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URBN is hiring a Staff Engineer (GenAI) to join the development of AI-powered visual experiences, with a primary focus on building and operationalizing image and video generation systems. We are looking for an experienced engineer to join our mission of integrating generative AI solutions with creative tools and production workflows. In this role, you will own the engineering side of multi-model generative pipelines, turning research prototypes into reliable, scalable services that power AI-first innovations across our digital ecosystem. You will collaborate with a talented cross-functional team comprising data scientists, UX designers, product managers, creative partners, and domain experts to deliver significant business impact. This role will focus on making generative systems robust, efficient, and production-ready. The ideal candidate brings deep software engineering fundamentals, comfort with agentic AI tooling, and enough generative AI fluency to wrangle prompts, orchestrate multi-step visual workflows, and reason about output quality, even if they are not the one doing final model tuning or evaluation design. If you are energized by the intersection of software engineering and generative AI, and you want to build the infrastructure and tooling that turns cutting-edge image and video models into real products, we invite you to help shape the future of intelligent, AI-native creative experiences at URBN. Responsibilities: • Design, build, and optimize image and video generation pipelines (generation, inpainting, upscaling, style transfer, conditioning, post-processing) into production-ready, observable services with attention to cost, latency, and throughput., • Design and develop agentic workflows (ADK, A2A, LangGraph, or similar), MCP servers (FastMCP or similar), and microservices (FastAPI, GraphQL, or similar) to orchestrate and serve generative AI capabilities at scale., • Develop prompt management systems and structured prompting strategies for consistent visual output, learning on the job how to wrangle prompts for fashion-specific and virtual try-on use cases. Engineer consistency mechanisms and quality gates in partnership with data scientists who own evaluation methodology., • Integrate multimodal and vision-language models into production workflows for image understanding, automated tagging, captioning, and quality pre-screening., • Collaborate with Product Designers, Product Managers, Data Scientists, and other Engineers to translate brand and business needs into scalable generative AI solutions. Evaluate new technologies, models, and vendors through proof-of-concept studies., • Implement and maintain ML architecture, including pipelines and applications that enable training and inference of generative models in production. Champion best practices in full-stack algorithm engineering. Qualifications: • Generative AI Systems: 1+ year of hands-on experience building or operationalizing image generation systems (diffusion models, multimodal pipelines) in a professional applied context. Working familiarity with the rapidly evolving landscape of image and video generation models and orchestration patterns., • AI-Augmented Development & Agentic AI: Proficient with AI-powered development tools (e.g., Cursor, VS Code Copilot, Claude Code, or Gemini). Experience designing agentic workflows or AI orchestration systems using LangGraph, ADK, A2A, CrewAI, or similar. Familiarity with MCP (Model Context Protocol) is a strong plus., • Python & ML Frameworks: Strong proficiency in Python, with practical experience using PyTorch and/or Hugging Face for model serving, fine-tuning support, and inference optimization., • APIs, Distributed Systems & Cloud: Strong background in scalable RESTful APIs, microservices architecture, and high-availability distributed systems. Proficiency with Docker, container orchestration, cloud-native services, and cloud-based AI infrastructure. Experience with Terraform or similar IaC tooling., • Engineering Practices: Dedication to CI/CD pipelines, TDD, and automated code quality standards. Excellent communicator who can bridge technical, data science, and creative teams. Comfortable with ambiguity and minimal oversight., • Education: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience. Nice to Haves • Experience with video generation models, or with fashion/retail/e-commerce applications of generative AI such as virtual try-on, AI product photography, or on-model image generation., • Experience building tooling and orchestration for model fine-tuning workflows (LoRA, DreamBooth, ControlNet, IP-Adapter, textual inversion), enabling data scientists to iterate quickly on adaptation techniques., • Background in computer vision fundamentals (segmentation, detection, embeddings) or LLM evaluation frameworks for generative outputs., • Experience with prompt engineering at scale, creative design tools (Adobe Photoshop, Firefly, Figma), or data pipeline orchestration (Airflow, dbt, or similar).

Overview ABOUT THE POSITION VHB is seeking a skilled and forward-thinking Intelligent Transportation Systems (ITS) Traffic Engineer to join our expanding Transportation Technology Group in the Northeast region with hybrid opportunities in our Pennsylvania Offices. In this role, you'll be a key contributor to the planning, documentation, design, and construction support of advanced ITS infrastructure and traffic design. VHB proudly offers a Hybrid Work Model, giving our employees the flexibility to thrive both in the office and through remote work-where productivity and creativity are at their best. RESPONSIBILITIES Lead the development of ITS Design Plans Perform task management to deliver a wide variety of ITS projects Prepare technical specifications and construction cost estimates Develop electrical one-line diagrams and conduct electrical system calculations Create communication diagrams and fiber splicing plans Develop key systems engineering documentation, including: Concept of Operations (ConOps) Systems Engineering Report (SER) System Requirements Conduct field work such as data collection and site investigations Coordinate with clients, project stakeholders, and multidisciplinary teams Support business development and marketing efforts Manage and mentor junior staff in the successful delivery of project tasks SKILLS AND ATTRIBUTES Experience in ITS design and/or system development which could include: ITS Site Plans and Construction Details Communication plans Network planning/architecture Proficient with data analysis tools such as Excel Familiarity with design platforms including OpenRoads Designer (ORD), MicroStation, and AutoCAD Excellent communication skills-written, verbal, and interpersonal Collaborative team player with the ability to work independently Self-driven with a strong work ethic and passion for continuous learning Ability to manage multiple projects and deliver high-quality work on time QUALIFICATIONS Bachelor's degree in Civil, Systems, or Electrical Engineering required; a focus in the field of Transportation is preferred A Master's degree may substitute for 2 years of professional experience 5+ years of ITS engineering experience required Familiarity with state DOT processes and standards preferred Professional Engineer (P.E.) License required or ability to obtain within 6 months. Our best estimate of the salary range for this position located in Pennsylvania is $90,000-125,000. This offer is determined based on a number of job-related factors including internal comparators, skills, education, training, credentials, experience, scope and complexity of role responsibilities and geographic location. In addition, VHB offers a holistic benefits package which can be found here. We are VHB! We're an inspired and innovative team of engineers, scientists, planners, and designers who partner with clients in the transportation, real estate, institutional, and energy industries, as well as federal, state, and local governments. Our work helps improve mobility, enhance communities, and contribute to economic vitality. We do this while balancing development and infrastructure needs with stewardship of our environment. Our people make us great! VHB provides a differentiating employee experience, which includes: Diverse and inclusive culture of collaboration and innovation Opportunity to work on complex, transformational projects Community and social responsibility as sustainable stewards Focus on learning, development, and career growth * Best-in-class benefits, including flexible, hybrid workplace We are consistently rated one of the top AEC firms to work for across our 30+ offices on the East Coast. We're growing, and we hope you'll join us! VHB is a proud Equal Opportunity Employer. Since our founding, we have intentionally fostered a culture of inclusion and belonging, supported by deep-rooted core values, one of which is diversity. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by law. #LI-KW1 #LI-Hybrid

Trellis is rewriting the insurance experience from the inside out. We’re the tech company behind Savvy, our licensed insurance agency, and we’re bringing clarity and ease to a space known for… the opposite. With powerful tools, clean design, and a customer-first mindset, we’re making insurance shopping refreshingly effortless. We’re a profitable, fast-growing Series A startup backed by General Catalyst, QED, NYCA, and Amex Ventures. As a remote-first team, we move quickly, experiment boldly, and build with intention. If you’re craving meaningful impact, energized by ambiguity, and are ready to build alongside exceptional teammates, you’re going to love doing your best work at Trellis. The Opportunity As a Senior Software Engineer on the Conversational AI team at Trellis, you’ll play a critical role in shaping the future of our AI-driven customer experiences. You’ll architect and build intelligent systems that power natural, engaging conversations between users and our platform. Working closely with cross-functional partners, you’ll transform high-level product initiatives into scalable, well-tested technical solutions. You’ll lead the way on complex projects by defining scope, setting technical direction, and mentoring teammates along the way. You’ll guide the team through tough challenges, offer thoughtful code reviews, and contribute to a culture of continuous learning and collaboration. Whether you're onboarding new teammates or refining our LLM-driven infrastructure, you’ll be a key force behind our AI innovation. You will report directly to John Hartley, Head of Conversational AI Engineering. Guide your team in delivering high quality, well tested technical solutions providing technical and project oversight Lead by example through the quality of your code and your approach to your work Own projects through the entire software development lifecycle - from planning and development to validation, iteration, and maintenance Translate conceptual work into well-crafted tech plans for review by technical leadership and key stakeholders Leverage your understanding of the business and engineering strategies to design experiments and high-value projects that impact the work your team is doing Expertly navigate complex systems and domains to identify key challenges and create plans to address them Own system quality and hold your team members accountable through constructive and actionable feedback Level up the team through code review feedback and knowledge sharing sessions Assist in the onboarding of new engineering hires 5+ years’ experience developing software in a production environment 2+ years’ experience in a senior engineer role Production experience with Node.js and Typescript Proven experience working in backend systems, designing RESTful APIs and codifying business logic on top of data stores Exceptional ability to communicate clearly and concisely, particularly in Slack and technical documents Experience in product development where you were a key decision maker Deep expertise in system architecture and design Proven success in operational excellence Cross-functional leadership and collaboration experience Familiarity with cloud environments, especially the Google Cloud stack Meticulous: You pay attention to detail and take pride in what you deliver Articulate: You succinctly and effectively communicate verbal and written technical and non-technical ideas and topics Kind, not (just) nice: You provide tough feedback in a clear and concise manner that does not diminish or belittle the recipient Opinionated: You bring strong opinions to discussions but are willing to change your mind when presented with new or better information Product-minded: You focus on the “why” just as much as the “what” or “how” Collaborative: You work within your team and cross-functionally to build consensus and achieve results Autonomous: You are self-motivated, able to hold yourself accountable, and can generate high-value work with little direct supervision We’re a group of curious, mission-driven humans rewriting the insurance experience and having a lot of fun along the way. At Trellis, you’ll make a real impact on a product millions rely on, and grow alongside a company that’s scaling fast. ✨ A transparent, collaborative culture where ideas win, not titles 🚀 Big opportunities to take ownership and chart your growth 💰 Competitive compensation (75th+ percentile) 🏡 Fully remote across the US & Canada 🎉 Quarterly virtual and/or in-person events that keep us connected 🌴 Flexible vacation (yes, actually flexible) 🩺 Health insurance starts day one 🧘 Wellness programming, because balance matters 💸 401(k) and HSA contributions, FSAs, bonuses & equity opportunities 🐣 Paid parental leave 👉 If you want a role where you’ll grow, be trusted, and build something that genuinely improves people’s lives, Trellis is the place. Join us. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Note: all employees must complete a background check prior to starting employment with Trellis or its subsidiaries

Lots of tech companies disrupt. But, many fail when they try to scale. We're different. CockroachDB makes it easier for companies to build and scale apps. This is how and why we're helping some of the most innovative companies on the planet. We tackle problems head-on and focus on solutions that create lasting impact. Our Customer Success Managers are trusted advisors to enterprise customers, owning the relationship from onboarding through long-term value realization. Partnering closely with Sales, they build credibility and influence by acting with urgency, advocating internally for the customer, and driving alignment across teams. In this role, you own the customer’s path to value realization. You translate business goals into clear success criteria, manage critical milestones, and ensure customers achieve tangible value from CockroachDB while proactively managing risks, renewal health, and identifying expansion opportunities. Our Customer Success Managers require strong program management skills and the ability to coordinate multiple workstreams simultaneously. While not a technical role, CSMs must develop deep product knowledge, understand database technologies and the competitive landscape, and confidently connect customer pain points to effective solutions. You must be based in Toronto, NYC or Austin to be eligible for this role. • Own 8–12 strategic accounts end to end, including onboarding, adoption, health, risk management, renewals, and expansion., • Define and execute Customer Success Plans aligned to customer business objectives, usage, ROI, and time-to-value., • Lead Executive Business Reviews, presenting outcomes, risks, and recommendations to senior and C-level stakeholders., • Manage enablement and technical rollout initiatives, coordinating with Engineering, Product, Support, and Professional Services to remove blockers., • Serve as the primary point of coordination across the account team (Account Executive, Sales Engineer, Support, and Services) to ensure seamless customer coverage., • Develop a deep understanding of customer business needs and translate them into technical and operational requirements for Cockroach Labs., • Proactively identify, qualify, and partner with Sales on expansion opportunities to grow ARR., • Monitor customer health and product consumption, recommending upgrades or enhancements to increase value and adoption., • Track, forecast, and report on key success metrics, including renewal risk, NRR, churn, CSAT/NPS, and time-to-value., • Design and continuously improve scalable Customer Success processes, playbooks, health models, and reporting. In your first 30 days, you’ll ramp quickly on CockroachDB, its core architecture, strengths, and best-fit use case so you can confidently speak to customer problems and solutions. During this time, you’ll also focus on building strong internal relationships across Sales, Product, Engineering, and Support, learning how to navigate the organization and mobilize the right resources to support customers effectively. By 60 days, you’ll begin actively participating in day-to-day CSM tasks, shadowing ongoing customer engagements and taking ownership of defined portions of account governance. This includes contributing to customer meetings, tracking action items, identifying risks, and supporting adoption and enablement efforts alongside the broader account team. After three months, you’ll independently own a portfolio of accounts, lead customer conversations, and drive execution against Customer Success Plans. You’ll proactively identify risks and expansion opportunities, run Executive Business Reviews, and coordinate cross-functional teams to ensure customers are realizing measurable value from CockroachDB. • 6 - 8 years of experience as a Customer Success Manager, Project Manager or Technical Account Manager with a proven success record, • 3+ years of experience managing high-value, strategic accounts, • Experience working with sales teams, • Knowledge of databases, distributed systems, and modern enterprise software architecture, • Successful track record of driving product adoption and expansion through understanding the customer's current (and future) database requirements Cockroach Labs is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce. If you need additional accommodations to feel comfortable during your interview process, please email us at _. Cockroach Labs has a hybrid work model, with Roachers that are local to one of our offices coming in on Mondays, Tuesdays, and Thursdays and working flexibly the rest of the week. While we’ve learned valuable lessons working remotely, nothing can replace the connection, creativity, and fun that occurs when Roachers get together and we are committed to fostering a workplace that encourages collaboration and allows us all to do our best work. • Stock Options, • Medical Insurance, • Vision Insurance, • Dental Insurance, • Life and Disability Insurance, • Professional Development Funds, • Flexible Time Off, • Paid Holidays, • Paid Sick Days, • Paid Parental Leave, • Retirement Benefits, • Mental Wellbeing Benefits, • And more! The annual anticipated base salary range for U.S. candidates for this role is listed in USD below. This role is also eligible for commission. Salary is one component of the Cockroach Labs’ Total Rewards package, which also includes, for each employee: stock options, medical insurance, vision insurance, dental insurance, life and disability insurance, funds towards professional development resources, flexible paid time off, 11 paid holidays a year, 10 paid sick days a year, paid parental leave, a 401(k) plan, and wellbeing benefits. We set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. Actual salaries may vary and fall outside of this range depending on factors such as a candidate’s qualifications, geographic location, skills, experience, and competencies. In addition, we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. Salaries for candidates outside the U.S. will vary based on local compensation structures. This position will remain posted until filled. Applicants should apply via our Careers Page. Annual Anticipated Base Salary Range (U.S)$145,000—$160,000 USD

About Us We are a growing company that distills insights from satellite imagery and various other geospatial data sources into actionable intelligence for energy companies, financial market actors, and government agencies. We are looking for an experienced engineer to join our technical team and help shape our product trajectory. The Role We are looking for a Senior Full-Stack Engineer who embraces AI agents to supercharge their workflows. Partnering with other developers on large-scale projects, you will leverage your deep technical expertise to rapidly prototype and develop solutions across our backend and frontend systems to power our products. Key Responsibilities System Architecture: Design scalable near-real-time data streams, integrating data from multiple sources into analytics pipelines and relational databases.Data Management and Access Optimization: Improve robustness and performance of our SQL DB setup to facilitate high performance inserts of our data streams and API reads for our customersData Visualization: Ensure vast quantities of geospatial and tabular data are visually explorable in a reproducible, performant format.Accelerate Development: Utilize AI coding agents to assist in the Software Development Life Cycle (SDLC) and help establish best practices for agentic workflows.Cross-Functional Support: Work alongside software engineers and data scientists, providing programming and infrastructure support for MLOps and data science initiatives.Technical Direction: Help shape our engineering direction by implementing robust data management practices and staying current on emerging technologies in data processing.Ensure Code Quality: Refactor, profile, and optimize codebases. Implement rigorous integration testing, debugging, and deployment automation for cloud microservices. The Tech Stack Cloud: Google Cloud Platform (GCP)Backend & Data: Python (API First), PostgresFrontend & Middle-Tier: TypeScript (React) • Work Authorization: Must be a US Citizen or US Permanent Resident., • Location/Timezone: Must be located and working within Central Time (CT) or Eastern Time (ET) zones (no West Coast/Pacific Time)., • Education: BS degree in a STEM field., • Experience: 4+ years in a full-stack software engineering role, with a strong focus on data engineering., • Cloud Experience: 2+ years of hands-on experience in modern Cloud Systems (GCP, AWS, or Azure)., • Core Languages: Production-grade proficiency in Python and TypeScript., • Technical Expertise: In-depth understanding of software engineering best practices, performant frontend interfaces, relational database design/optimization, and scalable API design., • AI Workflows: Experience with (or a strong, demonstrated interest in) adapting the SDLC for AI-assisted development., • Communication: Strong communication and coordination skills tailored for a distributed team environment spanning US and UK., • Domain knowledge in the Energy, Oil & Gas sectors., • Experience with geospatial data processing tools and databases., • Familiarity with additional languages, such as Go, Rust or C#., • Compensation: Competitive salary and comprehensive benefits (medical, dental, vision)., • Growth: Opportunities for career advancement as technical team member., • Flexibility: A fully remote role within a collaborative environment, plus optional access to our Houston office., • Impact: Direct involvement in products utilized by major players in the energy sector and government., • Continuous Learning: Mentorship from technical leaders How To Apply Please submit your resume and relevant project portfolios or GitHub repositories. We are particularly interested in examples where you have built scalable APIs, integrated diverse data sources, or developed internal tooling. Note: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

