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ABOUT EVENTUAL Every breakthrough AI application, from foundation models to autonomous vehicles, relies on processing massive volumes of images, video, and complex data. But today’s data platforms (like Databricks and Snowflake) are built on top of tools made for spreadsheet-like analytics, not the petabytes of multimodal data that power AI. As a result, teams waste months on brittle infrastructure instead of conducting research and building their core product. Eventual was founded in 2022 to solve this. Our mission is to make querying any kind of data, images, video, audio, text, as intuitive as working with tables, and powerful enough to scale to production workloads. Our open-source engine, Daft http://daft.ai/, is purpose-built for real-world AI systems: coordinating with external APIs, managing GPU clusters, and handling failures that traditional engines can’t. Daft already powers critical workloads at companies like Amazon, Mobileye, Together AI, and CloudKitchens. We’ve assembled a world-class team from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and more, quadrupling our size within a year. With Series A and seed funding from Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, http://array.vcArray.vc http://Array.vc, and top angels from the co-founders of Databricks and Perplexity, we’re looking to double the team now. Join us—Eventual is just getting started. Please note we're looking for individuals who are excited to be a part of a tight-knit team working together 4 days / week in our SF Mission district office. YOUR ROLE: As a Software Engineer working on our Data Platform, you will be responsible for building Eventual's core products and architecture. You will ship features that will be immediately used by our customers and will work with a tight-knit team that values open communication and cross-functional collaboration. We move quickly to solve a wide range of complex technical and product challenges. While we are an experienced team that can provide constant guidance and mentorship, we value engineers who can autonomously scope and solve difficult technical challenges. KEY RESPONSIBILITIES: - Design and scale resilient backend services and distributed data systems. - Work closely with cross-functional product and customer-facing teams to understand requirements and ship thoughtful solutions. - Orchestrate compute workloads and container infrastructure across cloud environments (Kubernetes, Slurm). - Build high-performance data applications, query tools, and data visualization platforms. - Optimize cloud storage architectures and system pipelines for throughput, reliability, and cost-efficiency. WHAT WE LOOK FOR: We are looking for strong engineers who are problem-solvers at heart—combining excellent coding and architectural fundamentals in languages like Rust, C++, Python, or Go with a drive to reach for lower-level primitives when performance and efficiency demand it. We look for engineers with a technical spike in at least one of our specialized focus areas, though expertise across all of them is not required. Areas that are highly relevant to the work that we do at Eventual, we only ask for expertise in one of these areas: - ML/AI platform - Search/recommendations platform - Computer vision - Computer graphics - Data services (data catalogs, data lakehouses, query engines) - Large-scale batch/streaming jobs - Deep expertise in storage infrastructure (cloud object storage, pubsub, queuing etc) - Experience with GPU management and orchestration PERKS & BENEFITS - In-person tight knit team with 4x a week in office - Competitive comp and startup equity - Catered lunches and dinners for SF employees - Commuter benefit - Team building events & poker nights - Health, vision, and dental coverage - Flexible PTO - Latest Apple equipment - 401k plan with match!

Listed by Eventual for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

34 days ago

Commercial Solutions Engineer

Infisical · Austin, Texas, United States

Pay

$70k–180k

Setting

Remote

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Infisical is the open source security infrastructure platform that engineers use for secrets management, certificates, and privileged access management. We help developers and organizations securely manage billions of secrets every month including application configuration, database credentials, certificates, and more. We’ve raised $19M from Y Combinator, Google, and Elad Gil, and our customers include Hugging Face, Lucid, and LG. Join us on a mission to make security easier for all developers — starting with secrets management. We’re looking to hire exceptional talent to join us in building the open source security infrastructure stack for the AI era. About the role We’re looking for an exceptional Commercial Solutions Engineer to help grow Infisical’s customer base and ensure a seamless product experience from onboarding to long-term success. This is a high-impact, customer-facing role where you’ll work closely with our CEO, sales, and engineering teams. You'll play a critical role in helping organizations adopt Infisical by demonstrating technical value, driving successful implementations, and expanding product usage across accounts. You’ll be working directly with the CEO, engineering, and sales teams on: - Running proof-of-concept with leads, guiding customer through onboarding, or being able to recommend best practices for specific architectures and use cases. - Ensuring new customers are activated, happy, and have all of their questions answered; - Becoming a trusted technical advisor to customer and business leaders. - Working in tandem with account executives to lead demo & discovery calls. - Talking to customers daily to find points of friction and potential improvement in any workflows, understanding customer's needs and provide feedback towards product roadmap. - Understanding user journey and being able to guide UX/DX roadmap - Hosting webinars and knowledge sharing sessions for customer's stakeholders. - Improving documentation and public facing materials based on customer feedback. Overall, you’re going to be one of the defining pieces of our team as we scale to thousands of customers over the next 18 months. Requirements - Prior experience in development, systems engineering, or DevOps (open source contributions are a plus). - Strong written and verbal communication skills—able to clearly articulate technical concepts. - High energy, high ownership mindset, and a willingness to operate in ambiguity. - Currently based in San Francisco, CA or Austin, TX. Nice to have - Familiarity with secret management tools or developer security platforms. - Solid understanding of developer workflows and/or DevSecOps infrastructure. - Prior experience in a startup or fast-scaling environment. - Past involvement in developer communities or public speaking (webinars, talks, etc.). - Experience in a customer-facing technical role (e.g., Solutions Engineer, Sales Engineer, DevRel). - Experience supporting enterprise accounts and working with technical stakeholders. Team, values & benefits Our team brings experience from companies like Databricks, AWS, Red Hat, and more. We operate primarily as a remote team, but maintain a strong presence in San Francisco, where we have an office. We also get together in person throughout the year for off-sites, conferences, and team gatherings. At Infisical, we offer competitive compensation, including both salary and equity options. Additional benefits, such as a lunch stipend and a work setup budget, are available with more details to be found on our careers page https://infisical.com/careers.

