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About the Job: We’re hiring a Director, Enterprise Acquisition, to oversee an elite team of high-performing AEs who focus exclusively on hunting and closing net new logos. We are looking for someone who can navigate complex enterprises. As a Director, Enterprise Acquisition Sales, you will directly manage enterprise AEs and oversee our midmarket acquisition team Manager. In this role you will develop multi-threaded relationships, orchestrate long and complex deal cycles, and position LaunchDarkly as a mission-critical part of modern software delivery. This is a highly visible, team quota-carrying role that requires a strategic mindset, strong executive presence, and deep enterprise sales expertise in the SaaS ecosystem. Responsibilities: Strategic Account Leadership • Lead an organization accountable for achieving and exceeding a multi-million-dollar annual revenue target across Fortune 1000 new logo opportunities, • Define and execute regional account and territory strategies that expand LaunchDarkly’s footprint with engineering, DevOps, platform, and product leadership teams, • Provide leadership and oversight on complex, high-risk enterprise negotiations, serving as an escalation point across legal, procurement, security, and architectural stakeholders, • Ensure consistent articulation and adoption of LaunchDarkly’s value proposition across the team, including progressive delivery, experimentation, developer productivity, and release safety Pipeline Generation & GTM Alignment • Establish regional pipeline strategy and operating cadence, ensuring sustained pipeline coverage through outbound programs, account-based motions, partner engagement, and executive-level selling, • Lead alignment across Account Executives, SDRs, Marketing, and Channel teams to drive predictable top-of-funnel performance and conversion, • Own forecasting rigor and pipeline governance, holding the team accountable for accuracy, inspection, and execution discipline within Salesforce Cross-Functional Partnership • Partner closely with Sales Engineering leadership to ensure consistent, high-quality execution of technical evaluations, proof-of-value engagements, and enterprise architecture discussions, • Collaborate with Customer Success leadership to drive effective handoffs, adoption outcomes, and long-term customer value realization across the regional book of business, • Synthesize and elevate customer and market insights to Product, Engineering, and executive leadership to inform roadmap priorities, packaging decisions, and industry positioning Executive Engagement & Thought Leadership • Coach and enable the team to build trusted advisor relationships with VP+, CTO, CPO, platform, and digital transformation leaders across strategic accounts, • Act as a senior leader sponsor on priority opportunities, articulating how feature management reduces risk, accelerates release velocity, and supports enterprise transformation initiatives, • Represent LaunchDarkly externally at regional events, partner forums, and industry conferences, reinforcing market credibility and supporting GTM objectives Qualifications: • Typically expects a minimum of 12 years of enterprise SaaS sales experience with a proven record of exceeding quota in complex, multi-threaded deal environments. Along with a minimum of 3 years of sales leadership experience, • Experience selling to technical buying centers—especially engineering, DevOps, platform, and product organizations, • Passionate about the net-new-logo acquisition aspect of selling, and ability to win over others about the upside of this type of role, • Prove success hiring, managing, developing a team of successful new-logo sellers, • Demonstrated success closing mid to high six-figure annual contracts, • Strong command of MEDDICC or similar enterprise qualification methodologies, • Excellent storytelling skills and the ability to translate technical concepts into compelling business outcomes, • Comfort navigating large enterprise organizations and orchestrating cross-functional deal teams, • Ability to travel up to 40% of the time based on business needs, • Previous success in a high-growth startup or scale-up environment, • Familiarity with LaunchDarkly’s ecosystem (AWS, Azure, GCP, HashiCorp, GitHub, Datadog, etc.) Pay: Target pay ranges based on Geographic Zones* for Level M4: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,000 - $295,000**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,000 - $265,000**, • Zone 3: All other US locations - $182,000 - $251,000** 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.