At Serko, we believe something incredible happens when people come face-to-face. That’s why we’re on a mission to engineer a frictionless, next-generation business travel marketplace. We don’t just manage travel; we are leveraging advanced AI and cutting-edge tech to eliminate the complexity of global movement. When you join Serko, you join a global collective of passionate technologists who show up as their true selves to build world-class products. With established hubs across New Zealand, Australia, North America, India and China - your code and ideas will impact millions of corporate travelers worldwide. If you're ready to challenge the status quo and build the future of travel tech, your next journey starts here. We’re hiring 2 x Senior Full Stack Engineer to own the end-to-end development of our next-gen AI products. You'll bridge the gap between complex AI capabilities and beautiful user experiences, developing the customer-facing features, high-performance APIs, and reliable backend services that make intelligent, autonomous workflows reality. • Build Meaningful Experiences: Partner closely with a cross-functional team of designers, product managers, and ML engineers to shape and deliver thoughtful, high-quality AI-powered user experiences., • Bridge Frontend & Backend: Co-create and refine full-stack features, utilizing React/Next.js for intuitive frontends and Python or Node.js to power robust, reliable backend services., • Bring AI to Life: Integrate LLM APIs and innovative agentic frameworks into fluid product features—crafting interactive streaming UIs, clear tool-call results, and helpful agent status displays., • Design Accessible Connections: Cultivate and maintain clean REST and/or GraphQL APIs that seamlessly support user data, smooth session management, and helpful agent interactions., • Champion Quality Together: Write thoughtful unit, integration, and end-to-end tests to ensure product excellence, and engage in constructive, supportive code reviews that help the whole team grow., • Support Team Resilience: Contribute to a shared, collaborative on-call rotation, working as a team to support production systems, document thoughtful learnings, and keep our platform running smoothly., • Shape Our Technical Future: Share your unique perspective in architectural discussions and contribute technical proposals that help our systems scale sustainably., • A Passion for Full-Stack & AI: Deep, hands-on experience building full-stack applications, with a special focus on native AI stack development., • Core Technical Comfort: A strong foundational comfort with TypeScript (React, Next.js) on the front end, paired with Python and SQL on the backend., • AI Integration Experience: Experience successfully bringing AI to life in production, specifically by integrating with LLM APIs or crafting intuitive AI-powered features., • Thoughtful System Design: A clear understanding of RESTful API design, database management (such as PostgreSQL or Redis), and cloud ecosystems., • An Eye for Real-Time UX: Familiarity with creating smooth, real-time user experiences using streaming responses (like SSE or WebSockets) so our AI feels fluid and responsive., • DevOps Awareness: Comfort collaborating on continuous integration and delivery (CI/CD), containerization (Docker), and smooth cloud deployments., • Empathetic Communication: Highly developed communication skills and a natural ability to listen, share ideas, and partner effectively within a cross-functional team., • If you have experience in any of these areas, that’s wonderful! If not, we are excited to support your learning on the job:, • Familiarity with agentic frameworks like LangChain or LangGraph., • Exposure to building vector search or RAG-based capabilities., • A background or interest in crafting interactive interfaces like chat, copilots, or workflow automation tools. At Serko, we aim to create a place where people can come and do their best work. This means you’ll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact. Some of the benefits of working at Serko are: • A competitive base pay, • Medical Benefits, • Discretionary incentive plan based on individual and company performance, • Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways, • Flexible work policy, • The pay range is between $152,000 - $230,000 USD as a base salary offering annually. A Note on Work Authorization: Applicants must be authorized to work for any employer in the U.S. At this time, we are unable to provide sponsorship or assume sponsorship for employment visa status (e.g., H-1B visa status).

Role at a glance What: As a Senior Platform Engineer, you'll own and scale the backend systems and data infrastructure that power Rally's core product — enabling our platform to handle hundreds of millions of participant records, billions of events, and the next generation of AI-native research workflows. Impact: Your work will directly determine how fast Rally's product can move. You'll strengthen the systems that every product engineer builds on and ensure our platform can support the ambitious roadmap ahead. Team: You'll join our Platform Engineering team — a small, high-ownership group responsible for the reliability, scalability, and developer experience of Rally's core backend. Work style: Remote-first within the United States, with regular async collaboration and optional in-person team onsites. About Rally UXR Rally is the User Research CRM that helps product, design, and research teams talk to their users quickly, safely, and at scale. Our platform automates the unglamorous parts of research—participant recruitment, outreach, screening, scheduling, consent, and incentives—so teams can spend more time learning from customers and less time wrestling with manual workflows. We're now building Rally's next chapter: an AI-native platform that handles the full research recruiting lifecycle, end to end. Trusted by teams at Google, Adobe, Figma, GitLab, Webflow, and others. Backed by Y Combinator, Stage 2 Capital, and Canapi Ventures. About the team Rally Engineering is a highly collaborative, user-obsessed group focused on making research smoother for both our customers and their participants. We work closely with UX Researchers, Research Ops leaders, designers, and product managers at some of the world's most user-centric companies. We use Rally to build Rally — talking to our own users frequently, running studies on our platform, and feeding insights straight into the roadmap. We favor small, empowered teams, high ownership, and a tight feedback loop between customers, product, and engineering. The opportunity Rally is in the middle of a massive shift in how companies run user research: from ad-hoc, one-off projects to continuous learning that informs every product decision. In this role, you'll help define what that future looks like — for Rally as a product and for the teams who rely on us to run research at scale. You'll join at a stage where we have strong product-market fit, a fast-growing customer base, and plenty of hard, interesting problems left to solve. Rally's platform team owns the critical systems that power everything from participant outreach and scheduling to AI-driven research workflows. As we scale and build out our agentic platform, we need a strong backend generalist who can take ownership of high-impact systems and help the team move faster and with more confidence. What you'll do Own and scale critical backend systems — including data sync pipelines, search APIs, email/SMS delivery, and workflow automation — with a focus on reliability and operational excellence. Drive platform-level projects that unlock new product capabilities: activity feeds, custom objects, rate limiting, tenant isolation, and data enrichment integrations. Collaborate closely with product engineers to identify and eliminate platform bottlenecks, improving the velocity and reliability of feature development across the team. Participate in the shared platform on-call rotation and lead post-incident reviews, improving system observability and resilience over time. Help shape the backend foundation for Rally's agentic platform — ensuring our core systems can support AI agents running research workflows at scale. Influence architectural decisions and establish engineering standards across the backend stack. Mentor engineers through code reviews, technical design discussions, and day-to-day pairing as the team grows. What you'll bring 6+ years of experience building and operating complex backend systems in production, ideally at a startup or high-ownership environment. Strong TypeScript/Node.js fundamentals with hands-on experience in a fully TypeScript codebase. Deep experience with AWS managed services (ECS/Fargate, RDS/Aurora, MSK) and modern cloud-native architecture patterns. Experience with event-driven systems and streaming infrastructure (Kafka or equivalent). Proven track record of owning significant technical areas end-to-end — from design through implementation, rollout, and ongoing operation. Strong understanding of observability (metrics, logs, traces) and comfort with on-call responsibilities and production incident response. Excellent communication skills and a collaborative mindset — excited to partner with product, design, and go-to-market teams, not just other engineers. Nice to have Familiarity with workflow orchestration systems (e.g., Temporal) or distributed systems patterns. Experience with Elasticsearch or similar search infrastructure at scale. Exposure to AI-native product development or agentic workflow patterns. Experience as an early or founding member of a platform team — building standards and norms from scratch. Familiarity with GraphQL APIs and the Prisma ORM. If you're excited about Rally and this role but don't meet every requirement, we'd still encourage you to apply! We're interested in what you can do, not just what you've done. How we work Rally is a remote-first company with teammates across the US and Canada. We default to async communication, use clear written documentation to keep everyone in the loop, and reserve meetings for collaboration, decision-making, and relationship building. Remote-first: Work from anywhere in the US, with core collaboration hours that overlap across US time zones. In-person connection: We bring people together for periodic team or company onsites to build relationships, do deep-dive strategy work, and celebrate wins. High ownership: You'll have real responsibility from day one and a lot of trust to figure out the best way to get to outcomes. Customer-driven: We talk to users constantly and use those insights to drive decisions across Product, Design, Engineering, and Go-To-Market. AI-native: We're building an AI-native product and operating like one internally. We expect everyone at Rally to be actively experimenting with AI tools, challenging how they work, and finding ways to move faster. Compensation & benefits Base salary range (US): $185,000 – $210,000 USD per year. This range reflects the minimum and maximum target for new hires in this role across the United States. Within the range, individual pay is determined by factors such as job-related skills, experience, and location. Additional compensation: This role is eligible for variable compensation (such as equity awards) in accordance with Rally's applicable plans. Any such compensation is not guaranteed and is determined at Rally's discretion under the terms of those plans. Benefits for US-based full-time employees currently include: Competitive compensation and meaningful equity Flexible / unlimited PTO policy Medical, dental, and vision insurance Parental Leave 401(k) retirement plan Home office set-up support Monthly remote work stipend Quarterly in-person team or company gatherings Benefits may vary based on role, level, and location, and are subject to change as Rally grows. Our hiring process While the exact steps can vary by role, here's what you can generally expect: Initial conversation: A short call with our recruiting team to learn more about your background and share more about Rally. CTO interview: A deeper conversation about the role, your experience, and what success looks like in the first 6–12 months. Technical coding challenge: problem solving exercise with two different engineers. Our coding exercises will be based on challenging real world product problems rather than leetcode like questions. You'll be expected to use Javascript/Typescript to work across both the frontend and backend (API and DB level). System Design Challenge Team and cross-functional conversations: Time with leadership and/or key partners to answer your remaining questions. We'll share details at each stage so you know what's coming and how to prepare! Rally strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity across our team. Our salary ranges are based on competitive market data for our size, stage, and industry, and may adjust over time as the market evolves. Rally is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, veteran status, or any other legally protected characteristic. We're committed to providing reasonable accommodations to candidates with disabilities throughout the application and interview process. If you need support or an adjustment at any point, please email us and let us know how we can help. This job description is intended to describe the general nature and level of work for this role. It is not a complete list of all responsibilities, duties, and skills required. Employment with Rally is "at will," which means either you or Rally may terminate the employment relationship at any time, with or without cause or notice, subject to applicable law.

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to _. Job Title: Founding Engineer - Backend & Data Platform Salary: $175,000 - $225,000 + Equity Company Description: Greenline - Fast-growing fintech startup Job Description: As a Founding Engineer, you will architect the foundational data platform that unlocks mortgage lending for 16.5 million self-employed Americans. You'll build resilient ingestion pipelines for banking and tax data, design scalable microservices in Postgres, and enable ML-driven insights that transform hours of manual review into minutes of automated processing. Location: San Francisco, Austin, NYC, or Remote, USA Why this role is remarkable: Take 0→1 ownership of a greenfield data backbone at a nimble, high-agency startup composed of former Airtable and Opendoor engineers. Directly impact the lives of millions of underserved borrowers by automating complex non-QM mortgage underwriting through innovative AI-driven infrastructure. Receive a founding team title with an aggressive equity package and high architectural influence over the entire product lifecycle and technical roadmap. What you will do: Design and implement robust data ingestion and normalization pipelines for third-party financial sources like Plaid, the IRS, and accounting platforms. Architect performant backend systems for asset serving, authentication, and complex relational data modeling using Postgres and GraphQL. Productionize ML-driven signals by implementing feature extraction pipelines and integrating classification and anomaly detection models into core workflows. The ideal candidate: Proven experience building and operating event-driven data systems and complex APIs at early-stage startups where they wore many hats. Expert-level proficiency in relational database design and a deep understanding of data correctness, auditability, and long-lived data contracts. Practical familiarity with ML fundamentals including feature engineering and model evaluation, with the ability to consume and debug ML-driven systems effectively. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit _. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

About Gnosis Pay Gnosis Pay is a pioneering financial infrastructure company bridging traditional finance and blockchain. As the first permissionless payment network, it enables integration with existing financial systems through a developer-friendly API. Powered by Safe Smart Accounts, Gnosis Pay offers innovative solutions, including the world’s first self-custodial Visa card, fee-free stablecoin on-ramping, and DeFi-powered financial services. By unlocking new possibilities for wallets, fintechs, and businesses, Gnosis Pay is reshaping global payments with secure, scalable, and composable infrastructure. Our tech stack: • Cloud Computing providers: AWS, Google Compute Engine, • Container orchestrators: Kubernetes, AWS ECS, • Continuous Integration: Github Actions, • DevOps Tools: Prometheus, Grafana, Loki, AWS Cloudwatch, • Infrastructure as a code: TerraformWhat you'll do: We're looking for a Senior Devops Engineer based in Europe to enhance our infrastructure and support our development team. • Design, build, and maintain distributed cloud infrastructure and platform services with a collaborative approach with Software Engineers, • Work on scaling, automation, reliability and observability of services, • Troubleshoot production issues across services and multiple levels of the stack, • Identify security gaps proactively and design & implement effective preventative controls, • Participate in roadmap planning and prioritizationMinimum Requirements, • Proven track record of building large scale, cloud based complex distributed systems; identifying shortcomings and optimization opportunities; and making data driven cost performance tradeoffs to influence design decisions, • Empathy, strong communication skills and a deep respect for the power of collaboration, • The ability to drive clear next steps when encountering ambiguous spaces without clear lines of ownership, aiming to enable developers to self-service as much as they can, • Experience in system administration and writing infrastructure as code (e.g. Terraform) in a high-stakes production environment, • Ability to manage multiple concurrent projects and initiatives, • Experience handling critical incidents for production systemsPreferred Qualifications, • Software engineering experience, • Linux system administration knowledge, • Understanding of topics such as platform hardening, malware detection, and endpoint management through configuration as code, • Strong written and verbal communication skills for different audiences (leadership, users, stakeholders etc.), • Uphold high standards for engineering and product quality and mentor other team members to do the same, • Hold yourself and others to a high bar when working with production, • Personal Development: Pursue your professional goals with our support, including personal education budgets and conference allowances. We invest in your growth and learning., • Innovation and Experimentation: Interested in exploring new ideas? Dedicate your Friday afternoons to research or work on a side project within our ecosystem. We encourage creativity and experimentation., • Flat Hierarchy: Navigate with ease in our organization. Our flat hierarchy ensures your ideas and contributions are valued and heard, without getting lost in a complex structure., • Flexible and Remote Work: Not a morning person? No problem! We embrace flexible working schedules and have a long-standing culture of remote work. Balance your professional and personal life in a way that works for you., • State-of-the-Art Equipment: Receive the latest hardware and all the tools you need. We make sure you're well-equipped to do your best work., • Growth and Opportunity: Grow with us in an exciting industry. As Gnosis rapidly expands, so do the opportunities for you to make a significant impact. We value initiative and a proactive approach., • Inclusive and Diverse Culture: At Gnosis, we are committed to creating an inclusive environment that celebrates diversity. We believe our products and services are enhanced by a wide range of perspectives. All qualified applicants will receive consideration for employment without regard to race, ethnic origin, age, religion, belief, marital status, gender identification, sexual orientation, or physical ability., • Community and Mission: Join a team that's passionate about our mission and enjoys working together. We’re not just colleagues; we’re a community driven by a shared goal.

