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Braintrust is the end-to-end developer platform for building world-class AI products.AI development is a relatively new paradigm combining code and datasets, incrementally refining both using frequent evaluations.Our product lets you evaluate LLM applications and iteratively improve them, with a ric

An accomplished storyteller with a strong technical background, this developer advocate will produce world class technical content to drive awareness of Writer research and technology and adoption of the Writer platform. Writer is seeking an experienced developer advocate focused on technical conten

Has 3+ years experience as a software engineer, with at least 1 year experience as an ML engineer. Word-of-mouth remains one of our most important channels today, and we're looking to hire the first few developer relations engineers who will be able to help scale this out.

Sentry is on a mission to help developers write better software faster, so we can get back to enjoying technology. Want to be the change you seek in the world of developer tooling.

Bazel, Gradle) or have built developer tooling, frameworks, or platform components that improve developer productivity. Our mission is to remove friction, improve iteration speed, and ensure a consistent, reliable developer experience across every stage of DoorDash’s software development lifecycle

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries. Working at Abbott According to the World Health Organization, approximately 422 million people have diabetes today and by 2045 the number is projected to rise to 700 million people. The Abbott Diabetes Care FreeStyle Libre continuous glucose monitor (CGM) sensor and customer experience delivers patient-centered solutions and empathetic experiences critical to helping people with diabetes understand how to manage their disease-state and live life to the fullest. At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: • Career development with an international company where you can grow the career you dream of., • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year., • An excellent retirement savings plan with a high employer contribution, • Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree., • A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. The Opportunity This is an onsite role located in 1420, Harbor Bay Parkway, Alameda, CA. This is not a remote role/opportunity. IT Business Relationship Manager - Complaint Process Automation plays a critical role in driving digital transformation and operational excellence within Abbott’s Post-Market Surveillance (PMS) and complaint handling functions. This role partners with cross-functional teams to design and implement scalable automation solutions that enhance traceability, streamline product return workflows, and ensure compliance with global regulatory standards. By aligning business needs with technical capabilities, this position helps deliver high-impact solutions that improve data integrity, reduce cycle times, and elevate the overall customer experience. Core Job Responsibilities Process Automation: • Establish scalable business process standards and governance frameworks, including a business process automation framework., • Analyze current workflows to identify automation opportunities that enhance accuracy and throughput., • Define automation integration touchpoints with enterprise application platforms systems to ensure seamless data flow and traceability., • Deliver high-quality, productivity-enhancing automation solutions that improve cycle times and reduce operational costs., • Implement data validation and monitoring processes to ensure data integrity across systems., • Leverage analytics to identify trends, improve operational efficiency, and support continuous improvement initiatives., • Implement robust data validation processes to support reliable decision-making., • Communicate effectively with all levels of the organization., • Ensure all automation processes comply with FDA, ISO 13485, and other relevant regulatory standards., • Maintain detailed documentation for audits and CAPA (Corrective and Preventive Action) processes., • Maintain robust cybersecurity, privacy, and security protocols., • Lead cross-functional project teams through the full automation project lifecycle—from planning to deployment., • Design business solutions that address process gaps and requirements., • Manage relationships, ensuring timely delivery, quality, and compliance of third-party automation solutions., • Bachelor’s degree in computer science, Engineering, or related field, • 10 years of experience as Program Manager, Project Manager, IT BRM working in automation, IT business alignment, or operations., • Exposure to cloud-based remote process automation deployments (RPA) like Automation Anywhere, UI Path etc., • Familiarity with continuous improvement methodologies (e.g., Lean, Six Sigma, Kaizen) to refine and optimize business processes for efficiency and quality., • RPA certifications (e.g., UiPath Certified Developer, Automation Anywhere Advanced RPA Professional) preferred, • Exposure to launching automation solutions in a Health Care or Med Device industry Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: ___ Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at ___, on Facebook at ___ and on Twitter @AbbottNews and @AbbottGlobal. The base pay for this position is $128,000.00 – $256,000.00. In specific locations, the pay range may vary from the range posted.

THE ROLE: This role is tasked with crafting, developing, and maintaining advanced Power BI solutions that transform sophisticated data into actionable insights. The Developer III, Power BI will work closely with business stakeholders to capture requirements, build robust data models, and deliver high-performance dashboards and reports. We are seeking an individual with extensive proficiency in DAX, Power Query, and SQL, along with a track record of incorporating data from cloud environments like Azure and Snowflake. This role also supports embedded analytics initiatives and ensures alignment with BI development and governance standards. HOW YOU WOULD CONTRIBUTE: Power BI Development & Data Modeling: • Design and develop interactive dashboards, reports, and KPIs using Power BI, • Build and optimize semantic models and table structures for performance and scalability, • Write advanced DAX expressions for complex business logic and performance tuning, • Develop and maintain Power Query (M) scripts for data transformation, • Implement Power BI Embedded solutions for web-based analytics delivery Data Integration & Backend Connectivity: • Integrate data from Snowflake, Azure SQL, and other cloud/on-prem sources, • Collaborate with data engineers to ensure efficient data pipelines and model refreshes, • Ensure data accuracy, consistency, and governance across all BI solutions Collaboration & Documentation: • Work with business teams to gather and translate requirements into technical solutions, • Document data models, logic, and dashboard functionality for maintainability, • Provide support and training to end-users and junior developers Deployment & Governance: • Follow CI/CD practices using tools like Git, Tabular Editor, and TMDL, • Ensure compliance with Power BI governance, security, and workspace management standards, • Monitor and optimize report performance and data refresh schedules, • Other duties as assigned WHAT’S SPECIAL ABOUT THE TEAM As a member of this team, this position will have the opportunity to focus on transforming complex data into actionable insights through advanced Power BI solutions. This position offers the opportunity to work closely with business stakeholders, leveraging deep expertise in DAX, Power Query, and SQL, along with integrating data from cloud platforms like Azure and Snowflake. Additionally, the role emphasizes adherence to best practices in BI development and governance, ensuring high-performance and scalable data models. SKILLS AND BACKGROUND REQUIRED TO BE SUCCESSFUL: • 6+ years of experience in Power BI development and business intelligence, • Expert-level proficiency in Power BI, DAX, Power Query, and M, • Strong SQL skills for querying and transforming data, • Experience with Snowflake and Azure Data Services (e.g., Azure Data Factory, Azure Synapse), • Familiarity with Power BI Embedded and web integration, • Understanding of data modeling best practices and performance tuning, • Knowledge of CI/CD tools and version control (Git, Tabular Editor, TMDL), • Strong analytical, problem-solving, and communication skills, • Expert-level proficiency in Power BI, DAX, Power Query, and M, • Proven experience in delivering enterprise-grade BI solutions with complex data models, • Experience working in agile, cross-functional teams and cloud-based environments Education: • Bachelor’s degree in Computer Science, Information Systems, or related field

Full-Time | Onsite in downtown San Francisco, Monday–Friday One of the most profitable and rapidly scaling health tech companies in San Francisco is hiring a Staff Frontend Engineer to join its core innovation team. This is a rare opportunity to help redefine how patients access care, medications, and pricing transparency - with a company that’s already profitable ($360M+), not VC-backed, and growing fast with long-term stability and massive upside. You’ll work in a disciplined, engineering-first environment and a team that values ownership, intensity, and big impact. This is not a “coast and collect” role - it’s for builders ready to ship fast, experiment boldly, and help shape the future of healthcare tech from the ground up. The RoleAs a Staff Frontend Engineer (Innovations), you’ll:Lead the design and development of new web and mobile products (React, React Native, TypeScript).Work closely with PMs, designers, and backend engineers to craft world-class user experiences.Rapidly test and iterate on new product ideas that will define the company’s next growth phase.Own architecture, mentor engineers, and elevate frontend standards company-wide.Operate in a true startup environment—fast, collaborative, and high-ownership. Who You Are3+ years of frontend experience with React, React Native, and exposure to Kotlin/Swift.Proven experience shipping scalable, high-performance web/mobile applications.Strong with modern tooling (TypeScript, CI/CD, state management).Thrive in fast-moving environments, value deep collaboration, and take pride in high-quality design.Motivated by impact - and excited to be part of a product that directly improves lives. Why JoinExtremely generous compensation of $250K–300K base + extensive equityComprehensive benefits: 401(k) match, medical/dental/vision, unlimited PTO, daily meals, espresso barAlready highly profitable - no VC constraints, disciplined long-term growthOnsite Monday-Friday (9am–7pm) in a downtown SF HQ designed for deep work collaboration to meet the company vision and goals Mission-driven impact: Your work directly improves healthcare access at scaleElite team: Collaborate with brilliant peers from top tech, trading, and engineering backgrounds If you’re a strong coder who is ready to join a rocket ship that’s transforming healthcare - and are energized by building, scaling, and owning at the highest level - I'd love to connect!

Job DescriptionSalary: $70k-$85k Role Overview We are seeking a highly versatile and proactiveApparel Merchandiserwho can contribute across the full spectrum of the apparel businessfrom design input and product development to merchandising strategy and planning. The ideal candidate is both creative and analytical, with the ability to translate consumer insights and market trends into commercially successful products. This role requires close collaboration with designers, planners, product developers, and suppliers to deliver collections that are on-trend, cost-effective, and aligned with brand strategy. Key Responsibilities: Design & Product Ideation • Collaborate with the head of product to develop seasonal concepts, mood boards, and product assortments., • Provide market intelligence on trends, colors, fabrics, and silhouettes., • Ensure designs balance creativity with commercial viability and customer needs and domestic manufacturing capabilities., • Work on sourcing new fabric for the brand and work closely with mill to negotiate cost, lead-time. MOQ etc Merchandising Strategy • Build seasonal range plans and product assortments aligned with business objectives., • Identify gaps and opportunities across categories to maximize sales and profitability., • Define product mix, pricing strategies, and margin targets., • Maintain merchandising tools Planning & Cross-Functional Collaboration • Work with planners to forecast demand and guide assortment planning., • Partner with product developers to ensure quality, fit, cost, and timelines are met., • Partner with product developer and give them coat target at style level Market & Business Insights • Analyze sales performance, consumer trends, and competitor activity.Use insights to influence design direction and business decisions., • Recommend in-season adjustments to optimize assortment performance. Process & Execution • Oversee merchandising presentations for internal and external stakeholders. Qualifications & Skills • Bachelors degree in Fashion Merchandising, Apparel Design, Business, or related field., • 56 years of experience in apparel merchandising .Plus would be if have some years of experience as product developer too, • Strong sense of fashion trends, consumer behavior, and market dynamics., • Excellent eye for product design, color, and fabric selection., • Strong analytical and numerical skills for forecasting and range planning., • Ability to balance creativity with business acumen., • Proficiency in MS Excel, PLM systems, and design tools (Adobe Illustrator/Photoshop preferred)., • Strong communication and negotiation skills for cross-functional and supplier collaboration., • Highly organized with the ability to manage multiple projects in a fast-paced environment., • Must work in SF office at least 3 days/week What We Offer • Opportunity to play a pivotal role in shaping the product line and brand identity., • Exposure to end-to-end apparel business operations (design, merchandising, planning, sourcing, and product development)., • Collaborative and creative work environment with room for growth.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: * Career development with an international company where you can grow the career you dream of. * Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. * An excellent retirement savings plan with a high employer contribution. * Tuition reimbursement, the ___ student debt program, and ___ education benefit - an affordable and convenient path to getting a bachelor’s degree. * A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. * A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists. THE OPPORTUNITY At Lingo, we’re building a groundbreaking health platform that combines continuous biosensor data, real-time analytics, and personalized insights to help people live fuller, longer, and healthier lives. Our systems ingest millions of sensor readings daily, powering experiences for consumers and partners worldwide, with the reliability and scalability of cloud-native, enterprise-grade platforms. We are seeking a Senior Manager Infrastructure & Delivery Operations to lead the evolution of our global platform infrastructure and delivery practices. This is a hands-on engineering leadership position focused on enabling faster, safer delivery through modern DevOps, scalable backend foundations, and cross-site collaboration. You’ll partner closely with our multidisciplinary engineering teams to build the standards, pipelines, and tooling that ensure our systems can scale globally, perform efficiently, and remain fully compliant. What You’ll Work On Backend (Application Layer) • Guide the design and evolution of distributed microservices, REST/GraphQL APIs, and event-driven systems that power our data and user experiences., • Ensure enterprise-grade code quality, secure coding practices, and scalable design patterns (DDD, reactive programming)., • Drive performance optimization, ensuring p95/p99 latency targets are consistently met., • Define and maintain standards for Infrastructure-as-Code, Kubernetes orchestration (multi-region, HA clusters), and service meshes., • Oversee CI/CD pipelines and deployment strategies (blue/green, canary), leveraging modern toolchains to accelerate delivery., • Ensure observability, monitoring, and logging frameworks deliver actionable insights, not just metrics., • Partner with Security and Compliance teams to maintain regulatory alignment (HIPAA, GDPR, ISO)., • Optimize for scalability, cost, and simplicity across multi-region deployments. Cross-Team Strategy and Delivery • Collaborate with Product, Data, and Security leaders to shape platform roadmaps and unblock execution., • Identify capability gaps, lead architecture reviews, and drive build-vs-buy and standardization decisions., • Champion developer experiences improvements through automation and shared tooling., • Support release cadence and global delivery readiness in partnership with Release Management and QA. Required Qualifications: • 10+ years combined experience in backend engineering (Java/Spring Boot) and cloud infrastructure/DevOps., • 4+ years in technical leadership or engineering management roles., • Proven success in implementing:, • Distributed microservices architectures, • Event-driven systems (Kafka, RabbitMQ or equivalent), • Database scaling strategies, • Multi-region cloud deployments with enterprise security requirements, • Knowledge of:, • CI/CD automation and deployment strategies, • Kubernetes and IaC (Terraform or equivalent), • Observability, monitoring, and performance tuning, • Strong track record of leading teams and delivering enterprise-grade systems at scale. Preferred Qualifications • Background in digital health, IoT, or other regulated industries (HIPAA, GDPR)., • Familiarity with distributed analytics platforms (Databricks, Spark)., • Experience defining SLAs/SLOs and leading capacity planning for high-throughput workloads., • Strong stakeholder communication skills; ability to present technical strategy to executives and cross-functional partners. Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: ___ Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at ___, on Facebook at ___, and on Twitter @AbbottNews. The base pay for this position is $146,700.00 – $293,300.00. In specific locations, the pay range may vary from the range posted.

Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our ___. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the ___, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our ___ and ___ blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. We’re looking for builders–intellectually curious, highly entrepreneurial engineers eager to shape the future of AI and ML at Whatnot. You’ll design and scale the feature ingestion and storage infrastructure that powers critical business logic & machine learning applications across the company. You’ll work side by side with machine learning scientists to make the most of near-real-time signals and unlock entirely new product experiences. * Own the feature ingestion and storage infrastructure powering both core business logic and ML models across critical business surfaces–supporting growth, recommendations, trust and safety, fraud, seller tooling, and more. * Push the boundaries of real-time decisioning, ensuring Whatnot’s ML models respond ever faster to constantly changing marketplace dynamics. * Design and evolve real-time feature pipelines that feed both our online and offline stores, ensuring sub-second latency, high reliability, and model training fidelity. * Optimize system performance by managing resource utilization and developing intelligent feature caching strategies. * Empower scientists to iterate faster by building abstractions, APIs, and developer tools that simplify the development of near-realtime features. * Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem. US Based: We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs. Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. As our next AI/ML Engineer you should have 4+ years of professional experience developing machine learning systems and algorithms, plus: * Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience. * 3+ years of software engineering experience building and maintaining production systems for consumer-scale loads. * 1+ years of professional experience developing software in Python * Ability to work autonomously and drive initiatives across multiple product areas and communicate findings with leadership and product teams. * Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis. * Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana. * Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink. * Professionalism around collaborating in a remote working environment and well tested, reproducible work. * Exceptional documentation and communication skills. For US-based applicants: $225,000 - $320,000/year + benefits + stock options The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. * Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

Together AI is looking for a Senior Data Engineer to help define, build, and operate the data infrastructure that handles millions of events every day to power Together’s mission-critical systems. As a Senior Data Engineer, you will work with our Data and Commerce engineering team to scale the data processing components of Together’s usage-based billing system, real-time customer-facing analytics product, and internal business intelligence tools. You will work across both cloud-native services and globally distributed data centers. If you thrive in fast-paced environments and have a passion for defining and building early-stage data platforms for a rapidly scaling and data-intensive company, this is for you. • 5+ years of demonstrated experience in building large scale, fault tolerant, distributed data platforms, stream processing pipelines, ETLs, etc, • Expert-level skills in designing, building, and operating stream processing pipelines with services like AWS Kinesis, Apache Kafka, or Redpanda, • Expert-level knowledge of building real-time customer facing analytics systems using services like AWS TimeStream or Clickhouse, • Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform, AWS CDK, or Pulumi, • Proficiency in version control practices and integrating IaC with CI/CD pipelines., • Proficiency in implementing and managing GitOps workflows with tools such as ArgoCD, Github Actions, TeamCity, or similar, • Proficiency in one or more of Golang, Rust, Python, Java, or TypeScript, • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience, • Experience with Kubernetes, or containers a plus, • Identify, design, and develop foundational data infrastructure components capable of handling millions or billions of events daily, • Analyze and improve the robustness and scalability of existing data processing infrastructure, • Partner with product teams to understand functional requirements and deliver solutions that meet business needs, • Write clear, well-tested, and maintainable infra-as-code and software for both new and existing systems, • Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance, • Participate in an on-call rotation to address critical incidents when necessary Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $240,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at ___

We're democratizing software creation. Our platform lets anyone describe an idea and instantly turn it into a working application—no coding required. We're solving one of computing's fundamental challenges: bridging the gap between human intent and software execution. This requires breakthrough advances in AI reasoning, code generation, and user experience. We've raised a large seed round from of the best investors in the world including Alexis Ohanian (776), Arielle Zuckerberg and Cyan Banister (Long Journey), Ali Partovi and Suzanne Xie (Neo), and a whole host of amazing angels who are leaders at Google, Expo, OpenAI, etc. We're looking for an AI Engineer to build the world's most capable consumer-facing coding agent. You'll work across the entire AI stack—from model architecture to deployment—while maintaining focus on user experience. What you'll do: * Design and implement agentic architectures for our SOTA coding AI agent * Build evaluation frameworks to measure code quality and user intent alignment * 3+ years building and deploying AI/ML systems in production * Strong background in building applied AI agents * Our agent is written in TypeScript so heavy TypeScript knowledge will be great * Passion for developer tools and making AI systems feel magical to use * Track record of shipping scalable AI products from concept to production Impact: Build technology that changes how software is created, potentially affecting millions of creators. Ownership: Join a small, high-caliber team where you'll shape our technical architecture and product direction. Growth: Significant equity and the opportunity to scale with a well-funded, fast-growing company. * Base Salary: $150,000 - $400,000 based on experience * Equity: Significant equity package * Location: In-person in San Francisco Send your resume and a note about a technical project you're proud of to ___ along with filling out the form below. We'll start with a technical conversation, followed by an onsite where you'll work on real problems with our team.

Job Description ABOUT US: Be a part of the growing boutique fitness industry and join our Studio Team! Interact directly with members and prospective members and help them on their fitness journey while you connect and contribute to our studio community in this fun, high-energy and service-focused environment! Riser Fitness, established in 2013, is a multi-unit operator and developer of the Club Pilates franchise system. Riser Fitness is one of the largest and longest operating franchisees. POSITION: The General Manager will oversee all studio functions from sales to instructors. They will lead all sales efforts; drive membership growth and endeavor to prevent member attrition. The General Manager will hire, train and manage Sales Associates within their studio. The General Manager will utilize discretion and independent judgment in managing the studio and directing the work of employees. REQUIREMENTS: • 2+ years of retail/service sales or fitness sales experience., • Confident in generating personal sales and training Sales Associates in sales, • Ability to manage and drive 4 revenue streams: memberships, retail, private training, and teacher training, • Must be fluent in English and have excellent communication and strong interpersonal skills in person, on the telephone and via email, • Ability to excel in a fast changing, diverse environment., • Ability to recognize areas of improvement and make changes using good judgement., • An affinity and passion for fitness., • Solid writing and grammar skills., • Highly organized, proficient in data management, ability to prioritize and meet deadlines., • Professional, punctual, reliable and neat., • Strong attention to detail and accuracy., • Trustworthy and ability to handle confidential information., • Ability to work harmoniously with co-workers, clients and the general public., • Proficiency with computers and Studio software. RESPONSIBILITIES: • Lead generation including Grass Roots Marketing and Networking, • Implement sales process to schedule prospects into Intro classes, • Membership sales, • Manage staff schedule, • Ensure that studio retail/products are stocked with accurate inventory counts, • Train and Supervise Sales Associates, • Hire/Manage instructors at the studio, • Proficiency in ClubReady, to include revenue reports, attendance reports, etc., • Review instructor evaluations and assist in mentorship/disciplinary action as needed, • Independently make decisions related to high level customer service, • Collect out-standing dues, • Maintain cleanliness and organization of the Pilates Studio, • Enforce Club Pilates policies and procedures, • Ensure all forms, administrative supplies, and studio literature is stocked and visible, • Schedule and participate in networking/community events and studio promotions, • Strategically manage marketing campaigns to generate leads for the studio BENEFITS AND PERKS: • Starting Base Salary - $68,000-70,000, • $68,000-88,000 potential total comp including bonuses, • Monthly performance bonus opportunities up to $18,000 annually, • Health Benefits, • 401K, • Paid Time Off CMcqowUwUc

