete requirements and short timelines 📃 Skills: Python, VoiceAI, SpeechToText, AudioProcessing, RealTimeSystems, LowLatency, MachineLearning, SignalProcessing 🏢 Description: ABOUT THE COMPANY We're a European defence software startup operating between Paris and Warsaw. Our mission is to build modern software for hostile environments — our customers are European military and police units, including units across France, Germany, Ukraine, and Poland. We do not work on weapons systems or hardware products. We're currently in stealth but have been recognised as one of France's top 20 seed-stage companies. We're backed by Europe's leading defence VC and strategic partners who include founders of well-known technology companies and defence specialists. Our founding team brings together deep software engineering experience, defence-sector research backgrounds, and operational special forces experience. ABOUT THE ROLE This is a founding-team engineering role. You'll work directly with the founders to evolve our early stack and help service our first customers — military and emergency services units operating in demanding, resource-constrained environments. Your initial focus will be on bespoke real-time speech-to-text systems, primarily in Python. The work is highly applied — you'll be building things that get used in the field quickly, under conditions that don't forgive poor engineering. Expect to move fast, make real decisions, and own what you build end-to-end. WHAT WE LOOK FOR Voice AI in constrained environments Experience implementing Voice AI systems where compute, connectivity, or latency constraints are real operational factors — not just benchmarks. Audio processing and low-latency systems Comfortable working with audio pipelines and real-time systems. You understand the tradeoffs and can navigate them under pressure. Strong execution and product mindset Pragmatic, delivery-focused, and able to build from zero. You don't wait for a perfect spec — you figure it out and ship. High tolerance for ambiguity You thrive when requirements are incomplete and timelines are short. Early-stage environments feel like an opportunity, not a risk. Purpose-driven You want your work to have real-world impact — helping those who operate in high-stakes environments do their jobs more effectively. THE TEAM Small and deliberately assembled. The founding team brings together engineers with deep experience at a leading technology company, a former special forces commander with operational field experience, defence-sector PhDs, and ex-founders. It's a team built for this specific problem — technically rigorous, operationally credible, and moving fast. COMPENSATION & BENEFITS Salary €60,000 – €110,000 depending on experience. Equity Meaningful equity as a founding team member. Relocation Sponsorship available for candidates relocating.

🏢 Summary: Own and lead the development of a production-grade Voice AI inference stack, building and operating real-time, large-scale model serving systems for speech and voice agent workloads. The role covers end-to-end ownership from architecture and system design to deployment and long-term production operations. You will collaborate cross-functionally to deliver high-performance Voice AI infrastructure with strict latency requirements. 🗂️ Requirements: Bachelor's degree in Computer Science or related field, Experience owning production-grade real-time large-scale systems, Experience with low-latency systems where p99 latency matters, Strong programming skills in at least one language, Ability to design and operate high-performance model serving systems, Experience with cross-team technical collaboration, Comfortable using AI coding assistants daily 📃 Skills: Python, Docker, Kubernetes, STT, TTS, vLLM, TensorRT, ONNX, PyTorch, Whisper 🏢 Description: ABOUT BASETENBaseten 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 $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to 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". 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:The world's fastest Whisper — with streaming and diarizationCanopy Labs selects Baseten for Orpheus TTS inferenceCollaborate with the Core Product team on the orchestration framework to build a multi-model voice agentCollaborate with the Training Platform team to enable continuous training of voice modelsDesign an ergonomic, developer-friendly API and SDK that enables self-serve adoption of Baseten Voice AI products.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 with clear SLOs for mission-critical customer deployments.Drive cross-team collaboration with sister engineering teams to solve full-stack technical problems, aligning on priorities, and coordinating 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 fieldProven 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 toolsInterest in ML/AI infrastructure and willingness to learnStrong collaboration and communication skillsComfortable 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 issuesExposure to customer-facing engineering: pre-sales prototyping, technical discovery, or working directly with customers to ship solutions.BENEFITSCompetitive compensation, including meaningful equity.100% coverage of medical, dental, and vision insurance for employee and dependentsFlexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)Paid parental leaveFertility and family-building stipend through CarrotCompany-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).Compensation Range: $165K - $330K

🏢 Summary: Senior Staff Software Engineer role focused on technical leadership and architecture for a large-scale SaaS marketing automation platform undergoing an AI-first transformation. The position involves driving AI-powered solutions, shaping cloud-native architecture on AWS, and solving complex scalability and performance challenges across distributed systems. The role operates across multiple teams, influencing technical strategy and mentoring senior engineers. 🗂️ Requirements: 8+ years of software engineering experience, Experience designing and delivering large-scale SaaS applications, Experience with complex distributed systems, Strong backend expertise in Python and/or PHP, Strong system design and architecture experience, Hands-on experience with AI-powered products or LLM integrations, Experience with AWS cloud environments, Experience with CI/CD pipelines and observability tools, Knowledge of MySQL, Redis, or DynamoDB, Ability to drive architectural decisions across teams 📃 Skills: Python, PHP, AWS, React, Ember, MySQL, Redis, DynamoDB, CI/CD, LLM, AI, Observability 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Staff Software Engineer to join our client's growing engineering organization and help shape the future of a large-scale SaaS platform undergoing a major AI-first transformation. This is a highly impactful role focused on technical leadership, architecture, and cross-team collaboration. As a Staff Engineer, you’ll work across multiple engineering teams, helping solve complex technical challenges, drive architectural decisions, and accelerate the adoption of AI-powered solutions and agentic workflows across the platform. Rather than being tied to a single product area, you’ll operate at a broader organizational