• Own the architecture and evolution of Zip’s real-time money movement and payments platform, powering millions of transactions., • Lead cross-team technical direction across distributed systems while embedding AI into engineering workflows and product capabilities., • Remote-first role for US-based engineers, with optional collaboration from our NYC office. Start your adventure with Zip At Zip, engineers own systems that move real money. Join Zip’s Engineering function and put your name to solving fascinating challenges at scale in an agile, test-driven development environment. If you value good domain-driven design and enjoy delivering quality work at pace, you’ll be a great fit with the squads responsible for building cloud-native software applications that serve millions of customers and process billions of dollars in payments. We are seeking a highly experienced and technically strong Staff Engineer to lead complex, cross-domain initiatives across our platform. In this role, you will set technical direction, drive execution on ambiguous, high-impact problems, and shape the architecture of systems that are critical to our business. This is a hands-on leadership role where you will partner with engineering and product leaders, influence strategic decisions, and mentor senior engineers while raising the bar for scalability, reliability, and engineering excellence across the organization. You will also play a key role in defining and scaling how AI is used across engineering, driving measurable improvements in developer productivity, system quality, and delivery speed. Interesting problems you’ll get to solve • Design systems that ensure safe, reliable money movement at scale across distributed services., • Define and evolve platform patterns for event-driven architectures and cross-team system design., • Lead ambiguous, high-impact initiatives from concept to production across multiple teams., • Balance speed and long-term platform health in critical financial systems., • Define and standardize AI-assisted engineering patterns (e.g., code generation, testing, debugging, incident analysis) that can be adopted across teams., • Raise the bar for system reliability, performance, and developer experience across the organization., • Build systems that ensure financial correctness under failure conditions, including retries, duplication, and reconciliation scenarios., • Drive adoption of AI across teams by coaching engineers, establishing best practices, and ensuring responsible and effective usage., • Identify and deliver AI-driven efficiencies, reducing development cycle time, improving code quality, and accelerating incident resolution., • Partner with platform and tooling teams to integrate AI capabilities into the developer ecosystem (CI/CD, observability, IDEs, internal tools). What you’ll bring to the team • 12+ years of experience building and operating distributed backend systems in modern engineering environments., • Strong experience in payments, fintech, or other correctness-critical systems such as settlement, reconciliation, or transaction processing., • Proven track record of leveraging AI to improve engineering outcomes, including personal productivity and enabling team-wide adoption at scale., • Experience leading complex, cross-team initiatives and driving technical direction across multiple systems., • Deep expertise in system design, including event-driven architectures, microservices, and high-availability systems., • Hands-on engineering mindset. You stay close to implementation and can dive into code, services, and infrastructure when needed., • Strong decision-making ability. You can evaluate tradeoffs and make clear technical calls in ambiguous situations., • Experience mentoring senior engineers and raising engineering standards across teams., • Experience working with cloud platforms such as Azure or AWS, and backend technologies like C#/.NET or similar., • Experience evaluating and selecting AI tools, models, and workflows with an understanding of tradeoffs (cost, latency, accuracy, safety)., • Ability to define metrics and measure the impact of AI adoption (e.g., developer velocity, code quality, cycle time, incident reduction)., • Clear alignment with _, • Experience building and scaling systems in fintech or other highly regulated environments, such as payments, lending, banking, settlement, reconciliation, fraud, risk, or transaction processing., • Experience working in AI-forward, high-scale engineering environments where teams are building at the edge of modern cloud, distributed systems, developer productivity, or applied AI., • Hands-on experience building production-grade AI capabilities beyond prompt engineering, such as AI agents, agent orchestration frameworks, retrieval-augmented generation, model evaluation pipelines, workflow automation, or AI-powered internal platforms., • Experience architecting agentic AI systems that safely interact with internal tools, APIs, business workflows, and human-in-the-loop approval processes., • Experience defining responsible AI governance patterns, including data access controls, model/tool selection standards, evaluation frameworks, observability, cost management, auditability, and risk controls., • Experience partnering with business, product, risk, compliance, security, legal, or operations leaders to translate ambiguous strategic problems into scalable technical solutions., • Experience building AI-enabled engineering platforms that improve developer velocity, code quality, testing, debugging, incident response, observability, or release confidence., • Familiarity with modern AI/ML infrastructure, including model serving, fine-tuning, embeddings, vector search, distributed training, inference optimization, model evaluation, or experimentation platforms., • Experience with cloud-based AI/ML services and frameworks such as AWS Bedrock, SageMaker, Azure AI, OpenAI, Anthropic, Databricks, LangChain, LlamaIndex, or similar technologies., • Demonstrated ability to operate as a hands-on technical leader who can set strategy across teams, prototype emerging technologies, and raise the bar for engineering excellence. What you’ll get in return Zip is a place where you’ll get out what you put in. The newness of our sector means we need to move at pace and embrace change, and our promise to you when you join the team is that you’ll feel empowered and trusted to make big things happen quickly. We want you to feel welcome and as though you have the support to be yourself, and care for yourself at work. Because it’s important to us that you make the most of the opportunities you’ll get to grow your skills and your career, and be surrounded by smart, friendly people and leaders that have your back. We think these are just some of the best things about being a Zipster. We will also offer you: • Flexible working culture, • Incentive programs, • Unlimited PTO, • Generous paid parental leave, • Leading family support policies, • Company-sponsored 401k match, • Learning and wellness subscription stipend, • Beautiful Union Square office with a casual dress code, • Industry-leading, employer-sponsored insurance for you and your dependents, with several 100% Zip-covered choices available Zip is committed to a straightforward and transparent pay structure. The actual base salary will be determined by various individualized factors, including job-related knowledge, skills, experience, location, internal equity, as well as other objective business considerations. The annual base Pay Range for this position is $185,000-$210,000. This range reflects our US national compensation band (USN). Additional premium percentages may apply based on our tiered premium strategy. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or commission awards, in addition to a full range of medical, financial, and/or other benefits. If hired, employees will be in an 'at-will position' and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Be a part of a team that reflects the diversity of our customers We pride ourselves on being a workplace that provides equal opportunities to people of all ages, cultural backgrounds, sexual orientations, gender identities, abilities, veteran status, and everything else that makes you unique. Equally, we’re committed to ensuring our recruitment processes are accessible and inclusive. Please let us know If there are any adjustments that need to be made to ensure you have a fair and equitable experience. And finally…get to know us Zip Co Limited (ASX: ZIP) is a digital financial services company, offering innovative, people-centered products. Operating in two core markets - Australia and New Zealand (ANZ) and the US, Zip offers access to point-of-sale credit and digital payment services, connecting millions of customers with its global network of tens of thousands of merchants. We’re proud to be a values-led business and our values - Customer First, Own it, Stronger Together and Change the Game - guide us in everything we do. I acknowledge by clicking "Submit Application", that the information provided is true and correct. I also understand that any willful dishonesty may render for refusal of this application or immediate termination of employment. By providing your information, you acknowledge that you have read our _ and authorize Zip to process your data subject to those terms. Zip participates in the federal government’s E-Verify program _ _ We are a proud 2025 Circle Back initiative employer and will respond to every applicant.

Atropos Health is the developer of GENEVA™ OS , the operating system for rapid healthcare evidence across a robust network of real-world data. Healthcare and life science organizations work with Atropos Health to close evidence gaps from bench to bedside, improving individual patient outcomes with data-driven care, expediting research that advances the field of medicine, and more. We aim to transform healthcare with timely, relevant real-world evidence. Atropos Health is seeking a dynamic Staff Sales Engineer to join our growing Commercial team. The Staff Sales Engineer role is an externally-facing, revenue-focused role, responsible for working with the Sales team to demonstrate the value of Atropos Health’s solutions to Life Sciences prospects and clients. The Staff Sales Engineer researches customers, understands their needs, and aligns Atropos Health’s solutions to those needs. They are responsible for the creation of presentation content, including demos, and will be integral to present the solution to customers during meetings. The ideal candidate for this role has prior experience selling and delivering real world evidence and precision medicine solutions to life sciences and pharmaceutical companies and has a deep understanding of the healthcare industry, data, technology, and analytical methods. This candidate must have extremely strong communication skills and must be able to clearly and concisely articulate complex ideas and concepts common to the healthcare industry. This person is expected to be a subject matter expert and must conduct themselves with poise, often pivoting in real time to meet customer needs. Collaborate with the sales team to identify and engage potential Life Science clients, understanding their unique needs and pain points. Deliver compelling product demonstrations and presentations that highlight the value proposition of Atropos Health’s products and services. Serve as a technical resource during the selling process, addressing client queries and providing in-depth knowledge of solution capabilities. This includes learning Atropos’ Temporal Query Language and applying it to the curation of cohorts and the generation or preliminary analyses. Understand pricing, customer value, and pricing strategy to articulate ROI to customers during the sales process. Work closely with product management and engineering teams to convey customer feedback and influence product development, ensuring alignment with market demands. Develop and maintain strong relationships with key customer stakeholders. Participate in industry conferences, workshops, and webinars to enhance awareness of Atropos Health’s offerings and expand professional networks. Excellent verbal and written communication skills are required for this role. Strong initiative and the ability to work independently. Prior experience working with real-world healthcare data (EMR, claims, etc.) and deep knowledge of its advantages, shortcomings, and use cases is required. Demonstrated experience working with a sales team. Strong technical skills and hands-on experience with SQL is required. Additional coding languages (e.g., R, Python) is a plus. Prior experience working and proven aptitude in a startup environment. An advanced degree in a clinical setting (e.g., clinical informatics, _, PharmD, MPH, M.D.) is preferred. 7+years work experience in healthcare, consulting, or pharmaceuticals/biotech in a customer facing role is required. The Sales Engineer reports directly to the Vice President of Sales Engineering, _. We are a remote first company! All applicants must be legally authorized to work in the United States on a full-time basis and must not require, now or in the future, employer sponsorship. At this time, we are unable to hire in the following states and territories: Wyoming, North Dakota, Alaska, Hawaii, Puerto Rico, and the U.S. Virgin Islands. Bias to Action. We are driven by urgency and persistence, ensuring our actions contribute to the relentless pursuit of our mission. Intellectual Honesty. We are committed to the integrity of our work, seeking truth, and building transparent methodologies that go beyond industry norms. Compelled by Curiosity. We seek to solve the unknown, push boundaries, and do not accept the status quo. Impactful Innovation. We pioneer solutions that pursue equity and representation that have a transformative impact for our customers, users, and patients. Mindful Mentorship. We approach all interactions with an empathetic understanding, actively investing in the growth of each other and our customers. Health Benefits. Our benefit package includes employer paid Medical, Dental, Vision, Life, STD, and LTD insurance. We also offer FSA. Parental Leave. We offer up to twelve weeks of paid leave for new parents who have been at the company for 6+ months. Financial Wellness. Save for retirement through our 401k plan with Human Interest. Flexible Work Environment. We're a remote first company with a flexible vacation policy. Home Office Stipend. All full-time employees will receive a stipend to support their remote office setup. Offsites. As a remote company we take time 2-3 times a year to get together in small teams and all together as a company. At Atropos, we are committed to fostering a diverse, inclusive, and equitable workplace where every individual feels valued, respected, and empowered to contribute their unique perspectives and talents. We are an equal-opportunity employer that does not discriminate on the basis of race, religion, national origin, age, gender, gender identity or expression, sexual orientation, genetics, disability, pregnancy, veteran status, or any other legally protected status. Atropos participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: & .

We’re hiring Senior Software Engineer I's to join the Integrations team within the Expansion product group! The mission of this team is to increase the efficiency and effectiveness of our creator personas by delivering reliable integrations that embed Articulate 360 into our customers’ daily workflows. Because AI is central to how Articulate 360 delivers value, this team ensures our integrations enable intelligent workflows—connecting external systems in ways that enhance automation, context-sharing, and AI-driven experiences. As a Senior Software Engineer I, you will lead the design and delivery of complex integrations while helping shape the scalable frameworks and architectural patterns that enable long-term leverage. You will balance rapid experimentation with thoughtful system design, ensuring that each integration contributes to a more durable and extensible platform. You’ll collaborate closely with your manager, product management, and engineers across multiple teams to drive meaningful outcomes and raise the technical standard of the team. • Lead technical design and implementation of complex integrations from concept through production., • Drive architectural decisions around APIs, authentication, eventing, and data synchronization., • Identify and extract reusable patterns from integration efforts to reduce the marginal cost of future work., • Ensure integrations are observable, secure, resilient, and maintainable., • Provide thoughtful technical leadership through design discussions and code reviews., • Mentor other engineers and consistently raise the quality and effectiveness of the team., • Partner across engineering teams to clarify ownership boundaries and shared infrastructure., • Contribute to prioritization discussions by evaluating trade-offs between immediate delivery and long-term platform investment., • Leverage modern tooling, including AI-assisted development, to improve productivity and quality., • Supporting services via on-call rotation, • Technical Depth, • Full-stack proficiency with React, JavaScript, TypeScript, and Node.js, • Experience working with SQL databases, ideally Postgres, including data modeling, query performance, and maintaining data integrity at scale, • Strong experience designing and building production-grade APIs and integrations., • Deep understanding of authentication, authorization, and secure data exchange., • Experience with event-driven systems, webhooks, and distributed reliability patterns., • Ability to reason clearly about trade-offs between immediate delivery and long-term architectural investment., • Experience influencing technical direction and setting standards within a team, • Ownership & Impact, • Strong orientation toward outcomes over output., • Demonstrated ability to take ambiguous problems and drive them to production., • Bias toward small, frequent releases and iterative learning., • Holds a high bar for reliability, security, and maintainability., • Collaboration & Influence, • Proven experience partnering closely with design and product to shape solutions and navigate tradeoffs, • Proven ability to work effectively across team boundaries., • Clear and confident communicator in technical discussions and design reviews., • Mentors others and contributes to a culture of continuous improvement., • Integrations you lead are architecturally sound and deliver measurable product impact., • The team benefits from clearer technical direction and reusable patterns., • You consistently raise the quality bar through code reviews, mentorship, and design leadership., • Cross-team collaboration improves because of your clarity and communication., • You demonstrate strong system-level thinking within the integrations domain., • You help the team move quickly without sacrificing reliability or long-term leverage. $137,700 - $182,246 a yearThe pay range for this position is $137,700to $182,246 for all US locations. This range represents our good faith expectation of what we reasonably expect to pay for this role based on factors including (but not limited to) skills, experience, training, licensure and certifications, education, and other business and organizational needs. This position is bonus-eligible. Articulate also offers a robust suite of benefits — visit _ for a full list. This is a US-based role and can be performed remotely from anywhere within the United States. Occasional travel for company events may be required. Employees must physically reside and work within the US throughout their employment and must immediately notify Articulate of any change of address.About us Articulate Global, LLC, is the leading SaaS provider of creator platforms for online workplace training. Founded by Adam Schwartz in 2002, Articulate provides creator tools and services that make it simple for enterprises and SMBs to develop, deliver, and analyze online workplace training that’s engaging and effective. Increasingly, organizations must reskill employees for ever-changing remote and hybrid work environments, create learning cultures that attract and retain employees in a tight labor market, and use training to build more equitable, empowering, and engaging workplaces. Articulate helps organizations address these critical business needs with its creator platform for workplace training. Articulate 360—a suite of creator tools for online courses—was named the 7th most-loved product in the world by TrustRadius in 2021. And _—an all-in-one online training system that makes online training easy to create, enjoyable to take, and simple to manage—is the first creator platform for SMBs and departments within the enterprise. Articulate has more than 118,000 customers in 170 countries and counts all 100 of the Fortune 100 companies as customers. Named one of Inc. Magazine’s Best Workplaces 2022 and a leader in building a , Articulate is guided by a commitment to provide the best value to customers, do right by employees, and create an equitable, empowering workplace for all. As a human-centered organization, we honor people’s humanity knowing that each person’s unique history, vulnerabilities, and social location inform how we show up with one another. We embrace our connectedness, aware that what we do and say impacts others. We give each other grace because we are all works in progress, learning and evolving every day. And we take responsibility for ourselves and are serious about our accountability to each other. In all we do, we strive to create an equitable, sustainable, and empowering workplace while we drive results for the business and make a positive impact in the world. . Articulate Global, LLC is an Equal Employment Opportunity and Affirmative Action employer and complies with all applicable federal, state, and local fair employment practices laws. All employment decisions at Articulate are based on business needs, job requirements, and individual qualifications directly related to the job, without regard to any protected characteristic or class, including, but not limited to, race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. Qualified candidates with criminal histories will be considered for this role in a manner consistent with applicable law. Articulate is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation related to the application process due to a disability, you may contact us at . (For information about Articulate's privacy practices, please view our ) As an organization, we participate in _. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Beacon Biosignals is on a mission to revolutionize precision medicine for the brain. We are the leading at-home EEG platform supporting clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our FDA 510(k)-cleared Waveband EEG headband and AI algorithms enable quantitative biomarker discovery and implementation. Beacon’s Clinico-EEG database contains EEG data from nearly 100,000 patients, and our cloud-native analytics platform powers large-scale RWD/RWE retrospective and predictive studies. Beacon Biosignals is changing the way that patients are treated for any disorder that affects brain physiology. Beacon Biosignals is seeking a Machine Learning engineer! At Beacon, we've found that cultural and scientific impact is driven most by those who lead by example. As such, we're always seeking out new contributors whose work demonstrates innate curiosity, a bias toward simplicity, an eye for composability, a self-service mindset, and—most of all—a deep empathy toward colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact. Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs in Boston, New York City and Paris. What success looks like • Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices including specifications and requirements gathering, data curation and labeling, development, failure-analysis, production, maintenance, and documentation., • Select, implement, and develop the most appropriate method for each problem, knowing when to apply deep learning techniques and when other methods are more effective., • Enhance our internal deep learning and machine learning tools to boost team efficiency, introduce new model architectures and algorithmic techniques, and refine the codebase to encourage reusability where needed to enable rapid experimentation., • Spread and improve our best practices to ensure algorithm implementations are user-friendly, well-documented, and thoroughly tested, including unit tests, comprehensive documentation, CI, and non-regression testing., • Present results to key stakeholders and assist them in utilizing algorithms for client engagement., • Support the client-facing projects to understand and shape the impact Beacon algorithms have for our customers, both for existing deployed algorithms, and future algorithm development. What you will bring • You have more than 4 years of industry experience in machine learning and deep learning, particularly in health sciences or other regulated fields, with a proven track record of bringing algorithms into production., • You are experienced with digital signal processing (DSP) and statistics and care about using the right tool for the job, which in many cases might not be machine learning or deep learning., • You are proficient in using PyTorch (preferred) or other deep learning frameworks for training, developing, and deploying deep learning models., • You are familiar with latest Deep Learning advances (Transformer/ViT, large scale modeling, large model training, ...), • You follow and adopt best practices in software and ML engineering, including testing, version control, code reviews, documentation, Dockerization, CI/CD, and experiment tracking., • You are familiar with biosignals, medical imaging data, or large time-series datasets, or are enthusiastic about learning more in the domain., • You thrive in a team environment, recognizing that collaboration, open communication, and continuous feedback are essential for collective success., • You are able to distill, discuss, and present complex technical topics in a way that is appropriate for the audience at hand, both internally and externally., • You are excited to participate in the entire algorithm development lifecycle, which spans scoping, data wrangling, algorithm development/experimentation, formal validation, quality/regulatory documentation, production deployment, and working with clients who might benefit from these algorithms. The salary range for this role is $150,000 – $170,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location.The base salary is one component of the total compensation package, which includes equity, PTO and other benefits. At Beacon, we've found that cultural and scientific impact is driven most by those that lead by example. As such, we're always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact. #LI-Remote

About the Job: LaunchDarkly is looking for an experienced Full Stack Engineer to play a key role in shaping the future of software delivery on the Guarded Releases team. In a world where agents are delivering code faster and more reliably, releasing safely is no longer optional infrastructure; it’s a competitive advantage. The Guarded Releases team is focused on making every release safer, faster, and more reliable. Our mission is to redefine how software is released: automating release processes, measuring the real-time impact of feature rollouts, and simplifying debugging when things go wrong. From automated release pipelines to metrics monitoring, error tracking, and fully automated rollbacks, our work ensures every code change is measured, and the entire release process from rollout to issue mitigation is managed for maximum efficiency and reliability. We are solving critical challenges in modern software delivery: reducing the time it takes to detect regressions, automating responses to minimize risk, and eliminating manual effort. We extensively use the products we build, allowing us to create our own ideal release process while shaping the developer experience for teams across the industry. If you’re interested in building the systems that help software teams ship safely at scale, we’d love to work with you. Responsibilities: Collaborate seamlessly with cross-functional partners (product, design, data science, and engineering) to architect and advance our observability products. Leverage your broad experience to facilitate strategic discussions that align technical solutions with business goals, ensuring the delivery of scalable and effective features. Drive comprehensive end-to-end feature development, taking full ownership from proof of concept through to delivery. Ensure that each feature provides robust observability into system behavior and customer usage patterns post-launch, applying a deep understanding of both technical and user experience considerations to optimize feature performance and reliability. Proactively identify opportunities for product and user experience improvements, leveraging data insights and feedback to propose innovative, well-reasoned solutions. Lead the implementation of these enhancements, balancing user needs, business goals, and technical feasibility, ensuring each change drives meaningful improvements in engagement and performance. Actively lead and contribute to code reviews, spec reviews, and architecture design, ensuring alignment with best practices, long-term scalability, and maintainability. Your experience will drive thorough and thoughtful evaluation of solutions, while providing constructive feedback that elevates the quality of the codebase. Stay at the forefront of development trends, experimentation, and data-driven product evolution, bringing deep expertise to suggest and implement forward-thinking improvements in tools, processes, and methodologies. Your proactive involvement in continuous learning and improvement will help ensure the team remains competitive and cutting-edge in its approach to building user-focused products. Qualifications: 3+ years of professional software engineering experience, with a track record of shipping production-quality full-stack features Proficiency across the full stack—comfortable in TypeScript/React on the frontend and Go (or similar) on the backend Experience building data-focused products such as experimentation platforms, analytics dashboards, or large-scale data visualizations. Proficient in designing, implementing, and maintaining RESTful APIs Experience working directly with customers and understands how their work impacts business goals Strong sense of ownership and accountability for delivering impactful solutions Proven ability to work closely and collaborate with cross functional partners, like product, design, and data scientists. Demonstrated ability to write clean, well-documented, and testable code with a focus on maintainability and extensibility. Strong understanding of observability and monitoring tools and practices. Excellent communication, collaboration, and interpersonal skills Pay: Target pay ranges based on Geographic Zones* for Level 2: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $136,500 - $187,660**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $122,800 - $168,850**, • Zone 3: All other US locations - $116,000 - $159,500 LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages, • Delivering targeted experiences by easily personalizing features to customer cohorts, • Maximizing the business impact of every feature through the ability to experiment and optimize, • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types, • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at _. Do you need a disability accommodation? Fill out this _ and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to _.