Our mission is to reinvent the way people learn, starting with language. We begin by teaching the next billion people English, Spanish, and French. English is the global language of business, culture, and communication, and over 1.5 billion people around the world are actively trying to learn right now. Others dream of communicating with the half-billion native Spanish speakers across the globe. The problem is that it's nearly impossible to learn to speak a language without constant access to a speaking partner. Grammar and vocab apps don't really help – you need to actually converse with someone. Speak is on a journey to fix this. We're creating an AI-powered experience that replicates the flow of a conversation, without needing a human on the other end. The goal is to make it radically more accessible to be able to have conversations in a foreign language and eventually help hundreds of millions of people gain fluency who otherwise wouldn't be able to. We started on this journey over five years ago and we've still got a long ways to go. We're thoughtfully adding new team members only when we think they can truly play a big role in our mission. Speak launched first in South Korea where we have quickly grown to become the top grossing education app in the country. We have now delivered this winning product to more than 40 countries globally and are continuing to expand to more markets in the coming months. The company is well funded, and as of December 2024, we've reached a $1B valuation with our Series C round, through key partners like Accel, OpenAI, Founders Fund, Y Combinator, Khosla Ventures, Lachy Groom, Josh Buckley, and more. We’re a team of more than 90 based throughout San Francisco, Seoul, Tokyo, Taipei, and Ljubljana. We are looking for an experienced Machine Learning Engineer to join our team and help develop cutting-edge speech recognition models that help teach language fluency. In this role you will take ownership of the end-to-end modeling pipeline, from training and experimentation to deployment and monitoring. You will also work closely with Product teams to design innovative learning experiences and measure the efficacy of production models as they affect our end users. We are a small, dynamic team where you will contribute as a developer and thought partner on team projects like ASR, assessment, pronunciation, content personalization, and much more. This is an incredibly exciting time to join an ML team designing a personalized learning experience that will revolutionize language learning for millions of learners worldwide — come join us! * Training and deploying ASR models end-to-end, including monitoring, performance tracking, and retraining * Improving the pronunciation model that provides precise feedback, and make it more central to our learning app * Creating metrics to measure ASR performance across tasks and languages * Expanding our ASR systems to new languages and markets * Building and maintaining data infrastructure such as training/evaluation datasets and labeling pipelines * Extensive experience training large models on GPUs and deploying custom deep learning models * Proficiency in Python and common Deep Learning frameworks like PyTorch * Demonstrated experience owning ML pipelines end to end, from POC to production * Strong communication skills and the ability to explain complex ML concepts to non-technical stakeholders * Sharp product sense and an ability to think broadly and cross-functionally about model quality in the context of user experience * Bonus * Experience with speech or audio * San Francisco, CA * Join a fantastic, tight-knit team at the right time: we're growing very quickly, we've most recently raised our Series C from some of the top investors in the valley, and we've achieved product-market fit in our initial markets. You'd join at a magical time when a single person could significantly change the course of the company. * Do your life's work with people you’ll love working with: we care strongly about our craft and want every person at Speak to feel like they're growing every day. We believe in the idea that working with people you both enjoy and have respect for makes everything better. We hire thoughtfully and only work with people we admire deeply. * Global in nature: We're live in over 40 countries and launching in a number of new markets soon. We have dedicated offices in San Francisco, Ljubljana, Seoul, and Tokyo, and you’ll have the opportunity to talk to users in each of these regions on a regular basis as well as travel. * Impact people's lives in a major way: Learning a language is one of the single most life-changing skills one can learn, and right now 99% of people never achieve their goal because the process is broken. We’re helping millions of people achieve their goals and improve their lives. Speak does not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The AI Engineering Tools team accelerates engineering velocity by integrating AI throughout the software development lifecycle. We're redefining how engineers build software by making development faster, more creative, and more reliable through intelligent, AI-driven tooling. Our mission is to help every engineer at Block leverage AI effectively, safely, and efficiently. We're looking for an experienced software engineer to help advance the next generation of AI-assisted development at Block. In this role, you'll work across AI infrastructure and developer tooling to build and optimize coding agents that empower engineers company-wide. You'll collaborate with platform and product teams to refine user experiences, introduce new capabilities, and improve the performance of coding agents. This is a unique opportunity to shape how AI transforms engineering itself. You'll work on projects that continuously improve AI coding agents across all Block repositories, enhancing their ability to understand context, complete tasks, and assist with real-world development workflows. • Design and build AI-driven developer tools that integrate seamlessly into the software development lifecycle (e.g., intelligent code assistance, inline reviews, or automated refactoring systems)., • Partner with vendors and internal teams to evaluate, integrate, and optimize AI engineering tools., • Collaborate with engineering leaders across Block to identify opportunities for AI integration that improve developer velocity and code quality., • Mentor engineers, contribute to design and code reviews, and help establish best practices for building reliable AI systems at scale., • 12+ years of experience building and shipping production systems., • Strong software engineering background, with fluency in designing scalable backend systems., • Deep understanding of LLMs, prompt engineering, and applied ML workflows from experimentation and evaluation to deployment and monitoring., • Experience integrating third-party AI models (e.g., OpenAI, Anthropic, or custom fine-tuned models) into real-world tools or services., • A pragmatic approach to experimentation and iteration, balancing innovation with reliability and security., • Strong communication and cross-functional collaboration skills, especially with engineers, product managers, and leadership., • Familiarity with developer ecosystems, IDEs, or productivity platforms is a plus (e.g., VS Code, Cursor, GitHub Copilot, etc.). You’ll help define how thousands of engineers across Block leverage AI to write better code, faster. Your work will shape the foundation for the next generation of developer productivity — one where AI is a trusted collaborator that elevates creativity, accelerates delivery, and improves software quality at scale. We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our ___. While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The AI Engineering Tools team accelerates engineering velocity by integrating AI throughout the software development lifecycle. We're redefining how engineers build software by making development faster, more creative, and more reliable through intelligent, AI-driven tooling. Our mission is to help every engineer at Block leverage AI effectively, safely, and efficiently. We're looking for an experienced software engineer to help advance the next generation of AI-assisted development at Block. In this role, you'll work across AI infrastructure and developer tooling to build and optimize coding agents that empower engineers company-wide. You'll collaborate with platform and product teams to refine user experiences, introduce new capabilities, and improve the performance of coding agents. This is a unique opportunity to shape how AI transforms engineering itself. You'll work on projects that continuously improve AI coding agents across all Block repositories, enhancing their ability to understand context, complete tasks, and assist with real-world development workflows. • Design and build AI-driven developer tools that integrate seamlessly into the software development lifecycle (e.g., intelligent code assistance, inline reviews, or automated refactoring systems)., • Partner with vendors and internal teams to evaluate, integrate, and optimize AI engineering tools., • Collaborate with engineering leaders across Block to identify opportunities for AI integration that improve developer velocity and code quality., • Mentor engineers, contribute to design and code reviews, and help establish best practices for building reliable AI systems at scale., • 8+ years of experience building and shipping production systems., • Strong software engineering background, with fluency in designing scalable backend systems., • Deep understanding of LLMs, prompt engineering, and applied ML workflows from experimentation and evaluation to deployment and monitoring., • Experience integrating third-party AI models (e.g., OpenAI, Anthropic, or custom fine-tuned models) into real-world tools or services., • A pragmatic approach to experimentation and iteration, balancing innovation with reliability and security., • Strong communication and cross-functional collaboration skills, especially with engineers, product managers, and leadership., • Familiarity with developer ecosystems, IDEs, or productivity platforms is a plus (e.g., VS Code, Cursor, GitHub Copilot, etc.). You'll help define how thousands of engineers across Block leverage AI to write better code, faster. Your work will shape the foundation for the next generation of developer productivity — one where AI is a trusted collaborator that elevates creativity, accelerates delivery, and improves software quality at scale. We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our ___. While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.

About Anyscale: At ___, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing ___, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like ___, ___, ___, ___, ___, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by ___ with $250+ million raised to date. About the role The Anyscale Research team is looking for a strong ML Engineer and Researcher who is passionate about pushing the boundaries of what’s possible with Ray. In this role, you will be instrumental in developing cutting-edge features, such as our new Accelerated DAG (ADAG) API, to establish Ray as a leader in large-scale training. You will play a key role in exploring new directions and driving our vision for Ray’s future. This position is ideal for individuals with a strong engineering background and a passion for ML systems. You will spend approximately 70% of your time coding and engineering, while the remainder will focus on research to support our strategic vision and innovation. The role demands a deep understanding of ML systems and applications, including LLMs and multimodal models, with a strong emphasis on technical skills and engineering expertise. About the team We are a newly formed team dedicated to applied research in both ML modeling and systems. Our mission is to advance the capabilities of Ray and advance machine learning workloads on the Anyscale Platform. We operate at the intersection of research and engineering, collaborating closely with the Ray Core and Ray Train teams to bridge gaps and develop innovative solutions that push the frontier of ML and systems research. \n We'd love to hear from you if have • Production level experience in Machine Learning, and in distributed ML Systems (Python/Pytorch), • 4+ years experience in one of those fields: Machine Learning, NLP, or CV, or ML Systems, • Graduate degree (MSc or PhD) in one of the fields above, • Published in a top-tier AI conference (Neurips, ICML, ICLR, CVPR, ACL, etc) A snapshot of projects you may work on • Enhancing Ray for Large-Scale Training: Collaborate with the Ray Core and Ray Train teams to adapt and optimize Ray for efficient, large-scale GPU-heavy training, addressing current limitations and expanding its capabilities., • Developing the ADAG API: Explore and potentially implement an Accelerated DAG (ADAG) API for Ray, aiming to improve performance and scalability for complex ML workflows., • System Integration and Optimization: Create and refine integrations between Ray and other components, such as Ray Data, to streamline large-scale ML processes and ensure seamless operation across different systems., • Research and Innovation: Contribute to cutting-edge research in ML systems, identifying new opportunities and methods to push the boundaries of what Ray can achieve in large-scale training environments., • Prototype and Benchmarking: Design and build prototypes to test new features or enhancements, and conduct benchmarking to assess performance improvements and validate the effectiveness of your solutions., • Work on applied research, pushing state-of-the-art on large-scale model training, • Advance Ray as the best open source library for large-scale machine learning Compensation • At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. The target salary for this role is $170,112 ~ $237,000. As the market data changes over time, the target salary for this role may be adjusted. This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including, Stock Options, • Healthcare plans, with premiums covered by Anyscale at 99%, • 401k Retirement Plan, • Wellness stipend, • Education stipend, • Paid Parental Leave, • Fertility Benefits, • Flexible Time Off, • Commute Reimbursement, • 100% of in office meals covered \n Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the ___ and the ___