About the Job: LaunchDarkly is looking for an experienced Frontend 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. * Provide expert mentorship and support to teammates, guiding them through complex challenges and fostering a collaborative, high-performance environment. Your deep expertise will help accelerate their growth, elevate team standards, and enhance overall productivity and technical excellence. * 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. * Play a key role in advancing engineering standards, tooling, and processes across the technology organization. By identifying areas for improvement and implementing process innovations, you will shape a more efficient and effective development environment, empowering teams to deliver high-quality features faster. * Stay at the forefront of frontend 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: * 5+ years of software development experience with a focus on frontend development, or equivalent demonstrable skills and experience. * Proficiency with modern JavaScript libraries and tooling, such as React. * 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. * A proactive and self-directed approach to work. * Experience in a fast-paced, dynamic environment. * Experience working with distributed teams. Pay: Target pay ranges based on Geographic Zones* for Level 3: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860**, • Zone 3: All other US locations - $145,500 - $200,090 ** 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.

At ___, we’re building identity & access infrastructure for the agent-native era—where software isn’t static, but a dynamic, constantly changing system of AI agents working on behalf of people and businesses to complete dynamic tasks at runtime. Our mission is to unlock the agent economy by empowering developers and enterprises with the secure, scalable foundations they need to build, deploy, adopt, and trust agentic applications. To do this, we’re building the real-time, in-band, contextual guardrails required to transition from human-driven to truly autonomous and agentic workflows that give users, builders, and security teams the confidence and control they need to bring agents out of the lab and into production. At our core, we’re laser-focused on delivering a delightful, best-in-class developer experience that gives them the tools they need to create category-defining applications and experiences while giving platform and security teams the security, scalability, visibility, control, and enablement they need to accelerate their organizations journey to becoming agent native. We’re a small, distributed team of repeat founders and builders, with backgrounds from ___, ___, ___, and ___. Joining Keycard now means helping define not just our technology, but also the culture and company we’re building together—during a once-in-a-generation platform shift. We're hiring an engineer to join the team that builds and owns the Keycard Agent SDK — the libraries that bring trust, governance, and telemetry to AI agents in production. Keycard is a control plane for agents: policy enforcement, identity propagation, audit logging, and runtime governance. The SDK is how developers use it. It needs to work across languages (Go, Python, TypeScript, Rust), agent frameworks, and deployment patterns (cloud, edge, hybrid). You'll build the SDK libraries, maintain compatibility with upstream frameworks, contribute to open protocol work (MCP, A2A), and advocate for what agent developers actually need. You'll work directly with founders, product, and the systems engineers building the underlying services. * You follow the agent ecosystem closely — you build with these tools and have opinions about what works, what doesn't, and when to use which framework. * Strong systems engineering instincts. You write tests, think about backwards compatibility, version correctly, and care about API surface area. * You've built libraries or SDKs that other developers depend on. You understand the difference between building a product and building a tool others build products with. * You work across multiple languages without treating any of them as second-class. * Experience with plugin systems, provider architectures, or marketplace/ecosystem engineering (Terraform providers, VS Code extensions, Stripe integrations, etc.) * Contributions to open source agent frameworks or protocols * Background in identity/auth protocols (OIDC, OAuth, mTLS) at the library level * Experience with code generation tools (OpenAPI, protobuf, smithy) for multi-language SDK maintenance * Build at the Frontier: Work every day at the frontier of agent-native systems — shipping, inventing, and iterating on technology that hasn’t been built before. You’ll be given huge autonomy, the opportunity to gain mastery, and the chance to work in a team that holds each other accountable to succeed. * Truly Agent-Native Culture: At Keycard, we don’t just enable others to adopt agents — we use them ourselves to build. You’ll help shape an organization that embeds AI into its foundation as an enduring competitive advantage. * Compensation With Upside: Market-competitive salaries and generous equity packages (4-year vest, 1-year cliff) give you the security to focus on building — and the asymmetric upside of ownership in a company chasing a category-defining mission. * Comprehensive Benefits & Recharge: Health, dental, vision, and paramedical coverage for you and your family, plus 4 weeks vacation, 11 statutory holidays, and 1 volunteer day annually. We encourage at least 2 weeks off each year to fully recharge. * Tools That Keep You Ahead: A new MacBook Pro, a $500 stipend for peripherals, and the best AI tools available so you can work at the forefront of agent-native workflows. * Remote-First Flexibility: We are a remote-first team prioritizing asynchronous collaboration, with hiring focused in North and South America. Work where you’re strongest — we just want the best. Keycard is building the fundamental unlock for the next generation of software: enabling truly secure and trusted agentic applications. Under the hood, we’re building a new identity and access control stack to take us from a world of static, user-focused, long-lived roles and credentialing to one of mixed machine & human interaction that is dynamic, contextually-scoped, and short-lived. By joining as an early employee, you’ll have the opportunity to help curate a culture of iterative craftsmanship, disciplined design, empowerment to own meaningful problems, and consistent high-quality delivery with real impact. You’ll collaborate with the founders and investors who have championed identity, security, and developer tools from seed to scale with companies like Snyk, Auth0, and Heroku. If you’re energized by tackling complex distributed systems and want to advance both developer productivity and security posture, with a hunger to learn, have an impact, and move quickly with determination we’d love to explore how you can help us shape the future of software.