Company Overview: Over the past 15 years, eTel has delivered essential solutions for the federal government by securing and managing data, providing scalable identity access, modernizing legacy systems, and building high-performance platforms. By integrating new technologies and ensuring reliable operations we help agencies stay prepared for future challenges As a premier technology solutions and services company to the US federal government, eTel possesses longstanding relationships across the federal civilian marketplace. Other customers include the broader Treasury Department, Commerce Department, and State Department. eTel offers integrated CMMI Level 3 processes, tools, and techniques with innovative, cost-efficient, and secure solutions to address complex challenges. eTel also holds ISO 9001:2015, ISO/IEC 27001:2013, and ISO/IEC 20000-1:2018 certifications, and offers dedicated subject matter experts (SMEs) and thought leaders that possess a deep understanding of customers’ environments and challenges. Security Clearance: IRS MBI clearance (MUST already be in place) Position Summary: The IRS is modernizing its data platform to support analytics, reporting, and predictive modelling. We are seeking a skilled Databricks Specialist / Data Engineer to design, implement, and optimize big data pipelines and analytics solutions. The ideal candidate will have hands-on experience with Databricks, Apache Spark, and cloud-based data platforms, and a strong understanding of data governance, security, and compliance standards relevant to federal environments. Key Responsibilities: • Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and Apache Spark., • Work with large datasets from multiple sources, including structured and unstructured data, to support analytics and reporting., • Collaborate with IRS teams to implement data lakehouse solutions and optimize data storage and retrieval., • Develop and maintain Delta Lake tables and pipelines to ensure data reliability and ACID compliance., • Implement data transformations, cleansing, and enrichment processes for downstream analytics and reporting., • Work with Python, SQL, and other scripting languages to build and automate workflows., • Ensure compliance with IRS security standards, NIST 800-53, and IRS 1075 for handling sensitive taxpayer data., • Collaborate with data scientists, analysts, and other stakeholders to deliver actionable insights., • Participate in performance tuning, troubleshooting, and optimization of Databricks clusters and workloads. Required Qualifications: • Hands-on experience with Databricks and Apache Spark in production environments., • Strong data engineering skills: ETL/ELT pipelines, data modeling, and analytics., • Proficient in Python, SQL, or Scala for data processing., • Experience with cloud platforms such as AWS, Azure, or GCP, including cloud storage, compute, and security controls., • Knowledge of Delta Lake, data lake architecture, and big data best practices., • Experience working in federal or highly regulated environments preferred. Desired Skills / Nice to Have: • Familiarity with data governance, metadata management, and lineage tracking., • Experience integrating Databricks with BI tools like Power BI or Tableau., • Knowledge of machine learning workflows in Databricks., • Understanding of IRS modernization initiatives and taxpayer data sensitivity. Education / Certifications: • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field., • Relevant certifications are a plus: Databricks Certified Data Engineer | AWS / Azure / GCP Cloud Certifications | Certified Analytics Professional (CAP) Location: Remote Commitment to Diversity - eTelligent Group provides equal employment opportunities (EEO) to all applicants without regard to race, color, religion, gender, sexual orientation, gender identity, nations origin, age, disability, genetic information, marital status, amnesty, status as a covered veteran, and any other characteristic provided in accordance with applicable, federal, state and local laws.

Location: Massachusetts, Maryland, or Greater Austin, TX Team: Product & Engineering Employment Type: Full-Time, Remote VulnCheck is transforming vulnerability intelligence by helping security teams act faster and with more confidence. Our platform delivers early, high-quality exploit intelligence, deep asset correlation, and contextual insights to help organizations stay ahead of emerging threats. About the Role We're looking for a Principal Frontend Engineer to own and evolve the systems that power VulnCheck's user-facing products. This is a hands-on role where you'll drive the direction of the product UI and collaborate closely with your teammates to shape how customers experience VulnCheck's intelligence. Although this is a 100% remote role, candidates must be located in Massachusetts, Maryland, or Greater Austin, TX. What You'll Do • Own the product UI end-to-end: design, architecture, development, and continuous improvement, • Drive frontend direction—establishing patterns, component systems, and design standards, • Write clean, maintainable code across the stack (frontend-first, with backend context as needed), • Partner closely with Product to translate requirements into polished user experiences, • Improve performance, accessibility, and reliability of customer-facing interfaces, • Participate in technical design discussions and contribute to frontend architecture decisions, • Debug and resolve production UI issues with durable, thoughtful solutions, • Mentor other engineers on frontend best practices and contribute to engineering culture, • Support Marketing and other teams across the company as relates to web frontend needs What You'll Bring • 5+ years of experience building and shipping production web platforms, • Strong proficiency in modern frontend frameworks (Nuxt/Vue preferred), • Full-stack competence—comfortable working across the codebase, backend experience a plus, • Experience owning a product UI or web property end-to-end, • Solid understanding of web performance, accessibility, and browser compatibility, • Ability to work closely with Product and translate visual direction into high-quality implementations, • Strong ownership mindset—you notice what's broken and fix it without being asked, • Clear communication and ability to collaborate cross-functionally Preferred Qualifications • Experience in B2B SaaS or developer-facing products, • Familiarity with design systems or component library ownership, • Background in cybersecurity or technical data products, • Experience in high-growth or startup environments We believe people do their best work when they feel supported, trusted, and valued. VulnCheck offers benefits designed to meet a wide range of needs and lifestyles: • Unlimited PTO, • 401k plan with 100% match on first 3%, then 50% of the next 3-5% of compensation, • Comprehensive healthcare coverage, • Generous paid parental leave, • Remote friendly environment with flexibility, • Expense reimbursement for Cell Phone & Internet, • Ongoing professional development, coaching, and learning resources, • Opportunities for career advancement within a fast-growing team Built on over two decades of cybersecurity experience, our team of experts understands the intricacies of vulnerabilities, their exploitation in the wild, and how to leverage this data to build more effective cybersecurity products that produce better outcomes for organizations. VulnCheck gives organizations a tactical advantage by providing best-in-class exploit & vulnerability intelligence information. We have a sense of duty to protect the critical infrastructure we rely on including medical devices, power grids and telecommunication networks. We were founded in 2021 in Lexington, Massachusetts. VulnCheck has a transparent, collaborative, and supportive culture - we are looking for people who have a growth mindset, are curious and innovative. Our team is smart, but humble, hardworking, and supportive. VulnCheck is proud to be an Equal Employer Opportunity employer. We do 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. VulnCheck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. *Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.

We're Celonis, the global leader in Process Intelligence technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing AI, data and intelligence at the core of business processes - and for that, we need your help. Care to join us? Role Description As an Applied AI Engineer specializing in the Public Sector, you are pushing the envelope in solving critical operational challenges for State and Local Government agencies. You will be working with our most strategic public sector clients, understanding their unique objectives—from enhancing citizen services and modernizing legacy systems to optimizing grant management and regulatory compliance—and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with top AI and ML technology partners, such as Microsoft, OpenAI, and Databricks. With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands the complex realities of government operations (breaking down agency silos) and enables agencies to industrialize AI. This unlocks real ROI on AI deployments, maximizing taxpayer value at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to government CIOs and Agency Directors, and ensure successful implementation, adoption, and value realization to increase the footprint of Celonis across state and local governments. Key Responsibilities: AI Discovery & Solutioning: Understand public sector AI strategies and specific agency challenges (e.g., benefits administration backlogs, procurement bottlenecks, public safety resource allocation, or permitting delays). As a Celonis product and government domain expert, find the best problem-solution fit and translate agency requirements into innovative solutions that deliver measurable public impact. Pre- and Post-Sales Execution: Actively drive the full customer lifecycle within the public sector. Lead technical discovery and capability demonstrations during the complex government pre-sales and procurement (RFP) cycles, and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully met. Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude, and don’t shy away from complex legacy processes. Leverage cutting-edge AI technologies to rapidly build creative prototypes in agency hackathons, solving critical pain points to improve constituent experiences. Agentic Process Transformation: Support our government customers in achieving real value out of AI deployments at scale, enabling a fundamental shift from traditional, rigid, paper-heavy workflows to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform (e.g., intelligent case triaging or automated compliance checks). Proof Projects: End-to-end execution of critical Proof-of-Value projects. This includes architecting and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails, while seamlessly integrating with government enterprise data, identity protocols, and stringent compliance/security frameworks (e.g., StateRAMP, HIPAA, CJIS). Domain & Industry Leadership: Serve as the internal and external technical subject matter expert for the State & Local Government vertical, scaling knowledge across the organization regarding agency processes and public sector nuances. Requirements: 5+ years of experience leading technical pre-sales and post-sales engagements specifically within the Public Sector (State & Local Government). This includes navigating government procurement cycles, building compelling ROI business cases for public funds, and guiding technical implementations through to constituent value realization. Deep understanding of business processes native to state and local governments (such as Health & Human Services, Procurement, Finance, DMV operations, or Public Safety) with the ability to translate high-level policy or agency needs into specific, impactful AI use cases. Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., intelligent constituent-facing chatbots, automated processing of policy documents, or grant application analysis). Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies. Strong presentation skills to both internal and external stakeholders (including elected officials, agency directors, and IT leadership), whether leading technical whiteboarding sessions or formal readouts and demos. Bachelor’s Degree required; Master's Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred. Nice to have (big plus): Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails suited for highly scrutinized public sector environments. Experience in deploying and monitoring models at scale within government-compliant cloud environments (e.g., AWS GovCloud, Azure Government). Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages. Visa sponsorship is not offered for this role. Learn More about Value Engineering at Celonis _ The base salary range below is for the role in the specified location, based on a Full Time Schedule. Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location. The base salary range below is for the role in California, based on a Full Time Schedule. $145,000 - $170,000 USD What Celonis Can Offer You: • Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business., • Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities., • Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and . Interns and working students explore your benefits ., • Prioritize Your Well-being: Access to resources such as gym subsidies, counseling, and well-being programs., • Connect and Belong: Find community and support through dedicated inclusion and belonging programs., • Make Meaningful Impact: Be part of a company driven by strong _ that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future., • Collaborate Globally: Join a dynamic, international team of talented individuals., • Empowered Environment: Contribute your ideas in an open culture with autonomous teams. About Us: Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it with business context to give customers a living digital twin of their business operation. It’s system-agnostic and without bias, and provides everyone with a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this _. Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ _ By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our _. Please be aware of common job offer scams, impersonators and frauds. Learn more _.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders. What you’ll do As a Senior Application Security Engineer, you will focus on finding and responding to security vulnerabilities across the Brex platform. In this role, you will perform code reviews, design reviews, penetration testing, and vulnerability management. You will develop and maintain tooling to perform static and dynamic testing of the Brex platform and tooling which supports secure developer workflows. Application Security is part of our wider Financial Scale organization, which means you will work closely with Security Operations, GRC, Product Security, Front End Platform, IT Infrastructure teams. We’re looking for individuals with a strong background and interest in penetration testing. You should have a demonstrated ability to find vulnerabilities in complex systems and craft exploits to demonstrate business impact. This role is highly cross functional and collaborative, you will have the opportunity to work with every engineering team across Brex. You should be enthusiastic about working with a variety of backgrounds, roles, and needs. Building a world-class financial service requires world-class security. Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies like Coinbase, Robinhood, and Anthropic. We're at the early stages of integrating AI across our product suite, this role will have the opportunity to influence and secure the future of AI Security at Brex. You'll be at the forefront of securing our novel AI implementations, identifying attack vectors in agentic-powered features, and partnering with product and engineering teams to build AI capabilities that our customers can trust with their critical financial operations. Responsibilities • Identifying vulnerabilities, demonstrating business impact, and articulating the risk of specific vulnerabilities to drive prioritization efforts, • Perform penetration testing and design reviews, looking for vulnerabilities and insecure designs, work with engineering and product to design secure product features, • Maintain and build internal tools to automate security efforts, perform SAST and DAST testing of the Brex platform, and support secure development practices, • Build and contribute to a culture of collaborative security excellence through technical leadership, learning sessions, and mentorship within the team and wider organization Requirements • 5+ years work experience in an Application Security or related role, • Ability to find vulnerabilities in complex systems, demonstrating business impact through custom attack chains, • Experience with a wide range of secure development activities including— threat modeling, developer education, and incident response, • Knowledge of Python, scripting languages, and AI/agentic workflows to automate tasks, build tools and improve productivity, • Collaborative mindset paired with strong written and verbal communication skills Bonus points • Proficiency with Kotlin, gRPC, GraphQL, Kubernetes, • Previous experience as a software engineer, • Consultancy experience performing web application security reviews, • Experience with securing distributed systems in AWS and cloud environments, • Experience with pentesting and securing agentic features and systems, • Contributions to the wider technical community— open source, public research, mentorship, community organizing, blogging, CVEs, presentations, etc, • Experience submitting to bug bounty programs or responsible disclosure programs Compensation The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used. You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products. With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research environment. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers. We have hybrid offices in London, New York, and Singapore; this role is remote based in the San Francisco area. As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes. What you will do • Work closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving, • Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable, • Explore and manipulate 3D point cloud & mesh data, • Own the delivery of technical workstreams, • Create analytics environments and resources in the cloud or on premise, spanning data engineering and science, • Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success, • Work at the intersection of data science and software engineering to translate the results of our R&D and projects into re-usable libraries, tooling and products, • Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption You'll also have the opportunity to travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site. What you bring to the table • Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings., • Experience in ML/Computational statistics/Modelling use-cases in industrial settings (for example supply chain optimisation or manufacturing processes) is encouraged., • A track record of scoping and delivering projects in a customer facing role, • 2+ years’ experience in a data-driven role, with exposure to software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps), • Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow), • Distributed computing frameworks (e.g., Spark, Dask), • Cloud platforms (e.g., AWS, Azure, GCP) and HP computing, • Containerization and orchestration (Docker, Kubernetes), • Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly, • Excellent collaboration and communication skills - with teams and customers alike, • A background in Physics, Engineering, or equivalent Our delivery teams drive innovation to turn AI models into practical solutions - Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected. And it doesn’t stop there … 🚀 Equity options - share meaningfully in the company you’re helping to build. 💰 5% contribution to 401(k) - build long-term security with a strong retirement plan. 🏥 Private health insurance – comprehensive cover for you, offering total peace of mind. 👶 Enhanced parental leave – 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. ☀️ 20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. 📈 Personal development – dedicated support for learning, development, and leveling up over time. 💪 Gympass / Wellhub (subsidized) – for you and up to 3 family members, supporting both physical and mental wellbeing. 💳 Flexible Spending Account (FSA) – set aside pre-tax dollars for eligible healthcare expenses. 🔎 Watch this space, we’re continuing to build this as we grow… $150,000 - $190,000 depending on experience Seniority will be assessed throughout our interview process We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. We are looking for an experienced Senior Frontend Platform Engineer to join a small but fast-growing Frontend Engineering team responsible for building the visualization and rendering systems that power TRM’s investigative platform. TRM’s product surfaces complex blockchain activity through interactive graph exploration, entity networks, and data-dense investigative interfaces. In this role, you will help build the core frontend platform and visualization infrastructure that allows analysts to explore large relational datasets and uncover illicit activity at scale. As an early member of the team, you will work on high-performance rendering systems, graph visualization, and reusable frontend infrastructure that powers TRM’s investigative workflows. The impact you’ll have here: Design and build the visualization platform that powers TRM’s investigative interfaces, including graph exploration and large-scale data visualization. Develop high-performance rendering systems using technologies such as Canvas, WebGL, and GPU-accelerated rendering to visualize complex datasets. Build reusable visualization libraries, SDKs, and platform primitives that enable teams across TRM to build powerful data exploration experiences. Participate in technical design discussions and code reviews to improve architecture, performance, and maintainability. Develop a deep understanding of crypto and blockchain investigation workflows to inform product design and platform capabilities. Help define the next generation of data exploration tools used by investigators and financial institutions worldwide. What we’re looking for: Strong JavaScript and TypeScript fundamentals with experience building large-scale frontend systems. Experience building data-dense web applications, such as analytics platforms, visualization tools, or mapping systems. Hands-on experience with Canvas, WebGL, or GPU-accelerated rendering. Experience working with data visualization libraries such as D3, PixiJS, Three.js, or similar tools. Experience building or working with graph / network visualization systems, using tools like D3-force, Cytoscape.js, vis.js, Sigma.js, or similar. Familiarity with graph layouts such as force-directed, hierarchical, or radial layouts. Experience optimizing performance in complex UIs using techniques such as: virtualization, viewport culling Web Workers, and large-dataset rendering optimization Experience designing reusable frontend systems, SDKs, component libraries, or developer platforms. Strong computer science fundamentals including data structures and algorithmic thinking. Experience with React and modern frontend frameworks. About the Team: The team operates on a weekly sprint schedule. Individuals on the team are tasked to lead projects as technical anchors, and given a chance to grow and take ownership according to their level and goals. We work closely with product, design, and with our engineering partners in data platform teams to deliver impactful features to customers and the company. The team’s timezone is a mix of EST and PST, with at least 6 hours of overlap with PST (8 am to 2 pm PST). On Call: We have an on-call rotation that is approximately one week every 16 weeks. Frontend usually doesn't get pager duty alerts but gets frontend issues from customer support channels and the on-call is responsible for triaging if it is a frontend bug or sometimes really a backend issue. It gets busy during some on-call weeks but has not been wake-up from sleep type of alerts. Learn about TRM Speed in this position: Ruthless Prioritization & Adaptability: We adapt quickly when faced with new information. For example, an engineer may message the PM or EM to prioritize Task A vs. Task B in the middle of the sprint – we don’t let inertia guide our decisions. Instead we focus on ruthless prioritization and pivot quickly as needed. Challenging Timelines (Execution Pressure): An engineer questions a teammate’s proposed 3-week timeline, and constructively argues for condensing it to 2 weeks—backed by rationale, tradeoffs, and a plan to reduce scope or increase velocity. They show ownership of delivery speed and willingness to push for urgency. Time-Boxed Spiking (Rapid Learning & Decision-Making): An engineer proposes a 1-week spike with a clear time-box and success criteria to explore implementation options or validate feasibility through a proof of concept. They demonstrate speed not just in execution, but in de-risking decisions early. The following represents the expected range of compensation for this role: Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only. The estimated base salary range for this role is $200,000 - $220,000. Additionally, this role may be eligible to participate in TRM’s equity plan. Please note – we factor in the different costs for geographies outside the United States. About TRM's Engineering Levels: Engineer: Responsible for helping to define project milestones and executing small decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing. Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing. Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor. We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: Priorities and targets to change quickly as we experiment and iterate Work that often requires operating with a high degree of ambiguity A high level of personal ownership and accountability Close collaboration across teams and functions Frequent, high-touch communication Creative problem solving and out-of-the-box thinking A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: _ AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: Accelerate repeatable workflows Structure and solve problems Improve output quality Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the _. Our typical hiring cycles for specialized roles span 24 to 36 months. Accordingly, we retain your personal information for up to 36 months to evaluate your application and to consider you for current and future employment opportunities, unless you request earlier deletion or a different retention period is required or permitted by law. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this _. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this _. TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we’re looking for folks truly excited to join a small team and help define the future of the industry. We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $500K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything. If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build, this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply! About the Role We're seeking an exceptional Senior Software Engineer to join our LLM team. This role is focused on building and maintaining our LLM gateway service—a unified API platform that connects customers to multiple LLM providers. You'll work on high-impact projects that directly solve customer problems, improve their AI and agentic workflows, and ensure reliable access to the best models for their use cases. This is a deeply customer-focused role. You'll work closely with our customer success team to understand customer challenges, help optimize their prompt strategies, build features that address their pain points, and ensure our service reliably delivers value. We're looking for someone who combines software engineering excellence with genuine curiosity about how customers use AI and a drive to make their lives better. As a Senior Engineer, you'll drive technical execution within the team, taking ownership of significant features and integrations while mentoring more junior engineers. You should be passionate about writing clean, maintainable code, implementing comprehensive testing strategies, and building highly reliable systems in service of solving real customer problems. This role requires close collaboration with customer success, product managers, external API providers, and other engineering stakeholders. You'll need to balance technical excellence with pragmatic delivery in a fast-paced startup environment where uptime, reliability, and customer success are critical. What You'll Do Solve Customer Problems • Partner closely with the customer success team to understand customer use cases, challenges, and integration needs, • Translate customer pain points surfaced by the CS team into technical solutions and product improvements, • Build features and tooling that directly address customer needs and improve their workflows, • Provide technical guidance and expertise to the customer success team to help them support customers effectively Drive Technical Execution • Own and deliver complete features and integrations within our LLM gateway service, • Build and maintain integrations with multiple LLM providers and AI services (OpenAI, Anthropic, Google Vertex, AWS Bedrock etc.), • Write clean, maintainable, well-tested code following best practices, • Design and implement scalable, fault-tolerant solutions with appropriate abstractions, • Proactively identify and address technical debt, reliability issues, and code quality concerns, • Participate in on-call rotation to ensure service reliability and rapid incident response Elevate Engineering Standards • Conduct thorough code reviews focused on maintainability, testing, reliability, and architectural concerns, • Ensure proper test coverage across unit, integration, and end-to-end testing levels, • Improve code maintainability and extensibility through targeted refactoring, • Contribute to runbooks, incident postmortems, customer-facing documentation, and knowledge sharing, • Identify bottlenecks and propose solutions to improve team velocity and system reliability Build and Collaborate • Work closely with product, customer success, and engineering teams to deliver solutions, • Collaborate with external API providers to troubleshoot integration issues and improve reliability, • Translate ambiguous customer requirements into well-scoped technical work, • Proactively communicate status, risks, and blockers, • Mentor junior engineers on coding standards, reliability practices, and customer-centric thinking, • Participate in architectural discussions and contribute to technical decisions What You'll Need Core Requirements • 5+ years of professional software engineering experience, • Strong proficiency in Go with demonstrated ability to write production-quality code, • Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and understanding of prompt engineering concepts, • Experience building or working with API gateways, proxies, and rate limiting systems, • Deep experience with prompt engineering, chain-of-thought, few-shot learning, and other LLM optimization techniques, • Experience building applications with llms or ai agents with cascading architectures, • Solid understanding of software engineering fundamentals:, • Data structures and algorithms, • System design and architectural patterns, • Testing strategies (unit, integration, end-to-end), • Code review practices and technical collaboration, • Experience with:, • RESTful APIs and distributed systems concepts, • Building or integrating with third-party APIs, • SQL and database design, • Version control (Git) and CI/CD pipelines, • Containerization (Docker) and cloud infrastructure, • Strong communication skills and ability to collaborate effectively with cross-functional teams, • Track record of delivering high-quality, reliable software in a fast-paced, team environment, • Ability to thrive in a startup environment with changing priorities and rapid iteration Nice to Haves • Experience with AWS services (ECS, Lambda, ElastiCache/Redis, RDS, S3, CloudWatch, API Gateway), • Experience with monitoring and observability tools (Datadog, CloudWatch), • Experience with request routing, load balancing, and traffic management, • Experience with circuit breakers, retry logic, fallback strategies, and fault tolerance patterns, • Understanding of API design, versioning, and backward compatibility, • Experience working closely with customer success or support teams What We're Looking For This role requires someone who is: • Customer-obsessed - You genuinely care about solving customer problems and making their lives easier, working through the customer success team to understand and address their needs, • Excellent at software fundamentals - You write code that others want to emulate, • Quality-focused - You care deeply about testing, documentation, and maintainability, • Reliability-obsessed - You understand that uptime and performance directly impact customer trust, • LLM-savvy - You understand prompt engineering, model capabilities, and how to help customers get the best results, • Integration-savvy - You've wrestled with third-party APIs and know how to build resilient integrations, • Collaborative - You work well with diverse stakeholders and partner effectively with customer success teams, • Communicative - You can explain complex technical concepts clearly to teammates and cross-functional partners, • Growth-minded - You're curious, eager to learn, and want to expand into platform and infrastructure engineering, • Pragmatic - You balance perfection with delivery and understand trade-offs, • Team-oriented - You improve not just the code, but the team's overall effectiveness, • Proactive - You anticipate problems before they become incidents and build systems defensively, • Empathetic - You put yourself in the customer's shoes and design solutions accordingly We're looking for the best person for this role - someone who can hit the ground running while growing with the team. The ideal candidate brings strong software engineering discipline, a passion for AI/LLMs, and genuine excitement about solving customer problems through reliable, thoughtfully designed infrastructure. Pay Transparency: AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity across our team. Our salary ranges are set to be competitive for our size, stage, and industry, and reflect just one component of the full compensation, benefits, and rewards we offer. Salary determinations consider a variety of factors, including relevant experience, technical depth, skills demonstrated during the interview process, and maintaining internal equity with peers on the team. The range shared below represents a general expectation for the posted position. However, we are open to considering candidates who may fall above or below the outlined experience level—in those cases, we will communicate any adjustments to the expected salary range. The range provided applies to candidates located in the United States. For candidates outside of the U.S., compensation ranges may differ; any adjustments will be communicated throughout the interview process. Salary range: $180,000 - $240,000 The expected base compensation for this role is listed above. Our total compensation package includes competitive equity grants, 100% employer-paid benefits, and the flexibility of being fully remote. 401k match up to 4% for US-based full time team members. If you’re selected for an interview, please review this _ to better understand how AssemblyAI approaches the use of AI in our interview process. Candidates from the EU should review _ before applying. | | | _ _ _