Strava is the app for active people. With over 150 million athletes in more than 185 countries, Strava is where connection, motivation, and personal bests thrive. No matter your activity, gear, or goals, we help you find your crew, crush your milestones, and keep moving forward. ___ with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. We are looking for a Machine Learning Platform Engineer to join the growing AI and Machine Learning team at Strava. This team is responsible for developing sophisticated machine learning models and systems, plus leveraging generative AI technologies. Together this provides value to Strava athletes in various aspects including personalization, recommendations, search, and trust and safety. This is an important role on the team to develop and expand the platform behind the curtain. This lets us build models of higher quality with less friction. It helps ensure our models are served with stability and reliability, while ensuring we monitor model performance carefully. Ultimately you won’t just help with the things we are doing now, but also unlock our technological capabilities for the future. We follow a flexible hybrid model that translates to more than half your time on-site in our San Francisco office— three days per week. • Own End to End Systems: Drive key projects to power AI/ML at Strava end-to-end from gathering stakeholders requirements to ground up developer to driving adoption and optimizing the experience, • Interact with a Rich and Large Dataset: Explore and help leverage Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features, • Contribute to a Well Loved Consumer Product: Work at the intersection of AI and fitness to help launch and maintain product experiences that will be used by tens of millions of active people worldwide, • Holding empathy and perspective: Work closely with engineers and data scientists to understand the opportunities to help them succeed; they will be your customers!, • Leading as an owner: Owning your work end-to-end and being accountable for the outcomes in the projects you lead, influencing the ML team, partner teams, and landing impact for the business. Ensure the end-to-end system delivers as expected through collaboration with partners., • Collaborating in and across teams: Build relationships, advocate and communicate with cross-functional partners and product verticals to identify opportunities and bring your technical vision to life., • Driving innovation with product in mind: Stay up-to-date with the latest research in machine learning, AI, and related fields. Experiment, advocate, and gain buy-in for innovative techniques to enhance our existing platform, resulting in step-function changes to how we build AI at Strava., • Being passionate about the work you are doing and contributing positively to Strava’s inclusive and collaborative team culture and values, • Have worked on complex, ambiguous platform challenges and broken them down into manageable tasks with both strategies and tactical execution., • Demonstrated technical leadership in leading projects and the ability to mentor and grow early-career team members., • Have demonstrated strong interpersonal and communication skills, and a collaborative approach to drive business impact across teams., • Have worked with a variety of MLOps tools that fulfill different ML needs (like FastAPI, LitServe, Metaflow, MLflow, Kubeflow, Feast), • Are experienced in production ML model operational excellence and best practices, like automated model retraining, performance monitoring, feature logging, A/B testing, • Experience with generative AI technologies around LLM evaluation, vector stores, and agent frameworks., • Have built backend production tools and services on cloud environments like (but not limited to) AWS, using languages Python, Terraform, and other similar technologies., • Have built and worked on data pipelines using large scale data technologies (like Spark, SQL, Snowflake), • Have experience building, shipping, and supporting ML models in production at scale, • Have experience with exploratory data analysis and model prototyping, using languages such as Python or R and tools like Scikit learn, Pandas, Numpy, Pytorch, Tensorflow, Sagemaker At Strava, we know our employees are the most important ingredient to our success, and our compensation and total rewards programs reflect that. We take a market-based approach to pay, and pay may vary depending on the department and your location. Salary ranges are categorized into one of three zones based on a cost of labor index for that geographic area. We will determine the candidate’s starting pay based on job-related skills, experience, qualifications, work location, and market conditions. We may modify these ranges in the future. For more information, please contact your talent partner. Compensation: $165,000 - $175,000. This range reflects base compensation only and does not include equity or benefits. Your recruiter can share more details about the full compensation package during the hiring process. For more information on benefits, please ___. Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Our mission is to make world-class software security available to everyone. This means building program analysis tools that are open source, easy to use, powerful, and fast. It also means building a team with security expertise and a passion for great developer experiences. Most of all, it means working with honesty and respect in a diverse community of dreamers and builders. We’ve redefined static analysis tooling by committing to all of these, and turned our project, Semgrep, into an essential safeguard for code at Snowflake, Dropbox, and more. Our mission is to make world-class software security available to everyone. This means building program analysis tools that are open source, easy to use, powerful, and fast. It also means building a team with security expertise and a passion for great developer experiences. Most of all, it means working with honesty and respect in a diverse community of dreamers and builders. We’ve redefined static analysis tooling by committing to all of these, and turned our project, Semgrep, into an essential safeguard for code at Snowflake, Dropbox, and more. As a Senior Marketing Data Engineer within Revenue Marketing, you’ll be instrumental in shaping data-driven marketing strategies that drive measurable growth across our revenue organization, including demand generation, channel partnerships, and sales. In this role, you’ll build and optimize data infrastructure that delivers actionable insights, empowering the team to make high-impact, data-informed decisions. Leveraging advanced analytics and predictive modeling, you’ll help forecast marketing trends and inform strategic investment choices. You’ll also take ownership of data integrity, working closely with marketing operations to ensure quality data collection and analysis. Reporting to the Head of Revenue Marketing, you’ll play a pivotal role in aligning analytics with our marketing vision and maximizing campaign effectiveness through experimentation and robust KPI tracking. • Build and Automate Reporting Solutions: Work with leaders across marketing and revenue teams to create easy-to-use reporting tools that promote transparency and accountability. Automate routine reports to give Revenue Operations clear, valuable insights and more time to focus on strategic work., • Drive Data-Backed Marketing Strategies: Use data to shape strategies in demand generation, account-based marketing (ABM), and channel partnerships. Set up performance metrics that guide smart decisions as we expand our marketing channels, ensuring our resources are used effectively., • Lead Customer Acquisition Forecasting: Own the customer acquisition forecast process within Revenue Operations, working closely with Finance to track progress toward goals. Use predictive analytics to anticipate trends and help the team stay ahead of changing customer needs., • Ensure Data Quality Across Systems: Partner with Business Systems to improve data quality and reliability, making sure all processes and tools work smoothly together. Take the lead in ensuring data accuracy and setting up reliable data collection and reporting practices., • Use Advanced Analytics to Improve Campaigns: Apply statistical methods like A/B testing to dig into campaign performance and find opportunities for improvement. Support marketing operations by helping optimize our technology setup so it can deliver clear, actionable insights for the team, • Ensure Data Integrity and Quality: Build and maintain processes that guarantee high-quality, accurate data collection and reporting, serving as a key steward of data integrity within the revenue marketing team., • Drive Predictive Analytics and Modeling: Leverage advanced analytics and predictive modeling to forecast marketing trends, guiding strategy and anticipating customer needs., • Optimize Marketing Investments: Support budget optimization by providing data-backed analyses that inform resource allocation, helping prioritize initiatives with the greatest revenue impact., • Enhance Marketing Technology Stack: Collaborate with the marketing operations team to optimize our technology stack, ensuring it supports comprehensive analytics and seamless reporting., • 7+ Years of Relevant Experience: Extensive experience in Revenue Operations, Sales Operations, Growth Analytics, or Business Intelligence, with a focus on leveraging data to drive strategic decisions., • 5+ Years Collaborating with Marketing and Sales Teams: Solid understanding of go-to-market (GTM) metrics and how they inform marketing strategies and sales initiatives., • Data-Driven Problem Solver: Proven ability to translate complex business processes and data into actionable analytics solutions that address key business questions., • Expert SQL Proficiency: Mastery of SQL for querying and manipulating large datasets, coupled with familiarity with Salesforce, Marketo (or comparable marketing automation tools), and a BI tool (Tableau, Looker, Power BI, etc.) to create insightful reports and dashboards., • Strong Dimensional Modeling and Data Warehousing Knowledge: Deep understanding of dimensional modeling principles and data warehousing concepts to design and maintain efficient data structures., • Cross-Functional Collaboration Skills: Demonstrated ability to work effectively across teams, understanding the underlying needs behind data requests to deliver tailored analytics solutions., • Data Quality and Troubleshooting Expertise: Experience in identifying and resolving data discrepancies, working closely with Business Systems and Engineering teams to address upstream data issues and improve data integrity., • Curiosity and Analytical Mindset: A strong desire to understand complex systems and processes, with a knack for creating clarity and order from chaotic data environments., • Constructive Attitude Toward Improvement: A balanced approach to evaluation, with the ability to recognize what’s working well while identifying opportunities for enhancement. Must be willing to be onsite in our SF office 2-3 days per week. Salary Range: $133,000 - $196,000 Our compensation package includes equity and benefits in addition to salary. Please note that the range listed is for someone based in the San Francisco Bay Area. Our goal is to competitively and fairly compensate every Semgrep employee with a system that equally rewards those who are vocal and those who are less comfortable making demands during the final steps of the hiring process. To that end, we generate internal compensation bands that are used when discussing and negotiating salaries. We update these based on market data to make sure they’re above the average for comparable roles. We also invest in our employees’ well-being and long term success with comprehensive health plans, generous vacation time, 401k, learning stipends, and more. Our benefits are for everyone, so that you’re taken care of, and we work with individuals to make sure they have what they need, whether that’s quiet work space, adjusted hours, or something else. We have people from France and the Philippines, physics and philosophy, formal methods research and full fledged corporations. We’re new parents and new grads, aspiring authors and aspiring Americans, dog lovers and dogfooders. We get together often to bike, bake, and meet up in parks. In our interactions, we believe respect and honesty go hand in hand, and prioritize both. Semgrep is an equal-opportunity employer seeking a diverse range of backgrounds. We value who you are — including your cultural heritage, your socioeconomic status, your age, your race, your gender, your sexual orientation, your disabilities. We value what’s vitally important to you — your family, your religion, your politics. We value what you love in this world — your music, your weekend pursuits. We believe in welcoming varied professional backgrounds, educations, and interests. If you’re exceptional in your role, believe in Semgrep’s mission, and treat Semgrep’s values as your own, you belong here.

At Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next. We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems. While San Francisco and Boston are preferred, we are open to other locations in United States. * You’re an ML engineer who loves building for developers, not just models * You get excited by turning research breakthroughs into usable platforms * You want to make powerful model customization accessible to non-ML engineers * You think in systems and abstractions—how to package complexity into simple APIs and flows * You enjoy collaborating across research, infra, and product to bring technology into builders’ hands * Strong applied ML experience (training, fine-tuning, evaluation, deployment) * Experience building tools, SDKs, or infrastructure for developers * Deep understanding of how to expose ML capabilities through clean abstractions * Familiarity with model optimization, distillation, or on-device inference a plus * Comfort translating research into practical, productized workflows * Build and evolve Liquid’s internal ML-to-developer platform layer * Translate internal learnings from research and applied ML into scalable product workflows * Develop systems that enable developers to customize and deploy models without needing ML expertise * Collaborate closely with product engineers to define APIs, UX, and developer experiences * Identify opportunities to automate or simplify what’s currently done manually in applied ML projects * Shape the foundation that powers future ML-driven products and applications * The opportunity to bridge cutting-edge ML and real-world developer usability * Deep collaboration with world-class ML researchers and engineers * Influence over how Liquid’s core technology reaches developers and enterprises * A front-row seat in shaping how efficient AI becomes accessible at scale Spun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

We are looking for a versatile Research Engineer with a strong background in machine learning or 3D, software development, and systems design. This role is ideal for someone excited about bridging cutting-edge research with practical engineering, and who thrives on solving diverse technical challenges across modeling, infrastructure, and product development. You’ll work closely with researchers, engineers, and product teams to design, build, and deploy advanced models and systems in real-world applications on the cutting edge of spatial intelligence. The role emphasizes hands-on contributions across the entire lifecycle—exploration, prototyping, experimentation, and production deployment. You will help ensure our technology continues to push boundaries in AI and remains robust, scalable, and impactful. * Research, design, and implement machine learning models and systems across multiple domains (vision, generative AI, simulation, rendering). * Develop efficient software pipelines and infrastructure for data curation, training, evaluation, and deployment. * Translate research insights into production-ready solutions, collaborating with product teams to meet real-world requirements. * Contribute hands-on to all aspects of the engineering cycle—prototyping, optimization, integration, and scaling. * Stay current with the latest research trends and explore opportunities to apply new methods to product and system development. * Share technical expertise with colleagues, mentor junior team members, and promote engineering best practices. * 3+ years of experience in applied machine learning, research engineering, 3D, or related development roles, ideally in fast-paced or startup environments. * Proficiency with ML frameworks such as PyTorch or TensorFlow, and solid understanding of generative modeling, deep learning, or reinforcement learning. * Demonstrated ability to work across different problem domains (e.g., computer vision, simulation, graphics, or systems). * Proven track record of delivering robust prototypes and/or production systems. * Strong coding skills in Python (additional experience with C++ or CUDA a plus) and comfort with GPU-accelerated computing. * Strong problem-solving skills with the ability to adapt quickly, manage ambiguity, and operate in a dynamic environment. * Excellent communication skills, with the ability to work effectively across research and product-focused teams. * Contributions to open-source projects in ML, systems, or developer tools. * Experience with large-scale training or distributed systems (multi-GPU or multi-node). * Familiarity with deployment and integration of ML models in production settings. * Experience writing efficient low-level code (e.g., CUDA kernels, performance optimization).

Location: Remote (U.S. based) or Hybrid in San Francisco, CA Seniority Level: Senior-Level Job Type: Full-Time Visa Sponsorship: Not available About the Opportunity An emerging AI infrastructure company backed by $15M in funding is looking for its first senior data professional to architect the systems driving their customer insights engine. The company has seen rapid growth and adoption among developers and is now scaling operations to support its expansion across product, marketing, and revenue. Key Responsibilities • Design and manage data infrastructure that consolidates customer behavior, usage metrics, and sales signals into a unified intelligence layer, • Create advanced SQL schemas and optimize PostgreSQL performance to support real-time insights, • Build and maintain end-to-end data pipelines and automation workflows using tools like n8n and modern API integrations, • Drive cross-functional analytics across product development, growth strategy, and marketing attribution, • Minimum of 3 years in data engineering in a startup environment, preferable developer-facing company., • AI Enthusiasm: Actively uses AI tools and automation platforms like N8N or Zapier for data workflows., • Advanced proficiency in PostgreSQL, including schema design and query optimization, • Experience building data automations and integrations using tools such as n8n or similar, • Strong analytical and statistical background; familiarity with ETL, data modeling, and predictive analytics, • Comfort using AI tools (e.g., OpenAI, Claude, Codex) to accelerate analysis and workflows, • Demonstrated curiosity for customer behavior and product impact Bonus Points If You Have: • Experience as the first or sole data hire in a fast-paced startup environment, • Proven ability to translate data into actionable product insights, • Built AI-enhanced dashboards or decision-making tools, • Autonomy: Own the design and impact of a mission-critical system from the ground up, • Impact: Play a key role in connecting product, growth, and revenue strategy, • Growth: Competitive equity package as an early member of a high-velocity team, • Innovation: Flexible environment where experimentation with new tools is encouraged, • Hybrid flexibility: Option to collaborate on-site in SF or fully remotely in the U.S