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with ___ or self-managed with the ), logs (). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a fully remote position and we're considering candidates in the US. The Opportunity: Grafana is building the Interactive Learning Plugin: an open source, in-product learning experience inside Grafana that helps users level up without leaving their workflow. We’re hiring a software engineer embedded in Developer Advocacy who ships real product code that directly impacts both Grafana Cloud and Grafana OSS. This is for an engineer who moves fast with strong judgment, is excited about AI-assisted development in open source, and wants to help build a platform where anyone can contribute high-quality learning content—not just engineers. Your primary focus will be the open source Interactive Learning Plugin:___ and its content: ___ What You’ll Be Doing: • Build delightful interactive learning inside Grafana, • Ship features that make learning experiences feel obvious, smooth, and scalable., • Improve the end-to-end learner experience—from onboarding to completion., • Enable contribution and authoring (especially for non-engineers): create workflows and product features that let many contributors safely create, iterate on, and improve learning content., • Support private guides and experiences, • Make completion tracking that actually matters, • Build progress and completion tracking that’s trustworthy, motivating, and useful., • Instrument learning flows so we can understand what’s working, what’s failing, and where learners get stuck., • Treat observability as a product principle, • Build fast feedback loops (metrics/logs/traces + user journey visibility) so issues stay shallow., • Make it easy to understand what’s happening in production and in real user experiences., • Ship fast with an AI-driven development workflow, • Work daily with tools like Claude Code or Cursor in an agent-based workflow., • Apply strong engineering judgment—scoping, iterating, verifying, and testing—so speed doesn’t compromise quality. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). This role includes participation in an on-call rotation as part of our DevOps culture. We believe in end-to-end ownership—those who build the software also help run and support it in production. What Makes You a Great Fit: We know it’s rare to find everything. You should be strong in at least two of the three areas below: • AI harness experience (agentic development), • You’ve used tools like Claude Code or Cursor in real development work (daily or close to it)., • You can describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness., • Serious software engineering fundamentals, • You can ship production-grade changes and explain tradeoffs., • You care about architecture, maintainability, correctness, and raising the quality bar (not “vibe coding” alone)., • Grafana context, • You’ve used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows., • You understand observability practices and how Grafana fits into them. You’ll also do a small but meaningful amount of communication work (~20%) which will include writing clear docs, design notes, and PR descriptions, as well as occasionally demo work or explaining decisions to internal/external audiences. Bonus Points For: • Meaningful open source contribution or maintainer experience, • Full-stack experience (strong frontend-only or backend-only profiles are also welcome), • TypeScript and/or Go, • Kubernetes familiarity, • Experience in the broader observability ecosystem (Prometheus, Loki, Tempo, Mimir, OpenTelemetry) Compensation & Rewards: In the United States, the base compensation range for this role is $174,986 - $209,983. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

At Scale, we develop reliable AI systems for the world's most important decisions. Scale's product marketing team is responsible for developing and executing strategies that drive awareness and adoption for Scale's offering. We understand our customers' needs and challenges and ensure that their voices are reflected in product development and messaging. We then partner closely with product, engineering, research, sales, comms, and the broader marketing team to create a cohesive customer experience across all our channels. This role sits at the center of Scale's GenAI data products, which power the world's leading AI labs. As one of the largest providers of high-quality AI training data, we've built our reputation on speed, quality, frontier research, and a growing suite of multimodal data capabilities. The market is evolving fast, and we're looking for a marketer who can go on offense to sharpen