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Location: United States Work Mode: 100% Remote, every other Friday off At Loka, the work we do has cut billions in food waste, helped children around the world learn to read, and supported everything from barbershop apps to cancer research. Since 2023 alone, we've helped launch more than 500 AI projects for bold startups and household brands. We're the AWS Innovation Partner of the Year, and we've built an award-winning marketing engine that's helping move the services industry forward. All of this, and we still enjoy every other Friday off of work (yes, really). That's the broad pitch. Now let's talk about you. I'm the CMO and I'm looking for a Senior Content & Communications Lead who is an exceptional writer, sharp thinker, and obsessive about clarity. This is a hands-on senior IC role. You'll own our content end-to-end — long-form, short-form, sales enablement copy, web, email, and narrative assets that shape how Loka is perceived by AWS sellers, buyers, and the market. You'll partner closely with me at first, then within 6 months be trusted to ship externally without oversight, make confident editorial calls, and raise the quality of every piece of communication that goes out under Loka's name. This is not a role for someone who wants to wait to be told what to write for a year. I'm looking for someone who deeply understands what we do, who we serve, and how we win — and turns that understanding into sharp, accurate, audience-ready writing. Someone who takes a vague brief and comes back with a structured plan. Someone who can sit on a call with an engineer, a client, or an AWS AM and translate what they heard into content that actually lands. Background in engineering, cloud, software, services, or B2B tech is essential. Loka is a full-stack software consultancy — we build production AI, agentic systems, cloud migrations, and data platforms for regulated industries. The best version of this role is filled by someone who already speaks the language: a former engineer who moved into content, a writer who has spent years at a cloud/AI/SaaS company, an editor who covered enterprise tech, or someone who grew up in B2B services. Engineering background is the strongest plus. If you've only written about consumer brands or lifestyle topics, this isn't the right fit. I'm looking for someone with the rigor to translate technical substance into content that lands. You ask sharp questions. You explain your choices. You care about audience and objective as much as craft. You should also be deeply fluent in how content and marketing are evolving. You can talk clearly about how you're using AI and agents to scale your work, where those tools create leverage, and where human judgment still matters most. We move fast at Loka, but we do it sustainably. We care about long-term growth in our team and business, not short-term burnout. If you're nodding along enthusiastically, I'd love to meet you. • Own and produce high-impact external content — case studies, web pages, landing copy, sales emails, offers, social posts, thought leadership, campaign narratives, • Translate Loka's technical wins (GenAI, agentic systems, cloud migrations, regulated-industry deployments) into sharp, accurate, audience-ready writing that lands with AWS sellers and buyers, • Develop and maintain the working understanding of Loka's offerings, audiences, and positioning needed to write independently without heavy SME hand-holding, • Sit on calls with engineers, SMEs, AWS partners, and clients — and turn what you heard into content that's accurate, persuasive, and on-brand, • Shape Loka's editorial and content strategy within your domain — what we're saying, to whom, through what, and why now, • Bring point of view to content planning: propose pieces, angles, and campaigns based on Loka's priorities (AWS co-sell, regulated industries, production AI work) rather than waiting for assignments, • Defend editorial choices with clear reasoning rooted in audience and objective, • Hold the Loka brand and voice across every format and channel, • Self-edit before handoff. Don't hand over work you can't defend as ready to ship, • Produce content that captures the "so what" for AWS sellers and buyers, not just surface-level summaries, • Use Claude and other AI tools meaningfully to accelerate drafting, research, editing, and repurposing, • Apply judgment about what should be automated, what should be assisted, and what still needs a human eye and brain, • 5+ years of experience in content, communications, editorial, or marketing writing roles — ideally at a services, consulting, or B2B technology company, • A background in at least one of: engineering, cloud, software, services, or B2B tech. This could be a former engineer or developer who moved into content, a writer with years of experience at a cloud / AI / SaaS / enterprise software company, a journalist who covered enterprise tech, or someone who grew up in a B2B services environment. Engineering background is the strongest plus., • Exceptional writing skills across formats: long-form, short-form, email, sales assets, • Demonstrated ability to write credibly about technical topics — AI, cloud, data, software — for both technical and business audiences, • Strong editorial judgment: taste, audience calibration, and a clear sense of when something is ready to ship, • Excellent verbal and written English communication skills, • Strong organizational skills and the ability to manage multiple fast-moving priorities, • Deep curiosity about AI-enabled content workflows and good judgment about their limitations, • Based in the United States with eligibility to work in the US, • 5/4 schedule with every other Friday off — 26 extra days off a year, • 100% remote work, • Premium health insurance, • 401(k) matching, • Short- and long-term disability coverage, • Paid sick days and local holidays, • Premium mental health subscriptions, • Continuous Learning Support, • And more If you're a writer with strong judgment, clear editorial instincts, and the curiosity to help a team do better work that actually matters, apply now. Your achievements matter to us! Ensure your CV and LinkedIn profile are up to date and accurately reflect your experience.

Newfront (a WTW company) embraces a flexible work environment and supports employees working remotely, hybrid, or in-office. As a Senior AI Engineer at Newfront, you will work across both our AI platform and the AI products built on top of it. You will design and build the core AI platform — the agent runtime, RAG and document understanding pipelines, connector framework, model routing layer, evaluation and observability backbone, and on-premise model hosting — and you will use that same platform to ship AI products that brokers, underwriters, and operations rely on every day. You will partner closely with product engineering, brokering and operations leaders, and security and compliance partners to make sure both the platform and the products reflect how the business actually works. This position is a salary, exempt, and full-time position. This is a US-remote or hybrid role with the option to work from any of Newfront's office locations. #LI-Remote Build and scale the agent runtime at Newfront — tool use, planning, memory, multi-agent orchestration, human-in-the-loop handoff, and the SDKs product teams use to compose agents for brokering, underwriting, and client service workflows. Design and own RAG and document understanding pipelines for complex insurance artifacts — submissions, policies, endorsements, loss runs, SOVs — including ingestion, chunking, indexing, retrieval, structured extraction, and grounding. Build the connector framework that lets AI agents and pipelines reach into the systems brokers actually use (AMS, carrier portals, email, document stores, internal services), with first-class auth, rate-limiting, schema discovery, and auditability. Establish the evaluation and observability backbone for AI at Newfront: offline eval harnesses, regression suites, hallucination and grounding checks, online quality, latency, and cost telemetry, and the dashboards every team uses to measure AI features against compliance and performance targets. Own model routing and the model gateway — selecting between hosted frontier models and on-premise / self-hosted models per use case, balancing quality, latency, cost, and data-residency constraints. Stand up and operate on-premise model hosting where regulatory, contractual, or data-sensitivity requirements make hosted APIs unsuitable: GPU capacity planning, inference serving, quantization and optimization, isolation, and lifecycle management. Ship AI product features end-to-end on top of the platform — from problem discovery with brokering, underwriting, and operations partners through technical design, implementation, and the user-facing surfaces that make AI capabilities intuitive for non-technical users. Mentor engineers on production AI systems, review designs, and help establish best practices for building reliable AI in financial services. Partner with security, privacy, and compliance to bake controls — auth, audit, PII handling, retention, model risk management — into the platform rather than leaving them to each product team to rediscover. BS, MS or PhD in computer science, or related field, or equivalent work experience 5+ years of professional software engineering experience, with a strong general software development background — building, shipping, and operating production services, not just notebooks or prototypes. We are looking for an engineer first, who has gone deep on AI, rather than someone whose experience is exclusively in ML research. Solid fundamentals in API design, data modeling, testing, debugging production systems, code review, and collaborating in a team codebase. Strong programming skills in TypeScript, including experience with Node.js or another TypeScript backend framework in production. Experience with modern development and deployment practices (e.g., containerization, CI/CD, infrastructure-as-code, production observability). A track record of leading AI/ML projects end-to-end, including API design, production operations, and long-term maintenance. Experience designing systems for reliability, cost, and scale in production. Passion for staying up-to-date with the latest advancements in AI/ML and applying them to real-world problems. Strong problem-solving skills and the ability to take a pragmatic and efficient approach to tackling challenges. Excellent collaboration and communication skills, with the ability to partner with product teams and effectively communicate complex technical concepts to non-technical stakeholders. Working knowledge of Python and/or Go — we use Python for ML/AI tooling and Go in parts of our backend, and you will read and occasionally write both. Experience deploying or leveraging machine learning models and Large Language Models (LLMs) to power business applications at scale. Hands-on experience building agent frameworks, tool-use runtimes, RAG systems, connector / integration frameworks, or evaluation harnesses for LLM-based applications. Experience self-hosting or fine-tuning open-weight LLMs (e.g., GPU inference serving with vLLM/TGI/TensorRT-LLM, quantization, LoRA/PEFT, on-prem deployment). Experience building model gateways or routing layers that span multiple model providers and self-hosted models. Knowledge of state-of-the-art LLM techniques, models, and vendors, including trade-offs across providers. Familiarity with LLM and related frameworks, including extracting structured data from unstructured text. Experience with popular AI/ML libraries and frameworks. Familiarity with DevOps practices, cloud infrastructure, authorization, authentication, and search infrastructure. Experience with model risk management, AI governance, or building AI systems in regulated industries (financial services, healthcare, insurance). Understanding of machine learning essentials and the ability to collaborate effectively with data scientists. The pay range for this position in California, Washington, Colorado and New York at commencement of employment is expected to be between $160,000 and $250,000/yr; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, the employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. At Newfront, we are committed to hiring diverse talent and supporting an inclusive workplace environment. If you are excited about a role at Newfront but feel you’re missing a few of the qualifications, we still encourage you to apply and tell us about yourself. You may just be the next Newfront team member that we are looking for! Newfront is proud to be an equal opportunity workplace. Diversity is in our DNA and we believe that creating an inclusive workplace elevates the value we are able to bring to our customers and employees alike. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or any other applicable status protected by state or local law. If you require reasonable accommodations throughout the application or interview process, please contact us at careers@newfront.com. For information regarding how Newfront collects and uses personal information, please review our .