Writer is seeking an experienced Developer advocate focused on events and community engagement to join our developer relations team at Writer. An accomplished storyteller with a strong technical background, this developer advocate will represent Writer at events, on social media, and in AI engineering communities to drive awareness of Writer research and technology and adoption of the Writer platform. You will collaborate with product marketing and our research and technology teams to develop high quality technical presentations, represent Writer at engineering and research events through sponsorship and speaking, engage with the AI engineering community on social media and platforms like Discord, and find other creative ways to ensure that the great work Writer is doing is front and center in these communities. When applying, please submit examples of your public speaking that are relevant to your work experience (e.g. recordings of previous talks, slides). If you do not, your application will not be considered. * Speak at high impact AI engineering conferences and meetups in AI hubs like SF, NYC, Chicago, and Austin. * Partner with the strategic events team and work at sponsored technical events, such as technical and research conferences. * Proactively engage in AI engineering, ML, and Python communities through social media and platforms like Discord and Reddit. * Run and participate in hackathons and workshops, partnering with other development platforms when it will magnify impact. * Pursue additional opportunities to promote Writer’s models and technology, such as submitting to leaderboards or building engaging public demos. * Appear on podcasts and streams discussing Writer’s research and technology * Assist the rest of the team with technical content creation, docs, and SDKs when needed. * Independently and proactively manage projects in coordination with the team, adhering to deadlines and contributing to our overall developer experience strategy. * Report to our Director of developer relations. * You are obsessed with technical storytelling and deeply understand the critical importance of balancing education with marketing impact. * You understand the nuances of different technical personas working in AI and how to authentically engage with them: researchers, developers, and IT. * You bring at least three years of experience as a developer advocate, software developer, AI/ML engineer, or related role, with a proven track record of impactful public speaking and community engagement. * You have experience with AI and ML, with additional proficiency in Python. For example, you'd feel at home attending and presenting at LLM Paper Clubs. * You have strong analytical and problem-solving skills. * You quickly adapt to new domains and are able to communicate complex ideas and concepts effectively. * You are able to work independently and collaboratively. * You put the audience first, ensuring content is accessible and engaging. * You’re willing and able to travel (30-50%). * Formal or otherwise documented education in machine learning, artificial intelligence, or AI engineering is preferred * Experience developing technical content for an AI company * Experience working in a fast-paced startup environment * Familiarity with building applications that use LLMs 🍩 Benefits & perks (US Full-time employees) * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

OpenAI’s Platform team powers how millions of developers and enterprises build with our models. We provide APIs and agentic solutions used by global startups and fortune 500s. We work closely with product, engineering, design, and go-to-market to build a world-class platform that pushes the frontier of AI capabilities. As a Data Scientist on the Platform team, you will drive a data-driven culture for OpenAI’s API and B2B solutions. You’ll define the metrics that matter for developer success and enterprise value, measure the impact of new models and features, and partner with PMs and engineers to improve model quality, reliability, latency, and cost. Your work will shape how thousands of products adopt agentic AI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. * Embed with the Platform product team as a trusted partner, uncovering ways to improve developer experience, reliability, and usage growth * Define north-star metrics across the developer funnel (activation, retention, growth), as well as latency/cost guardrails for new features and models * Design and interpret A/B tests and controlled rollouts (e.g., new model versions, pricing/limits, new API features, new B2B products) * Build source-of-truth dashboards and self-serve data tools for product, engineering, and go-to-market teams * Translate product learnings into actionable feedback for Research (e.g., failure modes, eval gaps, model response quality) * 5+ years in a quantitative role in ambiguous, high-growth environments (platforms, APIs, or B2B products a plus) * Depth in SQL and Python, with a track record proposing, designing, and running rigorous experiments * Experience defining and operationalizing metrics from scratch (including reliability/latency/cost and safety) * Strong cross-functional communication with PMs, engineers, and executives * Strategic instincts beyond p-values—clear thinking about tradeoffs and business impact * Background in developer platforms, observability, or usage-based pricing/quotas * Experience connecting offline evals to online product impact * Prior work in NLP/LLMs or agentic systems, or in enterprise analytics for B2B products About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see ___. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through ___. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this ___. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

we're building the all-in-one platform for AI development. here's what that actually means: the core: a programming language for building just AI assembly language for the new reasoning unit (LLM) is English, so let’s put it front and centre and incorporate best concepts from software engineering: * conditional statements * loops * function calling functions (aka in fancy language multi-agent communication) — this is more difficult than it seems because of the needed type system (see below) * type system (especially important for interacting with multimodal LLMs where one output might have to be transformed to be passed on forward to the next step of the flow which might incorporate an LLM which can only interact with specific modalities) * easy linking with Tools (custom or prebuilt and ready to use: speech-to-text, image generation, ElevenLabs, research and many more the ide: where the magic happens like notion met vscode and had a baby. build and test AI flows instantly, see results in real-time, iterate fast. deployment: choose your flavor * api mode: * plug your AI engine straight into your product * forget about prompt management hell * focus on features, not infrastructure * workflow mode: * automate your work with triggers and actions * start small, scale to entire business processes * connect everything - it's an operating system for AI * wordapps & repository: * deploy as public/private web apps * share your flows github-style * let others fork and build on your work * control what people see (from basic UI to full process) tl;dr we need someone who can build fast, think big, and doesn't mind wearing multiple hats. you'll be crafting the foundation of an ai development platform used by hundreds of thousands of builders. if you've ever wanted to see your code shape an entire industry, this might be your jam. the bigger picture: we're not just talking to traditional developers. we're reaching the next 500 million people who will be "coding" with plain english - lawyers, designers, product managers, founders, and domain experts of all kinds. our product needs to thread an impossible needle: deep enough for engineers, accessible enough for everyone else, and compelling enough to show both groups why this matters. what you'll actually be doing: * architecting stuff that matters: * collaborative ide for ai development (think google docs meets vscode) * real-time multi-user editing with y.js * llm orchestration that actually works * crafting the foundations of AI agents that no-one has solved yet * writing a ton of code (mostly typescript/next.js) * keeping our stack running smoothly (aws/cloudflare) * talking to users when they break things * sometimes making product decisions on the fly * solving hard problems, for example: a core part of wordware is the executor that interprets the wordware schema to run the agents. these agents can have arbitrarily long duration especially when they request input from a human. they also need to have extremely low latency for the realtime case. plus be highly reliable. oh, and they need to be traceable and debuggable by our end users and scale from zero to thousands in a matter of seconds. you should probably: * have built real things that real people use (4+ years) * be comfortable with our stack: * typescript + next.js + react * tiptap + y.js for collab * all the llm apis (openai, anthropic, mistral, etc) * actually enjoy the chaos of startup life * have experience building with AI - an “AI engineer” * fix things without being asked * care about users more than your code * it’s a bonus if you have been a founder/cto in the past, currently all engineers raised VC but we are okay to branch out real talk: * sf only, lots of work, meals at the office * you'll be shipping to production day 1 * sometimes you'll build features without full specs - you’ll need to uncover the unknown requirements * you might have to make ux decisions when designers/founders are busy * your code will impact hundreds of thousands of developers * yes, we actually do crossbow competitions if you've ever: * built something complex from scratch * wished you could fix developer tools * wanted to shape how ai is built ps: we're backed by spark capital, felicis, and y combinator ($30m seed — biggest out of YC round) but we still work like a seed startup. and yes, the office will have a sauna and be 30m from the sea 🥵

Role Overview Mercor is collaborating with a top-tier developer documentation team to support high-priority technical writing and content validation tasks. This opportunity is ideal for seasoned API documentation professionals with deep experience in OpenAPI/Swagger, release note generation, and static site deployment workflows. The goal is to enhance the clarity, completeness, and usability of technical content critical to developers' day-to-day integration work. This is a short-term, high-impact contract with flexible hours. Key Responsibilities - Import and validate OpenAPI specifications; ensure syntax and schema completeness. - Write human-readable descriptions for endpoints, parameters, requests, and responses. - Create realistic usage examples and annotate rate limits, pagination, and authentication behavior. - Generate and deploy HTML reference documentation using static site generators (e.g., Docusaurus, MkDocs). - Review and categorize release changes from Git logs and issue trackers into user-friendly notes. - Test and verify code samples, markdown syntax, and internal/external links in documentation pull requests. - Troubleshoot and resolve documentation build failures via CI/CD pipelines and local environment testing. - Update knowledge base articles for accuracy post-product changes, including screenshots and version info. Ideal Qualifications - 5+ years of experience in technical writing or developer documentation roles. - Strong proficiency with OpenAPI/Swagger, Markdown, and static site generators. - Familiarity with Git, CI/CD workflows, and link-checking tools. - Experience documenting SDKs, APIs, CLI tools, or developer-facing UIs. - Attention to detail in writing, syntax, and formatting. - Ability to write concise, developer-focused documentation with minimal supervision. More About the Opportunity - Remote and asynchronous — control your own work schedule - Expected commitment: min 30 hours/week - Project duration: ~6 weeks Compensation & Contract Terms - $50–80/hour - Independent contractor arrangement - Paid weekly via Stripe Connect Application Process - Submit your resume followed by domain expertise interview and short form About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

We’re looking for open-source contributors and experienced engineers who understand how to review, maintain, and troubleshoot live repositories. ### Who You Are - An open-source developer or maintainer who has contributed to or reviewed code in live repositories - Comfortable reasoning about Git at a deep level - Adept at debugging repository states and fixing broken histories without data loss ### Preferred Qualifications - 3+ years of software engineering experience in open-source, backend, or DevOps roles - Demonstrated history of contributions on GitHub, GitLab, or other OSS platforms - (Bonus) Experience in code review or AI/LLM model evaluation ### Why Join - Turn your open-source experience into valuable, high-impact data - Fully remote, flexible work, with competitive compensation

Mercor is partnering with a top AI research organization to evaluate and improve how coding assistants reason, act, and communicate during development workflows. We’re seeking technically sharp experts (especially those with experience in code review, testing, or documentation) to assess full transcripts of user–AI coding conversations. This short-term, fully remote engagement helps shape the future of developer-assisting AI systems. Key Responsibilities • Review long-form transcripts between users and AI coding assistants • Analyze the AI’s logic, execution, and stated actions in detail • Score each transcript using a 10-point rubric across multiple criteria • Optionally write brief justifications citing examples from the dialogue • Detect mismatches between claims and actions (e.g., saying “I’ll run tests” but not doing so) Ideal Qualifications Top choices: • Senior or Staff Engineers with deep code review experience and execution insight • QA Engineers with strong verification and consistency-checking habits • Technical Writers or Documentation Specialists skilled at comparing instructions vs. implementation Also a strong fit: • Backend or Full-Stack Developers comfortable with function calls, APIs, and test workflows • DevOps or SRE professionals familiar with tool orchestration and system behavior analysis Languages and Tools: • Proficiency in Python is helpful (most transcripts are Python-based) • Familiarity with other languages like JavaScript, TypeScript, Java, C++, Go, Ruby, Rust, or Bash is a plus • Comfort with Git workflows, testing frameworks, and debugging tools is valuable More About the Opportunity • Remote and asynchronous — complete tasks on your own schedule • Must complete each transcript batch within 5 hours of starting (unlimited tasks to be done) • Flexible, task-based engagement with potential for recurring batches Compensation & Contract Terms • Competitive hourly rates based on geography and experience • Contractors will be classified as independent service providers • Payments issued weekly via Stripe Connect Application Process • Submit your resume to begin • If selected, you’ll receive rubric documentation and access to the evaluation platform • Most applicants hear back within a few business days About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey • Thousands of professionals across law, engineering, and research contribute to frontier AI projects via Mercor

