Suki

What we want to accomplish and why we need you Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us! We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things. About the role We're growing our Engineering Operations function and looking for a Technical Program Manager to embed directly in an engineering pod and make execution predictable, measurable, and fast. You'll own your pod's day-to-day execution, give leadership an accurate picture of where things stand, and help scale the operating model that makes execution repeatable across the engineering organization. A hands-on role for someone who likes both running the machine and improving how it runs. What you'll do - Own execution for your pod: run sprint planning, stand-ups, reviews, and retrospectives, partnering closely with Product and Engineering leads. - Keep the pod's work tracked and trustworthy, so status rolls up accurately from task to program level. - Produce clear, regular status reporting for pod leads and senior leadership, surfacing risks early. - Own the metrics that matter: delivery predictability, sprint coverage, spillover, backlog health, and cycle time. - Drive spec-driven development — ensure work is well-specified before build, and measure and improve time from signed-off spec to shipped code. - Champion process, tooling, and AI-assisted productivity improvements, feeding durable wins back into the broader operating model. What you'll gain - Applied clinical AI fluency — work at the center of an ACI platform spanning ASR, NLP, LLMs, and deep EHR integration, and learn how a real production AI system ships. - Systems-level judgment — build a rare, end-to-end mental model of how complex software gets built, from spec to production, across Product, Engineering, ML, and QA. - Data and metrics craft — own the instrumentation and dashboards leadership runs on. - Process architecture — help design the operating model that scales across the org, not just run an existing playbook. - Executive-grade influence — regular exposure to senior leadership and the reps to turn ambiguity into decision-ready narratives. What we're looking for - 3–5 years as a Technical Program Manager driving delivery for software engineering teams. - Technical fluency to navigate the work : - Reads and reasons about system architecture — services, APIs, and how frontend, backend, and ML components fit together. - Understands the full software development lifecycle: specs, code review, CI/CD, testing/QA, release, and monitoring. - Grounded enough in ML/AI systems to follow conversations about models, data pipelines, evaluation, and what separates a demo from production. - Reads a design doc or PRD, asks sharp questions, and spots gaps, assumptions, and risks. - Data and metrics craft: fluent with issue-tracking tools (e.g. Jira), keeps a clean backlog as a single source of truth, and drives improvement with data. - Excellent written communication: turns messy execution reality into crisp updates for engineers and executives alike, and builds trust fast with Product, Engineering, and Design. - Sound judgment and autonomy: thrives in a fast-moving environment, escalates through the right channels, and knows when to standardize versus adapt. Tell me more about Suki - On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI . - Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems. - Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale. - Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it. - Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties. Check out what one of our users says about how Suki has helped his practice. - Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better. Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.

Senior Forward Deployed Engineer Redwood City, CA Clinicians using Suki spend over 70% less time on administrative work, and our customers see a 9X return in their first year. Suki Assistant, our flagship product, uses AI to write clinical documentation in real time and cuts the time it takes to finish a note by 72%. We are now opening that same technology to the rest of healthcare through Suki Platform, the AI infrastructure that powers voice-enabled experiences across telehealth platforms, care delivery tools, and specialty EMRs. We are hiring a Senior Forward Deployed Engineer to put that platform into production with our customers. What this role really is Healthcare systems are messy. The distance between a customer's idea and a working integration is large, and most of it is unglamorous: APIs that behave differently in production than they do on paper, clinical workflows that resist standardization, and edge cases that decide whether a clinician trusts the product or turns it off. The