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

WHO WE ARE Prowess Consulting is a consulting firm that specializes in helping the largest enterprises in the technology industry define, manage, benchmark, and market their solutions and services. We take great pride in investing the time and effort to gain a deep understanding of our clients’ technologies, their customers, and the stories and strategies they need to tell to be successful in the market. Our team of technology and marketing experts is immersed in the technology trends that affect our clients’ businesses, so we can add value at every stage of engagement to help them succeed. WHO YOU ARE Prowess Consulting is looking for an enthusiastic junior System Administrator/Test Engineer to join our team on a contract basis. The ideal candidate will have skills in a variety of technologies including storage, compute, and networking. Strong trouble shooting and creative problem-solving skills. Ability to communicate effectively to resolve issues. To be considered for this role, you must reside in one of the following states: Alabama, California, Colorado, Connecticut, Georgia, Iowa, Michigan, Mississippi, Missouri, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Texas, Utah, Virginia, or Washington. This is a full-time role with Prowess Consulting. This role can be worked remotely, however collaboration with teammates centered in the Pacific time zone will be essential. No third-party agencies, please. THE ROLE • Researching, testing, development and writing in support of benchmarking, and testing, • Running publicly available hardware benchmarks and tracking results, • Running provided Python/PowerShell/Bash/Shell scripts or interactive steps to stress test server infrastructure hardware QUALIFICATIONS • Associate degree in a technical field such as computer science, computer engineering or related field required, • 2+ years or working knowledge with scripting languages such as Python and Batch/Shell scripts, • Ability to take clear notes and write concise technical documentation, • Ability to analyze/interpret test results and provide recommendations to improve testing., • Must be able to work Pacific Time Zone NICE TO HAVE • 2+ years’ experience in a Windows environment, • 2+ years' experience with Linux Administration, • 1+ year experience in configuring enterprise storage, • 1+ year consumer hardware benchmarking and testing, • 2+ years with building sandbox and lab environments, • Ability to conduct research to learn and understand new technologies, • Additional experience in the following areas:, • Kubernetes, • AI/ML workloads, • Microsoft SQL Server, • MySQL, • Virtualization such as Microsoft Hyper-V, VMware vSphere, Nutanix AHV, • Nginx, • RedisADDITIONAL DETAILS, • The offered base pay range for this specific positing is $75,000 - 100,000 per year, DOE, • Pay ranges are different for different work locations within the U.S., which allows for competitive pay and consistency in different states, • U.S. based employees, working 30 hours per week or more have access to medical, dental, and vision insurance, basic life insurance, a 401K plan with matching, well-being benefits, education benefits, among others., • U.S. based full-time employees receive 11 paid holidays, and accrue paid time off Prowess Consulting is an equal-opportunity employer, and diversity is a core value for us. We are a Minority/Women-owned Business Enterprise (WMBE) in Washington, and we committed to diversity, equity, and inclusion. At Prowess Consulting, we are passionate about building and sustaining an inclusive and equitable working and learning environment for all employees. We provide a well-rounded benefits package including health insurance, flexible spending account, life and disability insurance, paid time off, and retirement plan investing. For more information, please visit _

AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our solution helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, ICONIQ Growth, and Ajax Health. We’re a high-growth SaaS company scaling rapidly. We are looking for a strongly technical and empathetic engineering leader to lead our Adoption and Value Realization team, focused on driving meaningful user engagement with our existing product functionality and ensuring customers realize clear, demonstrable value from AcuityMD. As the founding manager of this new team, you will be instrumental in guiding the team’s technical investments, achieving product success, growing the team, and mentoring engineers. You will join the engineering leadership team to help shape the culture, processes, and technical investments across engineering. We are looking for a world-class technical and systems thinker and a world-class leader for this highly impactful role. We believe the important aspects of software are deep in the details and lead-from-the-front managers who have an in-depth understanding of their team’s mission, product, and software and its connection to our overall company strategy truly thrive in our environment. The Adoption and Value Realization Team is responsible for driving meaningful engagement across our existing customer base. Our mission is to ensure that each AcuityMD user experiences the value and improved commercial outcomes of AcuityMD weekly or more — broadening consistent usage across our paid subscriber base and deepening usage of our most impactful workflows. This team owns the systems and experiences that connect product value to user behavior — including notifications across email, push notifications, and sms, as well as marketing enablement tooling, value storytelling, and our engagement dashboard. We build the feedback loops, activation surfaces, and insight tools that turn product capability into realized customer outcomes. • Partner with teams throughout the org and directly deliver product experiences that drive measurable increases in engagement and value realization, in close cross-functional partnership, • Partner closely with Product to define, instrument, and improve engagement funnels and feedback loops, • Build systems that enable intelligent notifications, get high-impact insights to our users, and help managers enable their team on the platform, • Lead experimentation and iteration cycles (A/B testing, behavioral insights, activation flows) to continuously improve our user’s AcuityMD engagement and sales outcomes, • Be a strong voice for technical excellence, a passionate advocate for thoughtful software design, and a mentor and coach who inspires engineers to grow, • Drive initiatives across our engineering team to build and reinforce our culture of expansive ownership, individual autonomy, and constant learning through curiosity, • Contribute meaningfully to the growth of each engineer individually and to the team’s overall operating capability, • Facilitate collaboration with other teams to deliver the best solution for the customer regardless of internal lines of ownership, • Take a leadership role throughout the engineering organization, including in our hiring and onboarding processes, • 5+ years of experience as a professional software engineer, • 3+ years of experience as a deeply-technical engineering manager, • Experience leading complex technical projects, • Proven track record of architecting, building, and delivering software, • Strong leadership, collaboration, and communication skills, • Experience working on growth, adoption, activation, or engagement-focused product teams, • Comfort operating in metrics-driven environments with clear ownership over behavioral and usage outcomes, • Strong product instincts and ability to translate ambiguous engagement and value measurement challenges into concrete engineering strategy You must have an eligible work permit in the USA to be considered for this position. AcuityMD is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, market data and may vary from the range provided. Base salary range: $220,000 to $265,000 • Ground floor opportunity: Join a high-growth startup, backed by world-class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health)., • Learning Budget: Reimbursements for relevant learning and up-skilling opportunities., • Remote work: AcuityMD is committed to supporting full-remote flexibility for employees in the US. We provide a work-from-home stipend for all employees., • Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work., • Paid Health, Dental, and Vision Plans: We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees' dependents., • Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement., • Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings., • Parental Leave: 8-16 weeks of fully-paid, flexible parental leave. The Company: We are builders, who are inspired by our mission to expand patient access to cutting-edge medical technologies. We value working collaboratively to solve hard problems for our customers with simple, innovative solutions. We push ourselves to learn with empathy. We foster an active culture of mentorship and inclusion, and we welcome new team members that share our values. We're backed by Benchmark, Redpoint Ventures, Ajax Health, and several other leading software and medical device investors. Since Acuity launched in 2020, we've brought on customers ranging from publicly traded Fortune 500 companies to innovative growth-stage companies and regional medical device distributors. The Product: AcuityMD uses data and software to help teams collaborate around the complex relationships they have with the users of medical technologies: doctors. Our platform empowers medical technology companies to see how their products are used, understand why outcomes vary, and identify opportunities where physicians or sites of care can better serve their patients. AcuityMD is an Equal Opportunity Employer AcuityMD is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage people of all backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of AcuityMD are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.

Vogelsang USA, LTD is a globally recognized leader in positive displacement pumps, in-line grinders, and advanced fluid handling solutions. Our products serve a variety of industries, including industrial, municipal, agricultural, and wastewater treatment applications. With a strong commitment to innovation, quality, and customer satisfaction, we provide cutting-edge pumping and grinding technology designed for high performance and reliability. As we continue to grow, we are investing in the next generation of our sales organization. We are seeking a Territory Sales Engineer who will serve as the face of Vogelsang in an assigned region, building distributor partnerships, engaging end-users, and developing into a full Regional Sales Manager over time. The ideal candidate bridges the gap between engineering and commercial aptitude: someone who can earn the respect of industrial distributors and end-users through technical confidence, while demonstrating the coachability and drive to grow into a seasoned sales leader. In this role, you will manage an assigned territory through industrial distributors and direct end-user engagement, applying technical knowledge to recommend pump and process equipment solutions across a range of industrial and municipal applications. Key Responsibilities: • Manage and grow an assigned territory through distributor relationships and direct end-user engagement., • Learn and execute channel-selling strategies, building productive partnerships with industrial distributors., • Apply technical knowledge to understand customer applications and propose appropriate pump and process equipment solutions., • Maintain a disciplined CRM practice using Salesforce as the primary tool for pipeline management, activity tracking, and forecasting., • Participate in training programs and product education to build deep expertise in our pump and process equipment portfolio., • Support key account management under the guidance of senior sales leadership., • Develop market presence across target sectors including biogas, water/wastewater, chemical processing, food waste, agriculture, and industrial manufacturing., • Provide technical presentations and product demonstrations to distributors and customers., • Report on territory activity, market intelligence, and pipeline progress in coordination with management What we are looking for: • Customer-facing confidence: the ability to engage credibly with industrial distributors and end-users from day one., • Coachability and learning agility: the willingness and capacity to develop new skills and adapt quickly in dynamic sales situations., • Commercial curiosity and sales drive: an emerging interest in consultative, value-based selling rather than transactional or commodity-focused approaches., • Distributor channel awareness: the ability to learn how to effectively sell through and partner with industrial distribution networks., • Willingness to travel: this is an outside sales role requiring extensive travel within an assigned territory., • CRM fluency: demonstrated experience with Salesforce or a clear ability and willingness to adopt CRM as a core daily work discipline. Required Qualifications: • Bachelor’s degree in Mechanical, Chemical, Process, or related Engineering discipline preferred., • Demonstrated ability to understand and communicate technical product offerings to both technical and non-technical audiences., • Proficiency with Microsoft Office suite; CRM experience (Salesforce preferred) strongly advantageous. Preferred: • Experience in industrial equipment sales or applications: valves, compressors, pumps, automation, HVAC, water/wastewater, or environmental systems., • Background in field service or commissioning with strong customer interaction experience., • Familiarity with distributor or channel selling models in industrial markets., • Experience in target market sectors: biogas, agriculture, waste management, chemical processing, food and beverage, wastewater treatment, or petrochemicals., • Prior experience transitioning from a technical or engineering role into a customer-facing sales position., • Competitive salary based on experience and qualifications., • Comprehensive benefits package including medical, dental, vision, 401(k), and paid time off., • Extensive onboarding and product training program to set you up for success., • A clear developmental pathway from Territory Sales Engineer to Regional Sales Manager., • The opportunity to represent a global leader in advanced pumping and fluid handling solutions., • A collaborative, team-oriented culture with room for professional growth and long-term career development.

Senior Machine Learning Engineer Remote US & Canada We are seeking a highly motivated and autonomous Senior Machine Learning Engineer to join our team. In this role, you will be a driving force behind our core ML models and underlying data and training pipelines. We are looking for a self-starter, someone who is internally driven, passionate about their craft, and capable of collaboratively identifying, prioritizing, and executing workflows with their peers and stakeholders. If you thrive in an environment where you are trusted to own your projects end-to-end and can seamlessly explain complex technical concepts to both technical and non-technical stakeholders, we want to hear from you. We expect you to: Have deep passion for video games and think on behalf of our players Be curious, a problem solver and a self starter who is comfortable taking risks and proactively identifying and pursuing business needs. Know how and when to apply your knowledge, and be willing to share it with those around you Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space Be responsible for your domain of expertise on projects from inception to delivery and beyond Required Skills 5+ years of experience in Machine Learning, Data Engineering, or a related quantitative field, with a track record of delivering end-to-end ML products Expert knowledge of statistical modeling and ML methods including Classical ML, Deep Learning, NLP, and Anomaly Detection, with the ability to select the right tools for the task Demonstrated proficiency in experimental design, hypothesis testing, and evaluating model performance Proven track record of building and deploying scalable ML solutions in production, ideally using Kubernetes and GCP Strong proficiency in Python, Java, or Scala, with an emphasis on writing clean, maintainable, and production-ready code, alongside the ability to write highly optimized SQL for complex dataset construction Mastery of optimized SQL and experience with big data processing frameworks (e.g., Spark, Beam) and modern data lakehouse formats (e.g., BigQuery, Snowflake, Iceberg, Parquet) Exceptional ability to translate complex technical architectures and ML concepts for non-technical stakeholders Preferred Experience Any of the following would be highly preferred, but most of all, we value team players who are eager to learn and contribute: • Experience with graph databases, collaborative filtering, or user vectorization, • Experience with large-scale sentiment analysis, • Experience with Typescript or Golang, • Experience with source control, CICD, Protobuf, or infrastructure as code, • Experience in the video game industry, • Experience in a small company with a startup feel, • Interest in technical writing and sharing your work Perks: • Paid Time Off, Holidays and Two Weeks Winter Break, • Employees and their dependents get medical, dental, and vision coverage, regardless of their level, tenure, or position within the company. Moreover, these benefits start on the first day of the job—there’s no waiting period before they kick in., • Pet Insurance for those who need it too., • Compassionate leave for employees who needs to take care of their family members, • Pre-tax wellness stipend, • Pre-tax work from home stipend, • Access our savings plan (401K program) with company match, • Mental health resources including Headspace membership and Employee Assistance Program (EAP), • Discount portal for everyday goods and services, • Employee inclusive and diversity initiatives such as Grow Together, • Support for personal professional development We look forward to meeting you! Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. The salary range for this position is $120,000 USD to $195,000 USD annually, with the opportunity to earn an annual discretionary bonus. This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Employees in this position are eligible to participate in the Company’s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, and paid time off. #LI-Remote

The Organization The PopHealth Learning Center (“Learning Center”) is a California Social Purpose Corporation (SPC) committed to transforming how health care is delivered and experienced across California, with a focus on low-income communities. Established to prioritize social impact over profit, the organization is grounded in a mission to bring together health care teams, insurers, and policymakers to keep communities healthy through care that works for patients, inspires providers, and lasts. The Learning Center serves as the Program Office for a statewide Medi-Cal focused practice initiative, the Equity and Practice Transformation (EPT) program, a $160 million-dollar investment in primary care transformation funded by the California Department of Health Care Services (DHCS). The Learning Center also works with a diverse portfolio of funders and partners - including Managed Care Plans, purchasers such as Covered California, and foundations including the California Healthcare Foundation and Blue Shield Foundation of California- to build Population Health Management (PHM) capabilities, advance value-based care and improve health outcomes for Californians. We serve as a strategic partner to organizations and institutions committed to advancing health outcomes and equity. All our efforts are grounded in a shared goal: supporting a more coordinated and person-centered healthcare system that strengthens primary care and advances equitable access across California’s safety net. The Learning Center is highly invested in making data enabled care a reality in the safety net of California. Primary care practices serving low-income communities have historically had disparate access to technology, data and innovations like Artificial Intelligence (AI). The Learning Center incorporates data enablement as a foundational element to all practice improvement work. To support our impact at scale, the Learning Center is building a secure, cloud-based data infrastructure on AWS to support the systematic collection, management, and use of data across programs, payers, and practice types, and to evaluate impact across the Learning Center’s full portfolio of services. This infrastructure brings together multiple data sources, with the PHMI Innovaccer platform serving as an important new input. Innovaccer represents a historically significant opportunity to aggregate data across health plans—particularly standardized HEDIS measures—allowing the Learning Center to assess practice-level performance consistently across payers and over time. Together, these investments are creating an integrated data ecosystem that supports quality improvement, performance accountability, and scale across California. The Position The Learning Center is seeking a visionary and experienced Senior Director of Data and Evaluation to lead our organization's data strategy and impact measurement. This role reports to the Chief Health Information Officer (CHIO) and will develop and oversee the data team which currently includes the Senior Manager of Data and Impact, Data Engineer, and multiple external contractors and consultants. The Senior Director will be responsible for developing and executing an enterprise-wide data strategy that supports strategic decision-making, program evaluation, business intelligence, and ongoing learning and quality improvement. They will also oversee the building and maintenance of the data infrastructure for the organization. To accomplish their work, the Senior Director will interface closely with executive leadership, the programs team, and external stakeholders. This position is ideal for an experienced data team leader who wants to bring their skills to our mission of transforming healthcare delivery through data-driven insights that advance health equity at scale in California. Required Experience and Background or What You Bring You are an experienced leader with deep expertise at the intersection of data, evaluation, and health systems. You bring credibility, vision, and technical expertise to strengthen organizational learning and evidence-based decision-making. Responsibilities include: Strategy & Business Intelligence Develop and implement an enterprise-wide data strategy across programmatic, operational, and financial data. Develop and maintain enterprise dashboards on metrics that matter to highlight progress, identify and mitigate risks, and promote learning. Support strategic data needs including ad hoc market analyses to inform Advisory Board discussions and business development opportunities. Optimizing Data Infrastructure Oversee nascent data infrastructure including AWS data warehouse and Tableau visualizations, and optimize integration between data platforms (Jotform, Salesforce, milestone portals). Establish and maintain data definitions, data dictionaries, validation approaches, and update documentation standards. Ensure data quality, security, and HIPAA compliance across all data systems. Oversee development of self-service tools (e.g. Tableau dashboards) for program leads to monitor program performance and enable real-time adjustments. Evaluation, Research and Dissemination Create and deploy a shared organizational approach for program evaluation with common elements to facilitate reporting to external stakeholders and funders. Drive alignment between program operations, analytic rigor, and PHLC’s strategic goal to demonstrate impact; provide data-driven recommendations on programmatic decisions Translate funder or program requirements into analytic plans using appropriate data and methodologies. Support generation of conference presentations, peer-reviewed publications, and other dissemination materials. Leadership and Collaboration Lead, mentor, and develop a team of data professionals including the Senior Manager, Data Engineer, and external contractors to build organizational capacity. Collaborate and support cross-functional teams across multiple projects with different funders, activities, and outcomes. Translate complex data insights for diverse audiences including funders, the Advisory Board, and external partners. Promote a culture of continuous improvement by identifying opportunities to enhance systems and team capacity. Act as a cultural steward, ensuring the Learning Center’s values of equity, inclusion, and collaboration are reflected in the data team’s work and interactions. Preferred Skills and Qualifications Including: The ideal candidate will be a seasoned leader of data teams in the health care environment. They will bring a collaborative spirit and a commitment to equity, along with the following qualifications: Required Masters Degree or higher + 7 years’ experience in health care environment e.g. public health, biostatistics, epidemiology, health services research. Minimum 5 years’ experience leading productive data teams. Demonstrated experience building data infrastructure. Strong program evaluation skills including logic model development. Strong analytical skills and familiarity with advanced analytics. Ability to translate multiple stakeholder priorities into high value analysis. Able to manage multiple workstreams simultaneously and meet rapid deadlines. Excellent written and verbal communication skills. Preferred History working with AWS Skill in data visualization, including Tableau Expertise analyzing secondary health plan data sets, including HEDIS. • Experience designing or using validated assessments in primary data collection., • Experience working in start-up organizations. Applications will be evaluated on a rolling basis. California residents are strongly preferred (San Francisco/Oakland/East Bay preferred). Compensation & Benefits The salary range for this position is $250,000 - $300,000. The Learning Center offers a generous benefits package that reflects our commitment to team member health and wellness. Our benefits package includes comprehensive medical, dental, and vision insurance, paid time off, life and disability insurances, a retirement plan, annual wellness days, and other resources designed to support the passion, commitment, and energy that is vital to our team members. All new hires being with a six-month evaluation period, which includes structured support and regular check-ins. The PopHealth Learning Center is an equal opportunity employer that does not discriminate on the basis of race, color, religion or belief, disability, gender, nationality, ethnicity, sex (including pregnancy, childbirth, or related medical conditions), gender identity or expression, sexual orientation, or any other status protected by law. Black, Indigenous, Latinx and other people of color, and LGBTQ+ people are strongly encouraged to apply. Reasonable accommodation will be made so that qualified disabled applicants may participate in the application process. Please advise in writing of special needs at the time of application.