Shaw Bakers is seeking an experienced Product Developer to join our dynamic team. The ideal candidate will bring knowledge in bakery product development, with a strong focus on lamination techniques. Experience with cookies, bread, or brioche is a plus. This role demands a professional with a proven track record in creating innovative products from concept to commercialization, demonstrating both creativity and rigorous technical expertise in industrial food product development. The role involves a mix of office work, lab/kitchen testing, production facility trials, and visits to suppliers and customers, requiring a self-starter with strong leadership skills who remains humble and collaborative. What You'll Do • Product Development: Lead the end-to-end development of innovative bakery products, from ideation to market launch, ensuring alignment with customer requirements and brand standards., • Recipe Development: Create and refine detailed paper recipes, including advanced costing, strategic sourcing of ingredients, and proposed labor assumptions, while optimizing for industrial process capabilities and scalability., • Documentation: Document formulas, initial cost of goods, labor assumptions, and production processes, ensuring accurate and up-to-date batch sheets., • Industrial Pilots: Design and oversee industrial pilot tests in production facilities, organizing up-front test-runs to anticipate potential issues, advise on formula adjustments or needed investments, and optimize processes for consistent quality at scale., • Product Quality: Establish and document quality control measures to ensure product consistency and excellence. Define corrective actions with managers and ensure their implementation across departments. Oversee documentation of any production process changes., • Continuous Improvement: Identify opportunities to enhance processes with a continuous improvement mindset, driving efficiency and quality across development and production stages., • Cross-Functional Leadership: Collaborate with operations, packaging engineers, sales, supply chain, and FSQA (Food Safety and Quality Assurance) teams to drive seamless product execution and process improvements., • Equipment Strategy: Partner with the engineering team to evaluate and recommend new equipment to enhance product development and production efficiency. Who You Are • Education: Degree in Food Science, Bakery Science, Engineering, or a related field is preferred, or equivalent professional experience., • Bakery Expertise: Professional experience (3+ years) in bakery product development, with advanced expertise in lamination techniques. Experience with cookies, bread, or brioche is a plus., • Creative and Technical Excellence: Proven ability to blend traditional baking savoir-faire with an engineering mindset to deliver innovative, high-quality products in an industrial setting., • Self-Starter and Leadership: Demonstrated ability to independently initiate and drive projects to completion, with strong leadership skills to guide teams and influence cross-functional stakeholders., • Humble and Collaborative: A team-oriented mindset with humility, fostering positive relationships and effective collaboration with operations, packaging, sales, supply chain, and FSQA teams., • Industrial Process Mastery: Comprehensive understanding of industrial food production processes and equipment, with a focus on performance, scalability, and optimization., • Analytical Expertise: Proficiency in recipe costing, ingredient sourcing, labor assumptions, process optimization, and documentation of formulas and production processes., • Quality and Food Safety: Knowledge of quality control measures, Good Manufacturing Practices (GMP), and microbiological testing to ensure product safety and shelf life., • Communication and Mobility: Strong interpersonal skills for engaging with suppliers and customers during visits, and adaptability to work across office, lab/kitchen, and production environments. Ability to lift 30 lbs. as necessary, over 50 lbs. with assistance., • Language: English required; Spanish and/or French are strongly preferred Who We Are We are the proud artisans behind San Francisco's beloved bakery brand, La Boulangerie, charting a path towards a nationwide presence in the world of CPG. Established in 1996 by French baker Pascal Rigo, La Boulangerie swiftly earned its place as a household name across California. Our unwavering mission from day one has been to bring a little taste of France, with delicious and nutritious food, to as many people as possible. Fueled by our Bay Area roots, thriving neighborhood cafes, and historical successes we embark on an exciting journey into larger-scale CPG and wholesale opportunities. Through our past endeavors with industry giants like Starbucks, to today's strategic partnership with Premium Brands, we're forging ahead with creativity and innovation, ensuring that our artisanal baked goods can be accessible to all. We manage branded product under La Boulangerie and private label product under Shaw Bakers, powered by one united and mighty team. We are bakers and innovators. We are food lovers dedicated to bringing delicious & nutritious food to as many people as possible, making a range of products from breads, pastries, sandwiches, and snacks. Our goal is to balance continual innovation while maintaining French standards for quality and technique. Today, our customers can sample decadent viennoiserie, mouthwatering sandwiches, and artisanal breads from one of our San Francisco cafes, or pick up their favorite loaf of Croissant Toast and Ham & Swiss Croissants from several fine retailers across the Bay Area and beyond...and we are just getting started!

About Us We are collaborating with our client, an innovative fintech startup headquartered in the Bay Area, which focuses on delivering real-time card data primarily aimed at B2B software firms. Established as a spin-out in early 2024 and launching their product by the summer of that year, this organization is at a pivotal growth juncture, experiencing an expanding customer base and ambitious future initiatives. With the support of notable investors including Nica Partners, QED Investors, RBC, and Visa, this organization is championing advancements in card issuance technology. Their team of 20 passionate professionals is seeking exceptional engineers to aid in scaling their operations. Job Description We are assisting this organization in their search for a Senior DevOps Engineer (L1+), tasked with steering the evolution of their infrastructure and serverless architecture. Operating primarily within an AWS framework and extensively utilizing Lambda, the ideal candidate will spearhead serverless migrations while upholding the stringent security protocols essential for the fintech and payments domain, particularly regarding PCI compliance. Key Responsibilities • Design and implement serverless infrastructure using AWS Lambda and associated services., • Lead the serverless migration process and help define the infrastructure roadmap., • Ensure compliance with PCI standards and establish security best practices throughout the infrastructure., • Manage and optimize SQL-based databases hosted on AWS., • Collaborate with teams to advance the organization's Kubernetes capabilities as they grow their microservices architecture., • Work collaboratively with engineering teams to enhance deployment pipelines and improve the developer experience., • Engage in a hybrid work model, requiring in-office presence on Tuesdays, Wednesdays, and Thursdays. Requirements Required: • A minimum of senior-level (L1+) experience in DevOps or Infrastructure engineering., • In-depth knowledge of AWS, particularly Lambda and serverless architectures., • A strong background in security practices, especially regarding PCI compliance for infrastructure., • Experience with SQL-based database management., • Familiarity with the fintech or payments industry is essential., • Knowledge of the card issuance sector and experience with payment networks, ideally including Mastercard., • Startup experience with a proven ability to deliver quick and effective solutions., • Experience with Kubernetes., • Expertise in microservices architecture., • Prior experience at organizations such as Marqeta, Plaid, Ramp, or Brex., • Experience working with payment networks. Benefits • A competitive compensation package comprising both salary and equity, ensuring alignment with the best talent available., • A 4% matching contribution for the 401(k) plan., • Comprehensive medical and dental insurance managed through Rippling., • Regular off-site events throughout the year in diverse locations across the US and Europe, including frequent trips to California and New York., • Exclusive company merchandise., • A hybrid work structure requiring three days of on-site work.

🚀 Senior Full-Stack Engineer – High-Growth AI SaaS Startup 📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite 💰 Salary: $200K–$325K + Meaningful Equity (1%+) Join an early-stage AI SaaS startup building an application builder that empowers business users to create custom applications where humans and AI collaborate seamlessly across enterprise workflows. You’ll play a pivotal role in shaping core architecture, product development, and first production deployments, working directly with the founder and early team. About the Role We’re seeking a Senior Full-Stack Engineer to lead product development and own major product surfaces across frontend, backend, and integration layers. This is a high-impact role where you’ll directly influence product direction and help build the foundation for Lumena’s platform. What You’ll Do • Design and build the core application builder — the orchestration layer connecting workflows, agents, and front-end views., • Develop and scale Lumena’s TypeScript-based backend and modern frontend stack (React + Tailwind)., • Build dynamic frontend interfaces for dashboards, forms, and human-AI workflows., • Collaborate with the applied engineering team to integrate automation and intelligence across systems., • Shape and maintain the integration layer connecting REST APIs, SQL sources, and third-party systems., • Define and enforce best practices for product engineering, architecture, and developer experience as the company scales. Who You Are (Must-Haves) • 4–15 years of professional software engineering experience in full-stack development., • Prior experience working in early-stage startups or high-growth environments., • Strong proficiency with TypeScript, Node.js, and modern frontend frameworks (React, Tailwind)., • Experience designing complex architectures, asynchronous workflows, and integrations., • Excellent problem-solving, collaboration, and communication skills. Nice-to-Haves • Experience building or integrating AI / LLM-powered applications., • Familiarity with orchestration/workflow frameworks such as Temporal., • Exposure to cloud platforms (AWS/GCP/Azure), containerisation, Kubernetes, and CI/CD pipelines., • Experience with enterprise-grade concerns: secure hosting (VPCs), observability, identity & compliance. Why Join? • Competitive salary: $200K–$325K + meaningful equity (1%+) in an early-stage company., • Work directly with experienced founders and influence the product roadmap., • Shape the architecture and direction of a high-impact platform powering first production deployments., • Be part of a small, agile, highly motivated team at the forefront of AI and enterprise applications.

Site Reliability Engineer As a Site Reliability Engineer (Contractor), you will be a hands-on contributor, focused on supporting and improving the reliability of our AWS cloud infrastructure. You will apply core SRE principles to automate operational tasks, monitor system health, and participate in incident response. This role is execution-focused, supporting the senior team in ensuring our services are available and performant while maintaining an awareness of healthcare compliance standards. The contract extension beyond 3 months will be on the need basis. Key Responsibilities (Contract Deliverables) Cloud Infrastructure Execution & Maintenance: • Assist in deploying, configuring, and maintaining highly available AWS infrastructure components., • Execute Infrastructure as Code (IaC) changes using tools like Terraform to provision and configure resources., • Assist the senior team in maintaining the security and efficiency of our core AWS network topologies (e.g., VPCs, subnets, routing)., • Perform basic configuration and maintenance of cloud load balancing (ALB/NLB) and DNS services (Route 53)., • Identify and automate routine manual operational tasks using scripting (Python/Bash) to improve efficiency and reduce toil., • Participate in blameless post-mortems and incident response efforts, focusing on documenting steps taken and assisting with root cause analysis., • Maintain and use existing monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK stack) to ensure system health., • Assist in managing and verifying CI/CD pipelines to ensure safe and efficient software releases., • Support compliance efforts by ensuring operational procedures align with security best practices and regulatory requirements (HIPAA, SOC 2). Required Qualifications • 8+ years of hands-on experience in a DevOps, Cloud Engineering, or SRE-focused technical role., • Solid practical experience with AWS cloud provider services., • Hands-on experience with Linux administration and troubleshooting., • Proficiency in scripting languages such as Python, Bash, etc for automation., • Solid experience with Infrastructure as Code tools such as Terraform., • Experience with containerization technologies such as Docker and Kubernetes., • Experience with monitoring systems like Prometheus, Grafana, AWS Cloud Watch., • Experience with writing SQLs on PostgreSQL DB., • Working understanding of core networking principles (VPC, routing, load balancing)., • Basic understanding of security and compliance requirements in a regulated industry (e.g., healthcare, finance). Preferred Qualifications • Relevant certifications such as AWS Certified SysOps Administrator or AWS Certified Developer., • Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI). Compensation: $72 - $90 per hour ID#: 2508

Data Scientist (San Francisco, CA) Our client is seeking a highly motivated and skilled Data Scientist to join a fast-paced, agile team focused on applying the latest advancements in artificial intelligence to solve complex, real-world problems. This position is ideal for an experienced developer who thrives in innovative environments and wants to work at the forefront of AI technology within a mission-driven organization. Location San Francisco, CA – Flexible arrangement based on candidate availability; onsite work is preferred. Engagement: 1099 Contract-to-Hire Important Notice: Successful candidates will be required to complete an in-person onboarding process. All expenses related to travel and accommodation for onboarding will be fully covered by our client. Responsibilities • Design, build, and maintain complex AI-driven software systems., • Develop and optimize machine learning and NLP pipelines, with a focus on scalability and production readiness., • Collaborate with team members to define requirements, perform software design, conduct peer reviews, and document solutions., • Implement best practices including version control, unit testing, code reviews, and agile development cycles., • Design and analyze experiments to validate model performance and enhance AI workflows. Required Skills & Qualifications • Strong Python skills, particularly for machine learning and NLP projects, • Good SQL skills for querying and analyzing data, • Basic C# skills – ability to read and understand existing .NET / .NET Core code and make minor adjustments if needed, • Experience working with Large Language Models (LLMs) or modern AI tools (e.g., ChatGPT, Cursor, Copilot), • Understanding of API and Microservices concepts, • Ability to work independently and thrive in a small, agile team Preferred Experience • Bachelor’s degree in Computer Science, Engineering, or a related field, • 5+ years of experience in software engineering, AI development, or ML engineering, • Cloud experience (Azure or AWS) is a plus, • Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn, • Experience with ETL processes and end-to-end ML pipeline development, • Exposure to big data tools like Databricks, Snowflake, Spark, or Solr is beneficial Additional Notes • Flexible hybrid or onsite role, depending on candidate preference., • Contract-to-hire with simple agreement amendment upon conversion. If you’re passionate about AI, Python, and NLP and want to contribute to impactful projects in a flexible, high-growth environment, we encourage you to apply.