Solutions team lives in that distance. You will work more closely with Platform customers than anyone else at Suki, connecting their systems and applications to the Suki Platform APIs and SDKs and shaping how dictation, ambient, text generation, and summarization gets deployed. Ambient AI sits at the most context-rich moment in care, the conversation between a clinician and a patient. It is also the easiest to lose. Getting it right is what turns that exchange into better diagnoses, cleaner follow-ups, and revenue that would otherwise slip away. A typical week looks like - Customer scoping. Sit with a customer's engineers, product owners, and clinical champions to understand what they want to build and what success measures. - Integration work. Connect customer systems to the Suki Platform APIs and SDKs, and work through the security, data, and edge-case problems that come with them. - Solution design. Decide how dictation, ambient, text generation, and summarization should combine to meet a real user need, then estimate the complexity and timeline and commit to it. - Deployment. Stand up distributed applications across both on-premises and cloud-hosted environments and see them through to production. - Translation. Explain technical decisions and trade-offs to non-technical and executive audiences on the customer side and carry their feedback back to our engineers and data scientists. You own the loop from “a customer needs this” to “it is running in production.” What we are looking for - 5+ years in technical consulting, application development, or solutions engineering. - High proficiency in one of Python, Golang, or Java, plus working proficiency with TypeScript, JavaScript, and React. - Familiarity with OpenAPI 3.0 and a basic grasp of API security. - A track record of estimating project complexity and timelines and delivering within them. - Experience deploying distributed applications in both on-premises and cloud-hosted datacenters. - Comfort partnering with cross-functional stakeholders on the customer side and translating technical concepts for non-technical and executive audiences. - A solid grasp of CS fundamentals, including abstractions, algorithms, probability, data structures, and system design, is preferred. - Genuine curiosity about where AI, LLMs, NLP, and agentic architectures are heading, and a habit of keeping up with them. We do not expect one person to have done all of this. If you have done most of it and can make a credible case that you are ready to pick up the rest, we want to hear from you. What makes someone a strong fit - You have built real applications on top of APIs, and you know the gotchas to watch for because you have hit them before. - You like to ship, iterate quickly, and see how users react. - You listen to feedback, stay resourceful, and already use AI in how you work. - You use data to decide where to go next, and you keep the business impact in view. - You work in a team without ego, and you communicate clearly with engineers and customers alike, including onsite with their technology and IT teams. Our stack GCP, Kubernetes, Vertex AI, Golang, Python, C++, PyTorch, JAX, Transformers, GPT, Llama, MoE, gRPC, and JavaScript. Why Suki - The mission is real. We are making healthcare technology quieter and more useful, so clinicians can focus on patients instead of paperwork. - The product works. Real clinicians at real health systems use Suki every day, and it holds up. - The team knows the space. We are former Googlers, Apple engineers, Stanford physicians, and healthcare veterans. - The market is large. We are going after a $30B+ industry, and the momentum is behind us. - The backing is strong. We have raised $165M from investors including Venrock, First Round, Flare, and March Capital. - The recognition is there. Fast Company named us one of the most innovative companies, Google named us Partner of the Year for AI/ML, Forbes placed us on its top 50 in AI, Frost & Sullivan gave us a Technology Innovation Award, and Comparably recognized our leadership team. More than a job You will join people who care about the work and about how it gets done. We show up with empathy, we iterate, and we put clinicians first. Suki is an Equal Opportunity Employer. We are committed to building a team that reflects the communities we serve, and to a culture of inclusion, belonging, and ambition. The details In compliance with the State of California Pay Transparency Law, the base salary range for this role is $190,000 to $220,000 in California. This range does not include a discretionary bonus or equity package. When we determine a candidate's compensation, we consider a number of factors, including skillset, experience, job scope, and current market data.