Conversation. It’s the thread between our product and our people. The tool that enables us to forge relationships through compassion and expertise. To find the connection between our differences. It keeps us close together across borders and backgrounds and helps us create our shared vision. Rasa means tight-knit. We get to the point and have the courage to ask ‘why?’. Because through relentless experimentation, passion, and vision, we’re transforming the way people interact with organizations through AI. That’s Rasa. That’s our message. Join us and add yours. We are looking for a top-performing Account Executive to join our team, modeled after the industry's best "technical closers." You will drive revenue growth by identifying, cultivating, and closing complex deals with Fortune 500 and Global 2000 enterprises. In this role, you’ll take the time to understand each prospect’s unique challenges, map them to Rasa’s platform, and clearly show how we can deliver value — both to end users and to decision-makers. We are open to consider if you have been a top performer Mid-market / Corporate AE who is looking to level-up into Enterprise selling. You will understand and communicate how Rasa can be used across multiple industries and then manage complex deal cycles. We’re a startup, so you’ll have to be comfortable rolling up your sleeves and doing whatever is required to support our mission. However, you can expect to: Build and execute a territory plan to target high-value enterprise accounts. Like our top reps, you are expected to be a "full-cycle" hunter, generating your own pipeline while collaborating with SDRs and Marketing. Navigate multi-stakeholder sales cycles (6-12 months) involving technical champions (Developers, Architects) and economic buyers (C-Suite, LOB Heads) Bridge the gap between technical value and business outcomes. You must be comfortable discussing APIs, open-source models, or infrastructure integration with engineering teams. Lead a virtual account team (Solutions Engineers, Customer Success, Product) to win the technical win and the commercial win Drive and prove technical capabilities and business value of Rasa’s platform Forecast and manage your sales activity and pipeline to consistently hit revenue targets Work closely with our customer success team and develop new opportunities for our existing customers Collect and deliver customer feedback to the product team The role is: Full-time - 100% Remote - Continental USA This is a remote position, but the person needs to be based in the Continental USA Rasa cannot assist with work authorization (visa sponsorship) for candidates located in the USA. You are excited about AI assistants, machine learning and letting people interact with machines through text and speech. You are an experienced self-starter who works well with little supervision. You should be able to use your unique personality, creativity and grit to expand our pipeline with new high profile prospects while working with our key customers to increase Rasa’s adoption. Ideal candidates have: 5+ years experience in sales, specifically in complex technical domains (e.g., AI/ML, DevOps, Database/Infra) A proven track record of selling large deals (top 10% performance) Proven history of consistently exceeding quotas ($1M+ ARR targets) Experience closing 6-figure (100-500K) deals You don't need to code, but you must be "code-literate" or "infrastructure-fluent." - you can hold your own in a room with Engineering Directors A self-driven professional who works with urgency and accountability, demonstrated by a track record of building pipeline from scratch and a creative, customer-centric hunter mindset. Deep familiarity with sales methodologies like MEDDIC, Challenger, or Command of the Message You are ready to meet customers and prospects across your territory This role sits within our Sales department, reporting into our NAMER Sales Director. You will work with a solutions engineer and business development representative to build out your territory, progress opportunities through the buying journey and establish a partnership with key customers. You can find answers to FAQs about this role specifically on our _. Flexible hours and a dedicated remote budget A stipend for professional development & 6 paid education days to help you grow within your role Unlimited PTO + paid sick leave + paid public holidays A Macbook, and other tech to help you do your job We have regular remote team events, as well as an annual company-wide offsite Health benefits 401(k) contribution with up to 4% match Equity options You can find more information about our benefits per location here: _ Rasa is a leader in generative conversational AI, enabling enterprises to build and deliver next-level AI assistants. Merging a state-of-the-art engine with a user-friendly no-code UI, Rasa offers an open and adaptable platform that perfectly aligns with business logic. This innovative approach makes Rasa a reliable and trusted choice for enterprises seeking to enhance customer interactions while reducing costs. Rasa is privately held with funding from StepStone, PayPal, Accel, Andreessen Horowitz, Basis Set Ventures, and others. The company was founded in 2016 and is remote-first with a global presence. Rasa is an equal opportunity employer. We are still a small team and are committed to growing inclusively. We want to augment our team with talented, compassionate people irrespective of race, color, religion, national origin, sex, physical or mental disability, or age. You must be located in and a resident of the location(s) listed for us to proceed with your application.

Who is Sonar? Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile. We believe in developing great products that are supported by great internal teams and a strong culture. We are highly committed to and obsessed with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity, dedication, thoughtfulness, empathy, and passion daily. We are deliberate with our decisions with high clarity of intention. At the same time, we feel extreme urgency and move forward quickly. And lastly, we are highly effective and operationally efficient. We operate collectively as One Team to accomplish our goals. At Sonar, CODE is more than just an acronym – it's a mindset that defines daily operations. Why You Should Apply: At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help supercharge developers to build better, faster. Sonar helps to continuously improve code quality and code security while reducing developer toil. This means that developers can focus on doing more of what they love and less of what they don’t. Our solutions don’t just solve symptoms of problems – we help fix issues at the source – for all code, whether it's developer-written, AI-generated, or from third parties. We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. Team members should be able to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: supercharge developers to build better, faster. The impact you can have To sustain the growth of our customer portfolio and to extend our services offering, we are looking for Support Engineers. On top of joining a fast-growing and innovative company, you will have the opportunity to assist our customers around the world in deploying/using our solutions and adopting software engineering best practices as a whole. As a Support Engineer, you will contribute to Sonar products adoption and integration. You will provide an individualized level of service to our customers. You will guide them in finding the right implementation and advocate the best way to use our products. You will also investigate and solve customer issues in a timely manner. In Sonar, you will represent the customer voice in product discussions. • Help customers integrate our solutions across their development pipeline. It means helping with the technical integration with developer IDE, ALMs, and Continuous Integration chain; the integration to software lifecycle (SCM, build, test), and the integration to existing business applications (identity provider, database, etc.)., • Drive technical issues to resolution: from the qualification of customer concerns to conducting an in-depth technical investigation and managing customer relationships all along the way., • Collaborate with Sales and Consultants to improve overall customer experience and make sure that our Service offering brings maximum value to our customers., • Work with the rest of the team to listen, challenge, and refine customers feedback to feed discussions with product teams and shape product evolutions., • Have a voice in enhancing the way we work., • Software engineering best practices, with at least 3-5 years of experience in supporting, or maintaining and delivering high-quality software., • 2+ years experience using or administrating a DevOps pipeline: SCM (e.g. Git, SVN), IDE (e.g. Visual Studio, IntelliJ), CI (e.g. Jenkins Pipelines, Azure DevOps, BitBucket, GitLab). More than acronyms, these are the tools that our customers use and that our products integrate with., • Working knowledge of both local and cloud-based software deployment platforms and technologies, including Linux, Windows, Docker, Kubernetes, AWS, Azure, • Investigation skills to understand problems in their context and the ability to reproduce these scenarios., • Team player, receiving and giving feedback as well as sharing knowledge., • Can-do attitude: challenging status quo, leading and contributing to key improvements and innovations., • Excellent English, verbal/written communication skills, • Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness and embraces the right to fail (and get right back up again!)., • Great people make a great company. We value people skills as much as technical skills and strive to keep things friendly while still being passionate leaders in our domains., • We have a flexible work policy that includes 3 days in-office and 2 days work-from-home each week for those located near our office locations; some locations such as Dubai, India, Japan and Australia operate fully remotely., • We have a growth mindset. We love learning and believe continuous education is critical to our success. In an ever-changing industry, new skills are necessary, and we're happy to help our team acquire them., • As the leader in our field, our products and services are as strong as our internal team members., • We embrace transparency with regular meetings, cascading messages and updates on the growth and success of our organization., • We encourage usage of our robust time-off allocations with 27 PTO days for our employees based out of the Geneva region, plus additional days based on seniority and circumstances., • We contribute 60% of the total cost for your pension; 13.5% to 15.5% of your base salary for savings; 2% for risk., • Generous discretionary Company Growth Bonus, paid annually., • Commuting: Sustainable mobility options, including carpooling and the refund of 60% of the annual transportation subscription., • Global workforce with employees in 20+ countries representing 35+ unique nationalities., • We have an annual kick-off somewhere in the world where we meet to build relationships and goals for the company.

About Sezzle: With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping! About the Role: We are seeking a talented and motivated Principal Machine Learning Engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms. Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow. Responsibilities: • Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment., • Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively., • Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime., • Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases., • Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution., • Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency., • Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration., • Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge., • Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience., • At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment., • Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields., • Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions., • Proficiency with Python is required, and experience with Golang is a plus., • Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently., • Experience working with relational databases, data warehouses, and using SQL to explore them., • Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner., • Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models., • Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations., • Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams. About You: • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed., • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things, • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking., • You earn trust - you listen attentively, speak candidly, and treat others respectfully. What Makes Working at Sezzle Awesome: At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. #Li-Remote

Exnaton is a startup, spun out of ETH Zurich, which offers software for renewable energy to utility companies. Our software enables energy providers to set up energy communities and smart energy tariffs in their distribution areas. Users of our software can track their energy consumption and buy renewable energy from their neighbors, which makes investing in the energy transition simple and fun! Prosumers, dynamic electricity tariffs, and energy sharing are driving the energy transition and becoming integral components of the decentralized energy world. Our software is a cloud application that processes smart meter data and computes smart real-time prices for locally produced energy which makes renewable energy financially more attractive. End-users receive an app that maps the sources of their energy, making their electricity consumption more understandable. Our team is growing and we are looking for extraordinary, talented and motivated people to complement our team. We are a diverse team of engineers and business developers, all driven by the shared goal of using technology to create a sustainable impact in our society. If you're enthusiastic about contributing to this exciting journey, we invite you to be a part of our innovative and skilled team. The job can be performed remotely in EU countries. We operate a stack with a backend built in a micro-services pattern with polyglot services written in TypeScript, Python and C#. Technologies are chosen to fit the purpose. We deploy via GitOps (flux) and Helm to various Kubernetes clusters running on AWS (arm64 & amd64). Our frontend is written in next.js, served by a highly configurable headless CMS using our own component library. As a Fullstack Engineer at Exnaton, you will join our 30 people team and shape the company and its vision from the ground up. Among others, your main responsibilities are the following: Fullstack tasks: Developing a state-of-the-art application for the energy sector; Building highly reliable software and operating customer deployments; Working as part of a team of highly motivated and talented individuals and take ownership and responsibility of components in frontend and/or backend from conceptualisation to production. DevOps tasks: Ensure reliability and scalability of our software deployments for high availability and performance; Improve the efficiency and transparency of our development pipeline by streamlining workflows and automation; Optimize cloud infrastructure with efficient server provisioning and multi-tenancy architecture; Manage our AWS infrastructure & CI/CD pipeline by overseeing cloud resources and automating deployments; Enhance monitoring and logging of our different services and deployments to improve observability, quickly detect, diagnose, and resolve system issues and identify root causes; Improve and leverage our microservices architecture for scalability, efficiency and security; Strengthen system security by implementing best practices and improving access controls. We define ourselves by a culture of collaboration and ownership. We’re looking for a driven, capable, and thoughtful person to add to our mission. We are looking for someone who: Has 1-2 years of hands on experience in cloud/SaaS software development, with a strong understanding of modern software architectures; Has worked with one of the modern javascript frontend frameworks and has an understanding of core concepts, such as “component boundaries”, “state management”, and some experience with data visualisation; Has experience with microservices and event-driven architectures, optimizing for scalability and performance; Has hands-on experience with CI/CD pipelines, ensuring smooth and automated deployments; Has a deep understanding of cloud infrastructure, with experience managing AWS-hosted environments; Is familiar with containerization and orchestration tools, including Kubernetes, Docker, and Helm; Can work effectively under pressure, is able to troubleshoot and resolve critical issues efficiently; Has a willingness to handle urgent issues outside of regular hours in exchange for flexibility in availability; Is a team player who learns quickly and thrives in a dynamic, high-performance startup environment. We would consider it a big plus if you have an interest in renewable energy and sustainability. If you do not meet all of the above requirements but feel you would be a good match for our team do not hesitate to apply anyway. At Exnaton, you work in a dynamic environment with a flat hierarchy and direct communication, fostering quick operation and collaborative learning. You can also expect the following: Competitive salary and equity package; Flexible working hours and location as we believe in ownership and trust. We are a remote-first company and we support those working from different locations across the EU; Additional benefits such as a new MacBook, a learning budget, sports membership, or Headspace subscription; Virtual office for a truly interactive collaboration, even in a distributed team; Working with exciting technology for a really important purpose, together with a highly motivated team.

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) About Sezzle: With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping! About the Role: We are seeking a talented and motivated Principal Machine Learning Engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms. Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow. Responsibilities: • Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment., • Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively., • Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime., • Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases., • Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution., • Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency., • Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration., • Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge., • Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience., • At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment., • Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields., • Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions., • Proficiency with Python is required, and experience with Golang is a plus., • Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently., • Experience working with relational databases, data warehouses, and using SQL to explore them., • Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner., • Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models., • Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations., • Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams. About You: • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed., • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things, • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking., • You earn trust - you listen attentively, speak candidly, and treat others respectfully. What Makes Working at Sezzle Awesome: At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. #Li-Remote