our narrative and build a playbook that earns the trust of the AI community. The ideal candidate combines strategic thinking with hands-on execution. You will: • Own positioning and messaging for Scale's GenAI data products, articulating our differentiation on data quality, delivery speed, and multimodal breadth in a way that resonates with AI researchers and technical buyers., • Lead the content and social strategy for ___' dedicated online presence, taking a research-native approach that earns attention and credibility from the AI community., • Build and maintain competitive intelligence and a sharp point of view on the data market, arming the team with differentiated positioning as the market evolves., • Partner with Scale Labs researchers to amplify published work - leaderboards, benchmarks, and research papers - and translate it into pipeline and demand generation for the GenAI business, • Develop go-to-market strategies for new data offerings and modalities, working closely with product and sales to drive awareness and build market momentum., • 5+ years of experience in product marketing, with a track record of marketing technical products to developer or research audiences., • Strong technical fluency and passion for AI. You can hold a credible conversation about AI/ML fundamentals, training, and the role of data quality in model performance., • Experience building social-native content and community strategies on platforms like X, with an instinct for what resonates with technical practitioners, • Excellent written communication and storytelling skills - you can make complex technical concepts compelling without oversimplifying them., • Familiarity with the AI training data market, or adjacent data and infrastructure spaces., • An existing network or relationships within the AI research community. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Our mission is for every child to have an exceptional experience in school. Edia is a Series A technology startup revolutionizing K-12 education with AI-driven solutions. We develop software to improve math education, tackle chronic absenteeism, and improve intervention processes for school districts. Today, Edia supports 200+ districts across the country (e.g. New York City, Denver, Fulton County, San Francisco, etc.). About the Role We're seeking a Senior Backend Engineer to join our team and help scale our Node.js applications on AWS. This role is different from a traditional engineering position: we've fully embraced AI-assisted development, and we expect most code to be written by AI tools. Your job is to direct that process effectively. You'll work across our entire product suite and internal tools, building robust systems that serve educators and students while also using AI to automate our business operations. What You'll Do * Architect and oversee backend systems across our product lineup and internal tooling * Guide AI coding assistants to implement large-scale changes and new features * Review, debug, and refine AI-generated code to production standards * Use AI internally to automate business operations * Ship full-stack features end-to-end What We're Looking For Essential skills: * Fast at reading code, human or AI generated * Strong debugging skills and an eye for bugs * Capacity to envision large architectural changes and break them into steps an AI can execute * Ability to context switch and juggle multiple in flight tasks * Experience with Node.js and cloud infrastructure (AWS, containers, managed databases) * Comfort working across multiple codebases and problem domains What sets you apart: * You think at systems scale * You're effective at communicating intent to AI tools and iterating on their output * You have good judgment about when to accept AI suggestions and when to push back * You're comfortable with ambiguity and can take ownership of loosely-defined problems Nice to have: * Frontend experience (React)—you'll be reading it regardless * Startup experience Why This Role Is Different We're not looking for someone who wants to write every line of code themselves. We're looking for someone who can leverage AI to move faster than traditional development allows, while maintaining the quality and reliability our school district partners depend on. If you're excited about working at the frontier of how software gets built, we'd love to hear from you. Work Authorization: We are currently unable to sponsor or transfer work authorization for all jobs. If things change in the future, we'll be sure to update this section. We appreciate your interest in Edia. Feel free to follow us on ___ to learn more about what we're doing to improve education outcomes in the US.