What we want to accomplish and why we need you Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us! We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things. What will you do every day? Mobile (Primary Focus): - Own and evolve the end-to-end mobile test strategy for iOS and Android, ensuring coverage for mobile-specific concerns: offline and poor-network scenarios, background/foreground transitions, audio streaming and capture, permissions, gestures, and device fragmentation. - Architect and maintain mobile automation frameworks using Appium (or equivalent), with an emphasis on maintainability, execution speed, and stability on real-device and cloud-device grids. - Drive mobile performance, battery, memory, and stress testing across a representative device matrix, and set the quality bar for release readiness. - Investigate complex, cross-platform mobile issues — including native/hybrid layer, network, and audio pipeline problems — and drive them to root cause. Web and Backend (Secondary Focus): - Extend automation coverage to Suki's web surfaces so a single test strategy spans mobile, web, and service layers rather than three disconnected suites. - Design and implement API and service-level automation across REST, gRPC, and GraphQL, including bidirectional streaming and protocol buffers. - Build tests for event-driven and asynchronous flows (Kafka or similar) and for the microservices that the mobile client depends on. - Contribute to backend performance and load testing (K6, Locust, or similar) so that client-side quality claims hold under production-like load. Craft, Leadership, and AI: - Integrate mobile, web, and backend suites into CI/CD pipelines so that signal is fast, trustworthy, and actionable, with meaningful reporting and flake management. - Drive the design and code review process for test automation, and prioritise maintenance and tech debt in the frameworks you own. - Break complex test engineering work into components that early-career engineers can own, then mentor them through it. A significant share of our team is early in their careers, and your coaching is a core part of the job. - Keep strong documentation of how test design and architecture evolve over time. - Participate actively in SDET hiring, and in prioritising cross-team automation initiatives. - Lead initiatives that apply LLMs and agentic AI to the testing lifecycle — test generation, triage, self-healing locators, and coverage analysis — and help the team assess which tools actually move productivity. Requirement : - 7+ years as an SDET or equivalent, with a substantial portion focused on mobile test automation and QA process ownership. - Deep expertise in mobile automation: Appium or equivalent, real-device and cloud-device execution, and mobile debugging tools (Xcode Instruments, Android Studio profilers, Charles Proxy, Firebase). - Working knowledge of Swift, Kotlin, and Java in an automation context. - Demonstrated full-stack testing ability: you have written and owned web UI automation (Playwright, Selenium, or similar) and service-level automation against REST, gRPC, or GraphQL APIs. - Proficiency in at least one object-oriented language (Java preferred) and comfort with Python for scripting and data validation. - Solid understanding of microservices, cloud platforms (GCP preferred), containers, and CI/CD systems such as Buildkite or Jenkins. - A track record of mentoring engineers and leading automation projects to completion. - Strong analytical and communication skills, and the self-direction to operate in a fast-moving environment. - BA/BS in Computer Science, Information Science, AI/ML, or a related engineering field; MS/PhD a plus. Good to Have: - Exposure to AI/ML quality engineering. Any hands-on experience validating AI/ML models, pipelines, or data-driven systems is a strong plus — for example, evaluating ASR or NLP output, measuring Word Error Rate, intent classification accuracy, or hallucination rates, or reasoning about precision, recall, and model drift. This is a growth area for the role, not an entry requirement; we will invest in ramping the right mobile-strong candidate. - Experience building evaluation harnesses or "model-to-model" validation for production ML systems. - Experience with agentic AI tooling (MCP servers, RAG-based tools, autonomous test agents) applied to the SDLC. - Accessibility and localisation testing on mobile. - Prior start-up experience. *We don’t necessarily expect to find a candidate that has done everything listed, but you should be able to make a credible case that you’ve done most of it and are ready for the challenge of adding new skills to your resume. Tell me more about Suki - On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI . - Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems. - Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale. - Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it. - Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties. Check out what one of our users says about how Suki has helped his practice. - Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better. Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.