Local Candidates only Who You Are: • An experienced full stack developer capable of bringing your expertise to our existing and upcoming AI applications/projects as both a leader and individual contributor., • Someone with a clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice. Minimum Requirements: • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field., • 5+ years of full stack development experience, • Strong proficiency in either a front-end framework (___, React, or similar) and a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar), • 4+ years experience with front-end frameworks (preferably ___), • 2+ years of developing and deploying AI/ML solutions or applications, • Experience designing and developing RESTful APIs (with e.g. Python FastAPI)., • Familiarity with prompt engineering, • Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes), • Strong automated software testing skills (Python unittest, jest, Playwright), • Familiar with Agile methodologies, • Excellent analytical and problem-solving skills with a track record of tackling complex technical challenges., • Leading system design and implementing scalable, fault-tolerant solutions for complex, distributed computing challenges., • Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders., • Experience with cloud platforms (e.g. AWS) and modern data platforms (e.g., Snowflake)., • Experience implementing chatbots, retrieval-augmented generation (RAG) systems, and integrating LLMs into applications (AI-assisted automation) Preferred Qualifications: • Experience building AI agents, fine-tuning LLM models, and evaluating bias and fairness with LLM systems, • Experience in developing Microsoft Word add-ins using ___., • Experience with web technologies like JWT, WebSockets, etc., • Experience with Huggingface, Langchain, TensorFlow, PyTorch, or similar., • Familiarity with DevOps, infrastructure, and continuous integration concepts., • Familiarity with CRDT technologies like Yjs., • Experience with using NLP/LLMs on clinical text., • Basic knowledge of clinical drug development

We are actively searching for a Data Infrastructure Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Your Rhythm: • Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security, • Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient, • Tackle complex challenges in distributed systems, databases, and AI infrastructure, • Collaborate with technical leadership to define and refine the product roadmap, • Write high-quality, well-tested, and maintainable code, • Contribute to the open-source community and engage with developers in the space Your Vibe: • 5+ years experience designing building distributed database systems, • Expertise in building and operating scalable, reliable and secure database infrastructure systems, • Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure, • Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB., • Programming skills in Python, • Passion for building developer tools and scalable infrastructure Our Vibe: • Relaxed work environment, • 100% paid top of the line health care benefits, • Full ownership, no micro management, • Strong equity package, • 401K, • Unlimited vacation, • An actual work/life balance, we aren’t trying to run you into the ground. We have families and enjoy life too!

IDR is seeking a Sr Technical Curriculum Developer to join one of our top clients for a fully remote opportunity. This role is within a fast-paced Technical Training Team, responsible for creating effective training content, across media, to enable customers and partners to deploy and use their platform. Position Overview for the Sr Technical Curriculum Developer: • Create a diverse range of learning materials, from written and video learning to interactive modules and job aids, tailored for self-service, live, and virtual instructor-led training., • Write clear and concise chapter narratives and develop real-world and use case-based examples, guided lab exercises., • 10+ years of building education curriculum and content development with strong instructional design principles., • 5+ years experience participating in customer-facing education development projects, • Prior experience providing thought leadership to sponsors/stakeholders while providing influence and Consultation, • Experience in graphics, templates, icons, and other multimedia throughout the instructional design process & eLearning development., • Strong working knowledge of MS Office Applications (word, excel, powerpoint), • Competitive compensation package, • Full Benefits; Medical, Vision, Dental, and more!, • 25+ Years of Proven Industry Experience in 4 major markets, • Employee Stock Ownership Program, • Dedicated Engagement Manager who is committed to you and your success., • Medical, Dental, Vision, and Life Insurance, • ClearlyRated's Best of Staffing® Client and Talent Award winner 12 years in a row. - Remote

Product Manager (AI Platform – Security & Automation) Location: San Francisco, CA 3 days on-site Slice Talent partered up Series B AI Security company on a mission to transform how enterprises manage and automate security operations at scale. Our AI-powered platform helps global organizations move from reactive, manual processes to proactive, intelligent security governance—driving faster decisions, stronger compliance, and operational resilience. Backed by top-tier investors and trusted by leading enterprises, we’re combining deep domain expertise with cutting-edge AI to solve some of the most complex challenges in enterprise security. The Opportunity We’re looking for Senior / Staff Product Managers to drive the next generation of our core platform—from 0 to 1 and beyond. This is a high-impact role at the heart of our growth stage, where you’ll define and execute product strategy for a rapidly scaling AI-native system used by large, complex organizations. You’ll work closely with Engineering, Research, and Design to bring new capabilities to life—balancing customer needs, advanced AI systems, and enterprise-grade reliability. It’s a rare opportunity to shape the trajectory of a company defining a new category in security and automation. What You’ll Do: Product Strategy & Delivery • Own the end-to-end product lifecycle—from vision and roadmap to release and adoption., • Define clear success metrics and deliver features that drive measurable business outcomes., • Build deep empathy for customer pain points through continuous engagement and discovery., • Maintain a sharp understanding of market dynamics and competitive landscape., • Partner closely with engineering teams to bridge AI capabilities with real-world enterprise needs., • Understand system architecture, APIs, and data models to make sound technical trade-offs., • Ensure our products deliver trust, accuracy, and transparency—core to our customers’ mission-critical workflows., • You’ll thrive here if you enjoy rolling up your sleeves, leading with curiosity, and driving clarity in fast-moving, technically complex environments. Must-Haves • 5+ years of product management experience in B2B SaaS, developer tools, or enterprise security., • Strong technical literacy—able to engage deeply on system design, data workflows, and AI/ML product behavior., • Proven ability to deliver high-impact products where reliability and precision are essential., • Experience partnering closely with engineering teams to shape and execute technical roadmaps., • Bias toward action: you write crisp specs, make fast decisions, and iterate based on evidence and customer feedback., • Excellent communication skills, with the ability to turn ambiguous feedback into actionable plans. Nice-to-Haves: • Experience with AI/ML-based products (e.g., LLMs, RAG, embeddings, or agentic workflows)., • Background in cybersecurity (AppSec, Cloud Security, SOC, or Red Team)., • Experience with developer ecosystems (CI/CD integrations, security automation, or SDKs)., • Strong technical writing or documentation skills. Why You’ll Love Working Here: • Momentum: We’re a fast-growing Series B company with strong product-market fit and top-tier backing., • Impact: Your work will directly shape how large enterprises secure and scale their operations., • Team: Collaborate with world-class engineers, researchers, and operators who care deeply about quality and impact., • Growth: A true 0-to-1 opportunity with clear ownership, autonomy, and space to innovate.

Director of Product, Fraud and Risk GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $27 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. We’re looking for a Director of Product to lead the fraud and risk function for our consumer products. This is a high-impact IC role today, responsible for architecting the systems, controls, and decisioning that protect our credit products, consumer payments, and homeowner experiences while maintaining a seamless, high-conversion user journey. You’ll own the strategy and the execution, bringing clarity to complex fraud and risk challenges. You’ll align partners around the right signals and defenses, and personally driving the roadmap that materially reduces losses. As the business grows, this function will expand, and this leader will play a critical role in shaping how the team and capabilities scale. The ideal candidate brings systems-level thinking, hands-on rigor, and the ability to operate at director-level altitude while still executing with precision in a fast-moving fintech environment. Essential Job Duties & Responsibilities: • Set and drive the end-to-end fraud and risk product strategy across credit products, consumer payments, and the homeowner app, delivering strong protection without compromising experience., • Own the roadmap for fraud detection and risk scoring systems, and partner closely with Engineering and Data Science to advance models, rules, and real-time defenses., • Partner with Security to strengthen identity and account integrity, shaping product-side risk controls (KYC/KYB, device intelligence, behavioral signals) that mitigate synthetic IDs, ATO, and mule activity., • Lead the strategy to prevent fraud-driven disputes and chargebacks by strengthening upstream controls, improving decisioning logic, and reducing opportunities for abuse before they reach Operations., • Analyze fraud patterns, model performance, losses, and false positives, and make sharp, data-driven decisions that reduce fraud while preserving customer experience., • Manage key vendor relationships and evaluate new technologies, signals, and platforms that can strengthen our fraud and risk defenses., • Collaborate with Compliance and Legal to ensure fraud and risk systems meet regulatory requirements and are audit-ready., • Communicate risks, trends, and mitigation plans to senior leadership with clarity, urgency, and high signal. Required Skills, Knowledge & Abilities: • 10+ years of fraud, risk, identity, or trust & safety product experience in fintech, banking, lending, payments, or consumer finance., • Proven success designing fraud/risk systems, working with DS/ML teams, and shipping high-impact risk products at scale., • Deep understanding of fraud vectors (ATO, synthetic identities, mule accounts, friendly fraud, credit abuse, chargebacks)., • Experience with KYC/AML, sanctions, adverse media, dispute regulations, and compliance alignment., • Strong analytical abilities, fluent with metrics, funnels, decision trees, and interpreting model outputs., • Ability to lead teams, influence senior stakeholders, and make crisp tradeoffs between risk mitigation and growth., • High-signal communication: clear, structured, authoritative. $230,000 - $260,000 a year In addition to the above salary, this role may be eligible for a bonus and equity.

You’ll work closely with engineering, analytics, and product teams to ensure data is accurate, accessible, and efficiently processed across the organization. Key Responsibilities: • Design, develop, and maintain scalable data pipelines and architectures., • Collect, process, and transform data from multiple sources into structured, usable formats., • Ensure data quality, reliability, and security across all systems., • Work with data analysts and data scientists to optimize data models for analytics and machine learning., • Implement ETL (Extract, Transform, Load) processes and automate workflows., • Monitor and troubleshoot data infrastructure, ensuring minimal downtime and high performance., • Collaborate with cross-functional teams to define data requirements and integrate new data sources., • Maintain comprehensive documentation for data systems and processes. Requirements: • Proven experience as a Data Engineer, ETL Developer, or similar role., • Strong programming skills in Python, SQL, or Scala., • Experience with data pipeline tools (Airflow, dbt, Luigi, etc.)., • Familiarity with big data technologies (Spark, Hadoop, Kafka, etc.)., • Hands-on experience with cloud data platforms (AWS, GCP, Azure, Snowflake, or Databricks)., • Understanding of data modeling, warehousing, and schema design., • Solid knowledge of database systems (PostgreSQL, MySQL, NoSQL)., • Strong analytical and problem-solving skills.