level, partnering closely with Engineering, Product, Design, and AI teams to improve scalability, performance, and engineering excellence. You’ll also play a key role in mentoring senior and lead engineers, helping raise the technical bar across the organization. This role is ideal for someone who enjoys tackling complex system-level challenges, influencing technical strategy, and driving impact through architecture, mentorship, and technical leadership rather than people management. Key takeaways: Stack: Python/PHP, AWS, React/Ember, MySQL, Redis, DynamoDB, CI/CD pipelines, observability tooling, and AI/LLM-powered services. Salary : 31 000 - 37 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Technical architecture session (1,5h) Panel (including cross-functional, AI-focused, High Grader | 1,5h) Responsibilities: Provide technical leadership and architectural guidance across multiple engineering teams within the Kraków Hub. Drive the design and development of AI-powered solutions, including agentic workflows, LLM integrations, and intelligent platform capabilities. Solve complex platform, scalability, and performance challenges across backend systems built with Python and PHP, while maintaining awareness of frontend technologies such as React and Ember. Partner closely with Engineering, Product, Design, and AI teams to deliver high-impact solutions. Contribute to the evolution of cloud-native architecture, engineering standards, and best practices across AWS-based environments. Mentor senior and lead engineers, fostering engineering excellence and best practices. Act as a trusted technical advisor, helping teams make sound architectural decisions while balancing business goals with long-term platform health. Requirements: 8+ years of software engineering experience , including designing and delivering large-scale SaaS applications and complex distributed systems. Strong backend expertise with Python and/or PHP in production systems. Solid system design and architecture background, with the ability to drive technical decisions, solve complex platform-wide challenges, and balance short-term delivery with long-term scalability. Hands-on experience with AI-powered products, LLM integrations, agentic workflows, or machine learning solutions. Proven ability to influence technical direction across teams and drive architectural decisions. Experience with AWS, CI/CD, observability, and modern engineering practices. Knowledge of databases such as MySQL, Redis, DynamoDB, or similar technologies. Experience with React or Ember is considered a plus. Background in marketing automation, CRM, or e-commerce platforms. Familiarity with modern AI engineering practices, AI development tooling, and emerging standards such as MCP is a plus. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Staff Software Engineer role focused on technical leadership and architecture for a large-scale SaaS marketing automation platform undergoing an AI-first transformation. The position drives cross-team architectural decisions, scalability improvements, and adoption of AI-powered and LLM-based solutions. It emphasizes system-level impact, mentorship of senior engineers, and cloud-native platform evolution. 🗂️ Requirements: 8+ years software engineering experience, Experience designing large-scale SaaS applications, Experience with distributed systems, Strong backend expertise in Python or PHP, Solid system design and architecture experience, Hands-on experience with AI-powered products or LLM integrations, Experience with AWS environments, Experience with CI/CD pipelines, Experience with observability tools, Knowledge of MySQL, Redis, or DynamoDB, Ability to drive architectural decisions across teams 📃 Skills: Python, PHP, AWS, React, Ember, MySQL, Redis, DynamoDB, CI/CD, LLM, AI, Observability 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Staff Software Engineer to join our client's growing engineering organization and help shape the future of a large-scale SaaS platform undergoing a major AI-first transformation. This is a highly impactful role focused on technical leadership, architecture, and cross-team collaboration. As a Staff Engineer, you’ll work across multiple engineering teams, helping solve complex technical challenges, drive architectural decisions, and accelerate the adoption of AI-powered solutions and agentic workflows across the platform. Rather than being tied to a single product area, you’ll operate at a broader organizational level, partnering closely with Engineering, Product, Design, and AI teams to improve scalability, performance, and engineering excellence. You’ll also play a key role in mentoring senior and lead engineers, helping raise the technical bar across the organization. This role is ideal for someone who enjoys tackling complex system-level challenges, influencing technical strategy, and driving impact through architecture, mentorship, and technical leadership rather than people management. Key takeaways: Stack: Python/PHP, AWS, React/Ember, MySQL, Redis, DynamoDB, CI/CD pipelines, observability tooling, and AI/LLM-powered services. Salary : 31 000 - 37 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Technical architecture session (1,5h) Panel (including cross-functional, AI-focused, High Grader | 1,5h) Responsibilities: Provide technical leadership and architectural guidance across multiple engineering teams within the Kraków Hub. Drive the design and development of AI-powered solutions, including agentic workflows, LLM integrations, and intelligent platform capabilities. Solve complex platform, scalability, and performance challenges across backend systems built with Python and PHP, while maintaining awareness of frontend technologies such as React and Ember. Partner closely with Engineering, Product, Design, and AI teams to deliver high-impact solutions. Contribute to the evolution of cloud-native architecture, engineering standards, and best practices across AWS-based environments. Mentor senior and lead engineers, fostering engineering excellence and best practices. Act as a trusted technical advisor, helping teams make sound architectural decisions while balancing business goals with long-term platform health. Requirements: 8+ years of software engineering experience , including designing and delivering large-scale SaaS applications and complex distributed systems. Strong backend expertise with Python and/or PHP in production systems. Solid system design and architecture background, with the ability to drive technical decisions, solve complex platform-wide challenges, and balance short-term delivery with long-term scalability. Hands-on experience with AI-powered products, LLM integrations, agentic workflows, or machine learning solutions. Proven ability to influence technical direction across teams and drive architectural decisions. Experience with AWS, CI/CD, observability, and modern engineering practices. Knowledge of databases such as MySQL, Redis, DynamoDB, or similar technologies. Experience with React or Ember is considered a plus. Background in marketing automation, CRM, or e-commerce platforms. Familiarity with modern AI engineering practices, AI development tooling, and emerging standards such as MCP is a plus. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.