What we want to accomplish and why we need you Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us! We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things. Are you a security engineer looking to make a real impact? As a Senior Cloud & AI Security Engineer , you are charged with protecting Suki’s cloud infrastructure, data pipelines, high-throughput network boundaries, and cutting-edge AI platform and product capabilities by continuing to mature Suki’s security posture. In a high-growth healthcare SaaS environment handling sensitive Protected Health Information (PHI), security is both a core technical requirement and a business driver. You will bridge the gap between traditional cloud/network security and emerging AI risk management, partnering closely with Software Engineers and Machine Learning Engineers to embed security in the development lifecycle, ensuring our applications and machine learning models are secure by design. In this role, you will champion a collaborative security culture, utilizing modern cloud security platforms to monitor risks, safeguard patient health information (PHI), and maintain continuous regulatory compliance. Here's a sneak peek of what you'll be doing: - Leadership: Manage large security projects, proactively enhance system defenses, and ensure compliance with regulations. Act as a trusted advisor by partnering with cross-departmental leaders to reduce friction, increase speed-to-market and deliver secure-by-design products and support. - Collaboration: Integrate security guardrails natively into processes, CI/CD pipelines, APIs, and workflows to block issues; then, partner with those teams to interpret, prioritize, and determine the best option for remediating any identified issues. - Cloud Posture & Architecture: Help manage the technical security architecture across our multi-cloud footprint (AWS / GCP / Azure), ensuring zero-trust principles and robust Cloud Security Posture Management (CSPM). - Container & IaC Security: Secure Kubernetes clusters, container registries, and Infrastructure-as-Code (Terraform / CloudFormation) within CI/CD deployment pipelines. - Automation & Development: Develop robust and secure code for security tooling, automation, and critical integrations to improve our security posture. Drive adoption and integration of Suki’s paved path security solutions across all business units. - AI/ML Security & Risk Assessment: Conduct security assessments and red-teaming on proprietary and third-party AI/ML models, LLMs, and data pipelines (testing for prompt injection, data poisoning, training data extraction, and model inversion). - PHI & Data Privacy Governance: Implement guardrails to prevent PHI exposure in model training, vector databases, RAG architectures, and fine-tuning datasets. - Zero Trust & Network Segmentation: Design and enforce micro-segmentation, VPC architecture, SASE/VPN solutions, and strict network isolation for multi-tenant health data architectures. - Egress/Ingress Monitoring: Manage network security controls, intrusion detection/prevention systems (IDS/IPS), and Web Application Firewalls (WAF) to prevent unauthorized data exfiltration. Ensure appropriate logging and alerting are active and monitored. - Network Security Mastery: Proven track record in cloud network design, VPC routing, cloud firewalls, Zero Trust Network Access (ZTNA), and egress control. What we're looking for: - 8+ years in Information Security, with 1+ years evaluating and remediating AI risk - Hands-on experience securing AWS, GCP, or Azure environments using automated tools and native security services. - Strong coding skills for developing secure tooling, automation, including leveraging agentic AI. - Expertise with secure coding practices, API security, and managing to OWASP Top 10 vulnerabilities and familiarity with OWASP Top 10 for LLMs and Agentic AI. - Deep understanding of healthcare compliance standards and security protocols, including HIPAA / HITECH, HITRUST CSF, and NIST including a foundational understanding of NIST AI RMF in a cloud environment (GCP preferred). - Demonstrated leadership ability with experience managing security projects and mentoring junior team members. - Excellent communication and collaboration skills to lead technical discussions. Tell me more about Suki - On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI . - Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems. - Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale. - Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it. - Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties. Check out what one of our users says about how Suki has helped his practice. - Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better. Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.