Trident Consulting is seeking a " React.js Developer " for one of our clients. " A global leader in business and technology services. Role: React.js Developer Location: Onsite – San Francisco, CA or San Ramon, CA Type: Contract Interview: In-person final interview required * Must Have Skills: Frontend Development (4–5 Years): • Strong coding experience in React.js, JavaScript (ES6+), HTML5, and CSS3, • Proficient in responsive UI/UX design and component architecture, • Hands-on experience with:, • Material-UI, Styled Components, Webpack, Rollup, Storybook, • React-Router-Dom (advanced knowledge: parent-child routing), • DOM manipulation and performance tuning, • Expertise in state management tools (Zustand, Redux, Context API) and custom hooks, • Experience with Azure Cloud services for frontend deployment, • Understanding of Module Federation and Micro Frontend architecture, • Knowledge of performance optimization for large-scale applications Non-Functional Requirements (NFR): • Strong understanding of Security, Performance, and Accessibility best practices Should Have: • Excellent communication and collaboration skills with global teams, • Good understanding of containerization (Docker) and application configuration, • Familiarity with caching strategies and optimization techniques Good to Have: • Experience with Next.js (SSR & SEO optimization), • Knowledge of DevExtreme DataGrid for large datasets and BI Dashboards, • Experience with ExcelJS for advanced data export functionality, • Hands-on experience in component library integration Trident Consulting is a premier IT staffing firm providing high-impact workforce solutions to Fortune 500 and mid-market clients. Since 2005, we've specialized in sourcing elite technology and engineering talent for contract, direct hire, and managed services roles. Our expertise spans cloud, AI/ML, cybersecurity, and data analytics, supported by a 3M+ candidate database and a 78% fill ratio. With a highly engaged leadership team and a reputation for delivering hard-to-fill, niche talent, we help organizations build agile, high-performing teams that drive innovation and business success. Learn more: ___. Some of our recent awards include: • Trailblazer Women Award 2025 by Consulate General of India in San Francisco, • Ranked as the #1 Women Owned Business Enterprise in the large category by ITServe

Senior Software Engineer Location: Remote or Hybrid Experience Level: Senior (7+ years) About the Role We’re looking for a Senior Software Engineer who thrives on turning conversations into actionable, user-focused solutions. You’ll work closely with stakeholders to deeply understand problems, identify root causes, and deliver thoughtful, high-quality software that stands the test of time. Requirements • 7+ years of experience designing, implementing, and testing software., • Strong fluency in core software design principles., • Experience with test-driven development (TDD)., • Familiarity with service-oriented architecture and distributed system fundamentals., • Excellent ability to communicate technical concepts clearly to both technical and non-technical audiences., • Bonus points for experience with Microservices, Pub/Sub, Event Sourcing, Eventide, and Message DB. Technologies We Use • Languages & Frameworks: Ruby on Rails, • Event-Driven Tools: Eventide, Message DB, • Databases: PostgreSQL, • Infrastructure: Kubernetes, Terraform, • Cloud: Azure

🚀 Backend Engineer – High-Growth AI SaaS Startup 📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite 💰 Salary: $200K–$325K + Meaningful Equity (1%+) Join an early-stage AI SaaS start-up creating an AI application builder that empowers business users to build custom applications where humans and AI collaborate seamlessly across enterprise systems. The company addresses complex enterprise challenges, including multi-day workflows, cross-system integrations (ERP/CRM/financial platforms), secure VPC hosting, and enterprise-grade observability, logging, identity, and compliance controls. About the Role We’re looking for a Backend Engineer to lead the development of backend systems and architecture. This is a rare opportunity to take ownership of core systems in an early-stage company, shaping architecture, scalability, and reliability from the ground up. You’ll tackle challenging problems like orchestrating multi-system workflows, processing large-scale data asynchronously, and safely executing AI-generated code — all while collaborating closely with the applied AI team. What You’ll Do • Design and build the core workflow engine — the orchestration layer connecting agents, data sources, and frontend views., • Develop and scale the TypeScript-based backend, handling asynchronous execution, retries, and deterministic routines., • Build and maintain integration layers for REST APIs, SQL sources, and third-party systems., • Collaborate with the applied AI engineering team to integrate automation and intelligence across systems., • Define and enforce best practices for backend architecture, reliability, and developer experience as the company scales. Who You Are (Must-Haves) • 4–15 years of professional software engineering experience., • Strong experience with TypeScript, Node.js, and modern backend architectures., • Experience designing complex data models and managing asynchronous tasks/workflows., • Prior experience working in early-stage startups or high-growth environments., • Experience integrating multiple systems, including REST APIs and SQL sources., • Excited by building scalable systems and comfortable in a startup environment., • Excellent problem-solving, collaboration, and communication skills. Nice-to-Haves • Experience building or integrating AI / LLM-powered applications., • Familiarity with Temporal or similar orchestration/workflow systems., • Exposure to other modern backend frameworks or cloud technologies (AWS, GCP, Kubernetes). Why Join? • Competitive salary: $200K–$325K + meaningful equity (1%+) in an early-stage company., • Work alongside experienced founders who have successfully scaled AI and enterprise SaaS products., • Shape the architecture and direction of a high-impact backend system used across complex workflows., • Be part of a small, highly motivated team at the forefront of AI and enterprise applications.

We are actively searching for a Distributed Systems Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Our office is located in downtown SF and we collaborate two days a week onsite. Your Rhythm: • Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security, • Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient, • Tackle complex challenges in distributed systems, databases, and AI infrastructure, • Collaborate with technical leadership to define and refine the product roadmap, • Write high-quality, well-tested, and maintainable code, • Contribute to the open-source community and engage with developers in the space Your Vibe: • 3+ years of professional distributed database systems experience, • Expertise in building and operating scalable, reliable and secure database infrastructure systems, • Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure, • Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB., • Programming skills in Python, • Passion for building developer tools and scalable infrastructure, • Available to collaborate onsite 2 days a week Our Vibe: • Relaxed work environment, • 100% paid top of the line health care benefits, • Full ownership, no micro management, • Strong equity package, • 401K, • Unlimited vacation, • An actual work/life balance, we aren’t trying to run you into the ground. We have families and enjoy life too!

Senior Backend Developer - Python $130,000 - $200,000 San Francisco, CA Hybrid Overview We’re looking for a seasoned backend engineer to help design and build the core systems behind our workspace platform. You’ll take ownership of designing efficient services and APIs, working closely with product and engineering peers to deliver reliable, scalable systems. This role is ideal for someone who enjoys writing clean, performant code and shaping the technical foundation of a fast-moving product. What You’ll Be Doing • Partner with product and technical teams to define and deliver backend capabilities., • Design and implement service components and APIs that handle complex business logic., • Work primarily in Python, using frameworks such as Flask to develop and extend our service layer., • Build integrations and data flows on top of our cloud infrastructure (AWS)., • Participate in architectural planning, technical reviews, and process improvements across the team. About You • 6+ years of professional software engineering experience, including substantial time spent on backend systems., • Expert-level fluency in Python, with hands-on experience using Flask to build production-grade APIs and services., • Solid understanding of AWS fundamentals and modern cloud-based design patterns., • Comfortable designing for performance, scalability, and maintainability., • Pragmatic problem-solver with strong technical judgment and attention to detail., • Experience in enterprise SaaS or insurance platforms is a plus. Nice to Have: • Experience working at companies with small teams.

Full Stack Software Engineer (React / Node.js / Python) Hybrid | Remote-friendly | San Francisco Bay Area Base: $200,000–$300,000 + meaningful equity + top-tier benefits About the Company We’re a fast-growing AI/ML company building products that are pushing the frontier of what intelligent systems can do in the real world. Our platform sits at the intersection of cutting-edge machine learning, delightful product experiences, and serious engineering craft. If you like working on hard problems with a team that ships quickly and thinks deeply, you’ll fit right in. The Role We’re looking for a Full Stack Software Engineer who’s excited to build polished, high-performance products from the UI down to the backend services and ML integrations. You’ll work across React frontends, Node.js APIs, and Python-based AI/ML systems to deliver experiences users love. You’ll be part of a small, senior, highly collaborative engineering group—meaning high ownership, high trust, and high impact. What You’ll Do • Build and ship user-facing features end-to-end across React (frontend), Node.js (backend), and Python (AI/ML services)., • Design and implement APIs, data flows, and real-time systems that support intelligent product experiences., • Collaborate closely with ML engineers to integrate models into production-grade applications., • Own architecture decisions and contribute to technical direction as we scale., • Write clean, testable, maintainable code with a strong bias toward shipping. Must-haves: • 4+ years of full stack experience shipping production software., • Strong React skills (modern React, hooks, state management patterns)., • Strong Node.js / JavaScript backend experience (REST/GraphQL, services, APIs)., • Solid Python experience, especially for data/ML-adjacent systems or services., • Experience building end-to-end workflows with a focus on product quality., • Experience deploying ML-powered features (LLMs, RAG, embeddings, model APIs)., • Familiarity with TypeScript, Next.js, and/or real-time systems., • Experience with cloud infrastructure (AWS/GCP/Azure), Docker, Kubernetes., • Background in performance optimization for high-scale web apps., • Frontier work: You’ll build AI-native software that doesn’t exist anywhere else yet., • High ownership: You’ll own major slices of product and architecture., • Top compensation: $200–300k base + equity that actually matters., • Hybrid flexibility: Remote-first culture with 1–2 onsite days/week for collaboration., • Frontend: React, Next.js, TypeScript, modern UI tooling, • Backend: Node.js, JavaScript/TypeScript, APIs (REST/GraphQL), • ML/AI: Python services, model pipelines, LLM integrations, • Remote-friendly, but must be based in the San Francisco Bay Area., • Base salary: $200,000–$300,000 (depending on level/fit), • Equity: meaningful, early-stage upside, • Benefits: top-tier medical/dental/vision, flexible PTO, WFH stipend, and more

Are you an experienced Platform Engineer, looking to jump into a once in a lifetime opportunity? Join a fast-growing, Series A company building the next hyperscaler for AI agents, a cloud platform where AI applications can build other software. This highly technical role is critical for the core product, focusing on the design and performance of secure, isolated, and incredibly fast cloud computer runtimes. We are looking for a skilled developer with a diabolical obsession for optimizing systems to run fast and efficiently at massive scale, who is eager to take full ownership of projects from initial concept to delivery. This is your chance to define the foundational infrastructure for the future of AI development, backed by tens of millions in funding. An opportunity like this has huge upside potential. You have the opportunity to get into a small startup, before the company dramatically increases in size. Responsibilities • Design and Architect the core backend and cloud infrastructure (Distribution Systems) that powers the AI agent platform., • Performance Optimization of runtimes and sandboxes for LLMs, utilizing VM hypervisors (Firecracker/gVisor) to ensure ultra-low latency., • Systems Mastery: Solve complex distributed systems challenges at scale, leveraging Kubernetes/Nomad and deep Linux expertise. Must-Haves • Non-Negotiable Languages: Deep production experience in Golang, Python, and TypeScript., • Scale: Proven ability to build and operate distributed systems infrastructure., • Linux/Virtualization: Expertise in Linux internals and experience with VM hypervisors (Firecracker/gVisor). If this sounds of interest, please apply below! We have interviews lined up next week, so be quick! Salary: $180 - $250k + Equity

Greylock has a history of creating category-defining companies in the enterprise. We're privileged to invest in a series A startup focused on a vital developer tool for the evolving AI product landscape. The mission is to revolutionize how organizations utilize their knowledge by building cutting-edge AI-powered agents/tools to enhance enterprise knowledge workflows. As a Lead Product Manager, you will play a pivotal role in shaping the future of our products, ensuring they meet the needs of developers. Ideal Experience: • Deep understanding of developer tools and developer pain points, • Domain understanding of AI and AI agent use cases, • Customer obsession and consultative mindset, • Ability to navigate ambiguity and drive results, • Collaborative spirit and eagerness to help others succeed Responsibilities • Drive Product Vision & Strategy: Define and execute the product roadmap for our core offerings, balancing developer-centric innovations with enterprise needs., • Lead End-to-End Execution: Oversee product lifecycle stages from ideation to launch, iterating quickly based on user feedback and data insights. This involves personally test driving your products end to end, writing documentation where needed etc. Qualifications • Experienced Leader: 4+ years of product management experience, including ownership of developer-facing tools or enterprise SaaS solutions., • Technical Aptitude: Strong understanding of APIs, SDKs, and Dev tools. Familiarity with AI/ML is a plus. Strong preference with this person being hybrid in SF but currently open to remote for the right candidate. Further details will be disclosed to eligible candidates. Keywords: Fivetran, Databricks, Confluent, Datadog, Graphana About Greylock: Greylock is an early-stage investor in hundreds of remarkable companies, including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, and Palo Alto Networks, among others. More can be found about us here: About the Greylock Recruiting Team: As full-time, salaried employees of Greylock, we provide free candidate referrals/introductions to active and upcoming investments to help them grow/succeed (as one of the many services we provide). Our recruiting team, combined, has over 125 years of in-house recruiting experience at successful startups through FAANG’s and over 30 years of VC Talent.