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. The GenAI Security team within Reddit’s Security, Privacy, Assurance, and Corporate Engineering organization protects Reddit’s GenAI usage across employee tools, internal agents, and production user-facing systems. Our mission is to secure and protect Reddit’s AI traffic and GenAI adoption by default. We are building zero-trust, defense-in-depth systems that verify identity, permissions, data access, and semantic intent across AI workflows. A core part of this work is developing practical, high-quality ML models that detect and prevent security risks such as prompt injection, jailbreak attempts, sensitive data exfiltration, unsafe model behavior, anomalous usage, and unauthorized agent actions. We are looking for a Senior Machine Learning Engineer to lead model development for GenAI Security and help establish strong ML practices across SPACE. This role owns the full machine learning lifecycle: problem definition, data ETL, feature engineering, model training, model evaluation, deployment, experimentation, prediction, monitoring, debugging, and retraining. • Build and improve security-focused ML models for Reddit’s GenAI traffic, including guardrail models, semantic classifiers, anomaly detection models, and other neural network based security signals., • Own model development end to end: define the security problem, assemble and label datasets, build ETL pipelines, engineer features, train models, evaluate quality, deploy to production, monitor performance, and retrain from production feedback., • Use modern deep learning architectures, including neural networks, transformers, sequence models, embeddings, and model distillation where they are the right practical fit., • Design rigorous evaluation suites for adversarial examples, hard negatives, long-context inputs, structured payloads, tool calls, multi-turn workflows, and real production traffic., • Improve model precision, recall, latency, cost, calibration, and operational reliability for high-impact production surfaces., • Build repeatable MLOps workflows for SPACE, including training pipelines, model lineage, artifact management, holdout evaluation, dashboards, rollback paths, and retraining loops., • Partner closely with ML Infrastructure, LLM Gateway, DevX, Ads, Answers, Safety, Privacy, Compliance, and other Security teams to bring security models into real production workflows., • Work pragmatically with Reddit’s evolving ML platform, using existing infrastructure where possible and building focused tooling when needed to keep model iteration moving., • Translate security goals into measurable model outcomes and help partners understand tradeoffs between risk reduction, latency, false positives, and product impact., • Provide technical direction to other engineers and serve as a go-to ML expert for GenAI Security and broader SPACE model needs., • 5+ years of experience building, training, evaluating, and deploying production ML or deep learning models., • Hands-on experience with modern ML frameworks such as PyTorch, TensorFlow, or similar., • Strong practical understanding of the full ML lifecycle: problem definition, data ETL, feature engineering, training, evaluation, deployment, monitoring, debugging, and retraining., • Experience building data pipelines and working with large-scale datasets., • Experience designing rigorous model evaluations, including precision/recall/F1, false positive analysis, threshold tuning, calibration, holdout sets, regression tests, and production-quality validation., • Experience shipping production-quality software, preferably in Python and/or Go., • Strong communication skills and ability to explain model behavior, risk tradeoffs, and technical decisions to cross-functional partners., • BS degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience., • Experience in the following areas is a plus:, • Applying ML to security, privacy, trust and safety, abuse prevention, adversarial ML, or GenAI security problems., • Training or fine-tuning neural text models for complex inputs such as long-context prompts, structured payloads, code-like content, multi-turn interactions, or tool calls., • Production MLOps or model serving systems such as Airflow, Ray, MLflow, Triton, ONNX, Kubernetes, or similar., • Improving model quality through labeling strategy, hard-negative mining, synthetic data generation, distillation, or active learning. Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #LI-remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 - $303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Are you ready to revolutionize the advertising industry? At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale. With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry. Life At Cognitiv Our solutions provide advertisers with more time and freedom to concentrate on what matters to them most, both professionally and personally. We carry this philosophy into our workplace, offering our employees more chances to grow, collaborate, and achieve their goals. At Cognitiv, you will get MORE: - Festiv - Fun and positivity are integral to our work environment. From cross-departmental games to friendly competitions and unique events, we ensure a dynamic and enthusiastic culture. - Responsiv - Making a difference for our clients is at the heart of what we do. To make this one of our superpowers, we strive to create a culture of open communication and continuous learning. You will work closely with clients and key company stakeholders, sharpening your communication skills in a supportive environment where your input and ideas are valued and integral to our success. - Inclusiv - Diversity and inclusion are more than just words to us—they are principles we live by. We celebrate unique perspectives, ensuring everyone feels valued and respected. - Inventiv - As industry pioneers, we continuously reinvent and reimagine solutions. Sharing our knowledge and expertise to educate and lead the market is part of our DNA. If you love questioning the status quo, pushing boundaries, and challenging conventional thinking, you will fit right in. We admire intellectual curiosity and encourage it at every turn. - Transformativ - We invest in the continuous growth and development of our team members, celebrating their contributions and supporting their work-life balance and overall well-being. Our holistic training, onboarding programs, and professional growth and development initiatives ensure you have the resources to succeed. - Collaborativ - We transcend geographical boundaries, seamlessly operating across two coasts. Our culture thrives on cross-departmental collaboration and a unified sense of purpose, making teamwork a cornerstone of our success. We are looking for a Senior Site Reliability engineer to work on expanding our global footprint of datacenters and improve service management across Cognitiv. Our immediate challenge is to begin to rapidly expand our hybrid cloud infrastructure. Past that, we are a rapidly growing organization and need to continue to move toward industry best practices. This role demands an experienced engineer with the interest to rapidly learn our environment and help drive our long term service management roadmap. This position will be in our Bellevue, WA office with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday). • Design, implement, and maintain infrastructure across a growing footprint of co-located deployments., • Evaluate existing physical and network architectures and ensure we are set up for long term scalability and growth., • Work across engineering and product teams to scope projects tightly to core business requirements., • Drive engineering wide efforts to improve company service management efforts around deployments, monitoring, and disaster recovery., • Monitor and maintain shared infrastructure in our AWS environment., • An understanding of modern datacenter practices and experience configuring multi-dc deployments., • Deep knowledge of AWS infrastructure, networking, and management practices., • Proven experience with infrastructure as code and proficiency with python and bash., • An independent self-starter who looks at the big picture and takes ownership and independently seeks out new challenges with creative solutions., • A constructive, supportive team player, with good communication and interpersonal skills., • 7+ years of experience in operations, software engineering, or as an SRE., • Experience with hybrid cloud/on-prem solutions., • Hands on experience building out data-centers., • Willingness and interest to travel 1-2 times per quarter., • $160,000-$210,000 Base + EquityActual compensation is based on multiple factors that are unique to each candidate, including and not limited to job-related knowledge, level of relevant experience, education and skills. Base salary is just one component of your total rewards package at Cognitiv. Employees are eligible for equity and various benefits. Here are some of the many benefits that our employees receive: ● Medical, Dental and Vision coverage, including some plans that are 100% employer paid● 12 weeks paid parental leave● Career Ladders slated to advance your career● Unlimited PTO● Work-From-Anywhere August● Equity at all levels● Comprehensive onboarding program (Cognitiv University)● Hybrid work model● Daily Lunch On Us● Health and Wellness Stipend● Cell phone reimbursement● Parking Expense (CA & WA Offices)● 401(k) plan with employer match● Employee Assistance Program● Pre-tax commuter benefits and MORE! Cognitiv is an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to ensuring equal employment opportunities for all employees and applicants, regardless of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by federal, state, or local laws.

Fieldguide is establishing a new state of trust for global commerce and capital markets through automating and streamlining the work of assurance and audit practitioners specifically within cybersecurity, privacy, and financial audit. Put simply, we build software for the people who enable trust between businesses. We’re based in San Francisco, CA, but built as a remote-first company that enables you to do your best work from anywhere. We're backed by top investors including Growth Equity at Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more. We value diversity — in backgrounds and in experiences. We need people from all backgrounds and walks of life to help build the future of audit and advisory. Fieldguide’s team is inclusive, driven, humble and supportive. We are deliberate and self-reflective about the kind of team and culture that we are building, seeking teammates that are not only strong in their own aptitudes but care deeply about supporting each other's growth. As an early stage start-up employee, you’ll have the opportunity to build out the future of business trust. We make audit practitioners’ lives easier by bringing together up to 50% of their work and giving them better work-life balance. If you share our values and enthusiasm for building a great culture and product, you will find a home at Fieldguide. We’re hiring Deployed Software Engineers (Senior or Staff) to join our growing team. You will contribute as an engineer, take on leadership within a team, and help drive technical strategy across teams and customers. Leveling will be determined during the interview process based on scope and demonstrated experience. This is an opportunity to have outsized impact at a company with clear product-market fit and massive growth potential. We’re taking on legacy audit and accounting tools that are decades old, widely disliked, and ripe for disruption. Our engineering hub is located in San Francisco. This role is open to remote candidates anywhere in the US; Bay Area-based employees will work in a hybrid setting. Design, build, and deliver high-quality features that drive customer and business impact Work directly with customers to identify, ideate, and solve their most challenging problems Collaborate cross-functionally with product, design, & GTM to turn complex problems into elegant, user-focused solutions Balance iteration speed with long-term maintainability and system health Continuously improve our tech stack, developer workflows, and reliability practices Contribute to a supportive, growth-oriented engineering culture based on trust, learning, and excellence Travel up to 25% of your time Strong software engineering fundamentals and experience shipping production code Familiarity with modern web technologies such as TypeScript, React, Node.js, Python, and GraphQL Writing maintainable, well-tested, and observable code Sound judgment around tradeoffs, reliability, and performance Willingness to build a deep relationship with customers and develop creative solutions on our platform Ability to scope, prioritize, and deliver work that moves business outcomes Clear and proactive communication around progress, risks, and decisions Ownership mindset - following work through from ideation to production and iteration Empathy for teammates and customers; contributes positively to team culture Open to feedback and committed to continuous improvement Works effectively across disciplines and functions to achieve shared goals Ability to be a voice for the customer to key stakeholders around the organization Embodies Fieldguide’s values: Fearless, Fast, Lovable, Owners, Win-win, Inclusive Mentors and supports peers; contributes to hiring and onboarding processes Curious and self-driven in learning new skills, technologies, and domains Take increasing ownership - from building features to shaping architecture and mentoring others - as you grow. Lead complex projects or systems, setting technical direction and ensuring long-term health Collaborate with PMs and designers to shape roadmaps and define architectural tradeoffs Serve as a domain expert within one or more technical areas (e.g., frontend architecture, backend systems, developer experience) Mentor other engineers and help raise the technical bar across the team Manage relationships with some of our most complex customers with unique use-cases Drive company-level technical initiatives and influence cross-team architecture Set and champion engineering standards for scalability, security, and performance Partner with engineering and product leadership to define long-term technical strategy Serve as a trusted advisor to leaders across Engineering, Product, and Design Represent Fieldguide externally through writing, speaking, and open-source contributions Experience working with Applied AI, especially LLMs Experience or familiarity with audit, assurance, or risk management domains Shaping a new tech stack, product, or engineering org from the ground up History of demonstrated impact working directly with customers Working with infrastructure or data layers such as AWS, Postgres, and Hasura Architecting systems for document-heavy workflows, including ingestion, processing, and retrieval Integrating or building ML-powered systems for document understanding or search Applying information security and compliance principles (SOC 2, FedRAMP, etc.)

Role at a glance What: As Rally's founding Platform / Infrastructure Engineer, you'll take full ownership of our cloud infrastructure, CI/CD platform, and developer experience — building the foundation that lets our engineering team move fast, ship reliably, and scale into an AI-native future. Impact: You'll be the dedicated owner of Rally's CI/CD platform, Terraform infrastructure, preview environments, and agentic platform foundations — building from the ground up and setting the standard for how we scale. Team: You'll join our Engineering team as the founding member of a dedicated infrastructure function, reporting directly to a founding engineer Melvin, and working closely with leadership. You'll work closely with Platform and Product Engineers across the stack. Work style: Remote-first and able to work within the US timezones, with regular async collaboration and optional in-person team onsites. About Rally Rally is the User Research CRM that helps product, design, and research teams talk to their users quickly, safely, and at scale. Our platform automates the unglamorous parts of research—participant recruitment, outreach, screening, scheduling, consent, and incentives—so teams can spend more time learning from customers and less time wrestling with manual workflows. We're now building Rally's next chapter: an AI-native platform that handles the full research recruiting lifecycle, end to end. Trusted by teams at Google, Adobe, Figma, GitLab, Webflow, and others. Backed by Y Combinator, Stage 2 Capital, and Canapi Ventures. About the team Rally Engineering is a highly collaborative, user-obsessed group focused on making research smoother for both our customers and their participants. We work closely with UX Researchers, Research Ops leaders, designers, and product managers at some of the world's most user-centric companies. We use Rally to build Rally — talking to our own users frequently, running studies on our platform, and feeding insights straight into the roadmap. We favor small, empowered teams, high ownership, and a tight feedback loop between customers, product, and engineering. The opportunity We're hiring our first dedicated infrastructure engineer to take Rally from 1→10 on platform maturity. You'll have end-to-end ownership of CI/CD, developer experience, cloud infrastructure, and the agentic platform foundations that will define Rally's next chapter. Rally is in the middle of a massive shift in how companies run user research: from ad-hoc, one-off projects to continuous learning that informs every product decision. In this role, you'll help define what that future looks like — for Rally as a product and for the teams who rely on us to run research at scale. You'll join at a stage where we have strong product-market fit, a fast-growing customer base, and plenty of hard, interesting problems left to solve. What you'll do CI/CD: Evaluate, select, and own Rally's CI/CD platform. Define and track DORA metrics to drive continuous improvement in delivery velocity. Developer Experience: Build on-demand ephemeral preview environments for a large service footprint that can't run locally. Improve inner-loop developer workflows: build times, local tooling, and service scaffolding. Infrastructure ownership: Own Rally's full AWS stack (ECS/Fargate, Aurora PostgreSQL, MSK, DynamoDB), and mature our Terraform IaC — modularization, drift detection, CI for infra changes. Own cost optimization and per-team cost visibility. Observability & reliability: Maintain and evolve Rally's Datadog observability stack. Build automation tools and runbooks to reduce operational toil and accelerate incident recovery. Drive post-incident reviews and translate findings into systemic improvements that prevent recurrence. Security & compliance: Container scanning, secrets management, IAM least-privilege enforcement. Support SOC 2 audit requirements as needed. What you'll bring 5+ years in infrastructure, platform engineering, or SRE Deep AWS experience: ECS/Fargate, RDS/Aurora, MSK, DynamoDB Production Terraform with a track record of improving IaC maturity CI/CD platform experience Strong observability fundamentals Nice to have Early/founding platform team experience Node.js/TypeScript familiarity (Prisma, GraphQL) Kafka or equivalent event streaming operations Temporal or similar workflow orchestration Deploying Ephemeral/preview environments for complex distributed monolith architectures FinOps practices and cost tooling Edge/CDN deployment (CloudFront, Cloudflare Workers, Vercel) How we work Rally is a remote-first company with teammates across the US and Canada. We default to async communication, use clear written documentation to keep everyone in the loop, and reserve meetings for collaboration, decision-making, and relationship building. Remote-first: Work from anywhere in the US, with core collaboration hours that overlap across US time zones. In-person connection: We bring people together for periodic team or company offsites to build relationships, do deep-dive strategy work, and celebrate wins. High ownership: You'll have real responsibility from day one and a lot of trust to figure out the best way to get to outcomes. Customer-driven: We talk to users constantly and use those insights to drive decisions across Product, Design, Engineering, and Go-To-Market. AI-native: We're building an AI-native product and operating like one internally. We expect everyone at Rally to be actively experimenting with AI tools, challenging how they work, and finding ways to move faster. Compensation & benefits Base salary range (US): $190,000 – $225,000 USD per year. This range reflects the minimum and maximum target for new hires in this role across the United States. Within the range, individual pay is determined by factors such as job-related skills, experience, and location. Additional compensation: This role is eligible for variable compensation (such as equity awards) in accordance with Rally's applicable plans. Any such compensation is not guaranteed and is determined at Rally's discretion under the terms of those plans. Benefits for US-based full-time employees currently include: Competitive compensation and meaningful equity Flexible / unlimited PTO policy Medical, dental, and vision insurance Parental Leave 401(k) retirement plan Home office set-up support Monthly remote work stipend Quarterly in-person team offsite + annual company gathering Benefits may vary based on role, level, and location, and are subject to change as Rally grows. Our hiring process While the exact steps can vary by role, here's what you can generally expect: Initial conversation: A short call with our recruiting team to learn more about your background and share more about Rally. Hiring manager interview: A deeper conversation about the role, your experience, and what success looks like in the first 6–12 months. Technical coding challenge System Design Challenge Team and cross-functional conversations: Time with leadership and/or key partners to answer your remaining questions. We'll share details at each stage so you know what's coming and how to prepare! Rally strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity across our team. Our salary ranges are based on competitive market data for our size, stage, and industry, and may adjust over time as the market evolves. Rally is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, veteran status, or any other legally protected characteristic. We're committed to providing reasonable accommodations to candidates with disabilities throughout the application and interview process. If you need support or an adjustment at any point, please email us and let us know how we can help. This job description is intended to describe the general nature and level of work for this role. It is not a complete list of all responsibilities, duties, and skills required. Employment with Rally is "at will," which means either you or Rally may terminate the employment relationship at any time, with or without cause or notice, subject to applicable law.

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us. We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and _. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next. About the team Airwallex's Database team sits within the Infrastructure division and is responsible for the reliability, performance, security, and automation of Airwallex's database infrastructure — primarily Postgres (Google CloudSQL), Redis (Google Memorystore), Clickhouse and many more. The team's mission is to make databases invisible: product engineers should be able to provision, scale, and operate databases safely without needing to become database experts themselves. Today the team has 4 engineers across Singapore and China. We are expanding to Seattle to build a truly global team and to tackle the next generation of database automation — including AI-powered database operations, self-service platforms, and unified observability. You will join a team that values engineering rigor, automation-first thinking, and a bias toward building tools over performing manual toil. What you'll do As a Senior/Staff Software Engineer on the Database SRE team, you will design and build the platforms, automation, and AI-driven tooling that power Airwallex's database infrastructure. This is not a traditional DBA role — you are an engineer who builds systems that automate database operations at scale. You'll work across Postgres (CloudSQL) and Redis (Memorystore) on GCP, tackling challenges at the intersection of database reliability engineering, platform automation, and AI. Your work will directly impact the availability, performance, and security of the data layer that underpins Airwallex's global payments platform. This role is based in Seattle. Responsibilities: Build a unified database observability platform: Design and implement an "eagle-eye" view across all database instances, providing real-time visibility into availability, security posture, reliability metrics, and latency — enabling proactive issue detection before incidents occur. Build MCP (Model Context Protocol) for safe AI agent access: Design and implement secure interfaces that allow AI agents to safely query and interact with production databases, enabling the next generation of AI-powered internal tooling while maintaining strict security and access control. Build an Agentic AI DBA: Develop AI-powered automation that handles routine DBA tasks — performance tuning, capacity planning, schema review, incident triage, and remediation — reducing manual toil and enabling the team to scale operations without scaling headcount. Build self-service database platform: Create tooling that enables product engineering teams to provision, configure, scale, and manage Postgres and Redis instances through self-service workflows, with built-in guardrails for security, compliance, and best practices. Drive database reliability and operational excellence: Establish and enforce database best practices across the organization — connection pooling, query optimization, backup/restore strategies, failover procedures, and change management. Participate in on-call rotations for database incidents. Collaborate with engineering teams: Partner with product engineers to diagnose database performance issues, review schema designs, and provide guidance on data modeling and access patterns for Postgres and Redis. Who you are We're looking for people who meet the minimum requirements for this role. The preferred qualifications are great to have, but are not mandatory: 5+ years of professional software engineering experience with strong proficiency in backend languages such as Python, Go, Java, or Kotlin. Deep experience with PostgreSQL — performance tuning, query optimization, replication, backup/recovery, schema design, and operational best practices. Experience with Redis — data modeling, clustering, persistence strategies, and operational management. Infrastructure and cloud expertise: Hands-on experience with GCP (or equivalent cloud provider), infrastructure-as-code (Terraform), Kubernetes, and Docker. Demonstrated track record of building automation, tooling, or platforms that replaced manual operational work — not just operating databases, but engineering solutions that make operations scalable. Strong system design skills, with the ability to architect reliable, scalable infrastructure services. Preferred qualifications: Experience with Google CloudSQL and/or Google Memorystore specifically. Experience building internal developer platforms, database-as-a-service systems, or self-service infrastructure tooling. Experience with AI/ML technologies, LLM integration, or building AI-powered automation — particularly applied to infrastructure or operations use cases. Familiarity with MCP (Model Context Protocol) or similar patterns for safe programmatic access to production systems. Experience with observability tools (Grafana, Prometheus, Datadog) and building monitoring/alerting systems for database infrastructure. Experience in fintech, payments, or other regulated industries where data integrity, security, and compliance are critical. To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @ email address. Please apply only through or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.