The Future of Healthcare Needs You At Suki, we’re building technology that listens, understands, and gets out of the way — so clinicians can get back to being clinicians. Our flagship product, Suki Assistant , uses cutting-edge AI to automate clinical documentation in real time, reducing the time it takes to complete notes by 72%. But that’s just the beginning. We’re now powering the next wave of voice-enabled healthcare experiences across telehealth platforms, care delivery tools, and specialty EMRs — through Suki Platform , our proprietary AI infrastructure. Clinicians using Suki spend over 70% less time on admin. Our customers see a 9X ROI in year one. And we’re just getting started. Suki is reimagining the healthcare technology stack to make the lives of clinicians better. Our tech stack includes GCP, Kubernetes, Vertex AI, Golang, Python, C++, PyTorch, JAX, Transformers, GPT, LLAMA, MoE, gRPC, Javascript. What will you do everyday? The Machine Learning team forms the core of Suki's product, driving innovation and predictive excellence. You'll leverage your NLP expertise to enhance our computational infrastructure and improve our technical approaches and algorithms. Working directly on the platform powering our domain services, you'll collaborate with cross-functional teams to address NLP challenges and scale our platform for thousands of doctors. You'll manage and curate large datasets, ensuring data quality and relevance for training and evaluation. You'll monitor and analyze system performance metrics, identifying areas for optimization and implementing necessary improvements. By staying updated on NLP and Generative AI advancements, you'll incorporate innovations to maintain our competitive edge, reducing doctors’ administrative burdens and significantly impacting their daily lives. Requirements:* - 7+ years in overall software experience, with at least 2+ years focused on shipping AI or machine learning systems to production - Demonstrated end-to-end ownership of delivering at least one AI system to enterprise production, spanning the full workflow from problem framing, data pipelines, and model or agent development, through system integration, deployment, evaluation, monitoring, and continuous iteration - Strong working knowledge of LLMs, including prompting, orchestration, RAG, context and cost management - Hands-on experience designing and implementing evaluation frameworks for LLM-based systems, including automated evals, human feedback loops, regression testing, and benchmark design - Experience in building and maintaining distributed backend services for ML/AI applications - Strong grasp of CS fundamentals including abstractions, algorithms, probability, data structures and system design - Preferred - Agentic workflows, SDKs, tool calling; e.g. Google Agent SDK, Langgraph, Langfuse, Langsmith *We don’t necessarily expect to find a candidate that has done everything listed, but you should be able to make a credible case that you’ve done most of it and are ready for the challenge of adding new skills to your resume. Ok, you're sold, but what are we looking for in the perfect candidate? - Expertise: You know how to train models. You understand which models work best, and utilize a balance of LLMs and building custom models to get the optimized solution for accuracy, speed and cost. You watch out for recall, accuracy, and precision. In other words, you’ve done this before. - Action oriented: You love to build. You like to ship fast, quickly iterate, and see amazement in users’ eyes. - Creativity: You enjoy listening to user feedback and then building products in novel ways. You’re resourceful and enjoy finding alternate paths to success. - Problem solving: you use data to help point you in the correct direction. You optimize relentlessly, and understand the impact you’re making on the business. - Humility: You’re humble and love working in a team without ego to deliver products - Adaptability: You thrive in a fast-moving organization that uses light-weight processes and cutting-edge technology to have a huge impact. - Confidence: You trust your abilities and you’re ready to push yourself to the next level. - Communication: You are a clear communicator and demonstrated consensus-builder. What Makes Suki Unique - A mission that matters: Suki is making healthcare technology invisible and assistive—so clinicians can focus fully on patient care. - On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI . - An AI product that delivers: Our AI is used by real clinicians at real health systems — and it works. - A team that gets it: We’re former Googlers, Apple engineers, Stanford docs, and healthcare veterans. - Backed by believers: We’ve raised $165M from top VCs like Venrock, First Round, Flare, and March Capital. - On a roll: Named by Fast Company as the Next Big Thing in Tech. Best Leadership Team by Comparably . Technology Innovation Award by Frost & Sullivan. - Massive market: We’re disrupting a $30B+ industry, and our momentum is real. More Than Just a Job You’ll join a team of mission-driven builders who care deeply about what we do and how we do it. We believe in showing up with empathy, iterating constantly, and always putting clinicians first.Suki is an Equal Opportunity Employer. We’re committed to building a team that reflects the diverse communities we serve — and to creating a culture of inclusion, belonging, and bold ambition. The Details In compliance with the State of California Pay Transparency Law, the base salary range for this role is between $225 - $250k in CA. This range is not inclusive of any discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.