Listed by Infisical for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

35 days ago

Senior MLOps Engineer

ŌURA · Remote - United States

Pay

$110k–200k

Setting

Remote

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Back to jobs Senior MLOps Engineer Remote - United States Apply Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. We are looking for a Senior MLOps Engineer to join our Data Engineering & Analytics team. In this role, your primary focus will be leading the design and evolution of the platforms, workflows, and governance practices that enable machine learning teams to develop, train, deploy, and operate ML systems reliably at scale. You will work across multiple data science teams and business domains, shaping a strong development environment, driving model lifecycle improvements, and helping set the standards that keep our ML systems scalable, maintainable, and well governed. The role sits within a broader shared cloud and data platform ecosystem, so you will also collaborate with adjacent platform teams and contribute to practical infrastructure, deployment, and access patterns that help DS teams move faster. This is a remote role in the US. What you will do: Primary Focus – MLOps Platform and ML Enablement Lead the development and improvement of the environment, platform capabilities, and operational foundations that support machine learning workflows across Oura. Drive the design and unification of workflows and tooling that support reliable training, orchestration, and deployment of ML systems. Partner with data scientists and engineers to improve the end-to-end ML lifecycle, from experimentation and training through deployment and governance, while making production ML systems easier to manage and maintain. Define and evolve model governance practices, including reproducibility, lineage, access controls, and operational standards. Support and help standardize ML tooling and workflows such as experiment tracking, model packaging, and promotion processes, with MLflow or similar tooling as a key part of the stack. Collaborate with teams across multiple business domains to onboard new use cases, prioritize platform improvements, and raise the maturity of shared ML capabilities. Identify and resolve reliability, scalability, and cost-efficiency issues in ML infrastructure running in the cloud. Drive standards, automation, infrastructure-as-code, CI/CD, and documentation that make ML development easier and more consistent across multiple DS teams. Cross-functional Growth Areas Improve infrastructure automation, CI/CD, and observability for ML workflows and supporting platform components. Contribute to workflow orchestration and platform integrations that support model training and batch inference at scale. Partner with data engineering and platform teams to align ML systems with broader data platform and governance practices. Help shape best practices for how teams build, ship, and maintain production ML systems across Oura. We would love to have you on our team if you have 5+ years of experience in MLOps, machine learning engineering, platform engineering, data engineering, or a closely related field. Hands-on experience running production workloads in AWS and a strong understanding of cloud infrastructure concepts. Strong understanding of the machine learning lifecycle, including training workflows, deployment patterns across ML systems, monitoring, and ongoing model maintenance. Familiarity with data science ways of working and the tooling that supports experimentation and model operations, such as MLflow. Familiarity with workflow orchestration, infrastructure-as-code, and CI/CD practices for ML or data platforms. Familiarity with secure access patterns, governance controls, and shared cloud or data platform services that support ML work at scale. Experience building or supporting production-grade ML workflows with a focus on reliability, reproducibility, and maintainability. Proven ability to drive standards and improvements across multiple teams and business domains. Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders. Comfort operating in a distributed team with a high degree of ownership and autonomy. What makes you stand out Experience supporting multiple data science teams through shared MLOps platforms or tooling. Prior experience with Databricks. Experience with governance and operational controls for ML systems at scale. Experience driving cross-team tooling or workflow standardization in ML or data platforms. Experience working in a high-growth environment with multiple stakeholders and evolving ML platform needs. Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. Region 1 $172,550 - $203,000 Region 2 $158,950 - $187,000 Region 3 $147,900 - $174,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes. Create a Job Alert Interested in building your career at Ōura? Get future opportunities sent straight to your email. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Preferred First Name Email* Phone Country* Phone* Location (City)* Locate me Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Legal First Name* Legal Last Name* Preferred First Name City* State* Select... Please share if you will need any accommodations during the interview process if your application is selected. Are you legally authorized to work in the United States of America? * Select... Do you now, or will you in the future, require Ouraring sponsorship for employment-based immigration status (e.g. H-1B or other status) in order to work for Ouraring?* Select... 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Listed by ŌURA for a position based in the United States. Employers on this board attest they are hiring domestically.

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