About the Job: LaunchDarkly’s AI Specialist will be at the forefront of revolutionizing how AI engineers think about, release, monitor, and optimize their agents, scaling up our LaunchDarkly for AI from initial market validation to an industry-leading product. You will represent deep, specialized LD4AI product knowledge, sharing your expertise with prospects and customers, gathering critical feedback that shapes product development, and driving early-stage adoption. Your expertise will be instrumental in establishing the Solutions Engineering frameworks that will guide our future success. This is a role for builders and storytellers who thrive in undefined spaces. You will be expected to build – meaning the construction of integrations, technical content, whitepapers, and tutorials, all alongside attractive demos of our product customized to strategic engagements. You'll work with the innovation coming out of LaunchDarkly's Product team and make a significant impact on how companies build and deploy AI applications. Responsibilities: Expert-Level Solutions/Sales Engineering • Represent the trustworthiness and confidence of serious expertise in practical AI applications in customer conversations (especially as an escalation point above an SE SME), • Spearhead the early-stage implementation and adoption of LD4AI at scale, working closely with existing customers to ensure activation and churn prevention (alongside feedback), • Develop and document Solutions Engineering playbooks and best practices that scale beyond our first customers, • Function as a tremendous partner to the LD4AI Chief of Staff, surfacing revenue-related insights with respect to the maturation of the product accordingly, • Support LD4AI POVs ran by on-the-ground SEs Collect and Propagate Product Feedback • Collaborate extensively with product and engineering teams to ensure product concepts are technically feasible and align with LaunchDarkly's strategic goals, • Drive continuous improvement by monitoring product performance, user experience, and market response, iterating based on actionable data and insights, • Confirm that LD4AI’s roadmap adheres to market demand and deliver exceptional user experiences, especially for the AI developer persona – vocalizing objections with data Build LD4AI Into The World • Deliver integrations against common, quantified customer requests in the form of code contributions, architecture diagrams, and whitepapers, • Function as a key technical asset in (with the Head of AI and the partnership team) technical partnerships with advantageous potential partners (like Anthropic, DataBricks, etc…), • Publicly evangelize LD4AI at mainstream industry conferences, webinars, partner engagements, and strategic meetings Technical Leadership & Communication • Function as the primary owner of the disbursement of enablement material to the SE team, particularly to the designated by team/region SE LD4AI SMEs (for which you have partial, dotted-line accountability), • Co-own Revenue Enablement of LD4AI along with the Head of AI and the LD4AI tetrad, • Work with the AI Researcher, the PMM team, and the Head of AI to build and maintain competitor playbooks Qualifications: AI & Technical Expertise • This role requires a minimum of 12 years of related technical experience, • Extensive experience with AI applications—building, implementing, or selling AI solutions at scale, • Experience building multi-agent systems using frameworks like LangGraph, AgentBuilder, or AgentCore, • Hands-on experience evaluating AI agent performance at scale using automated evaluation methods, • Deep understanding of LLM mechanics (you've read 'Attention is All You Need' and can explain transformer architecture in detail), • Experience building or interfacing with MCP (Model Context Protocol) servers, • Strong Python skills with experience building in PyTorch or TensorFlow, • Strong foundation in software engineering principles and current market trends Mindset & Approach • Strong but loosely-held opinions about AI—you have a point of view but update it based on evidence, • Ability to anticipate where the AI landscape is heading and position products accordingly, • Deep curiosity about how AI changes software development, with an obsession for staying current on new AI technology, • Natural storyteller who can take new technology and craft compelling narratives that resonate with technical audiences, • Thrive in ambiguity—you love figuring it out, building new processes, and working in undefined spaces Pay: Target pay ranges based on Geographic Zones* for Level 5: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,000 - $263,000**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,000 - $237,000**, • Zone 3: All other US locations - $163,000 - $224,000** 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.

The Role: SnapLogic is seeking a Staff Software Engineer to join our Agent Creator Team. This pivotal role will have you leading the development and enhancement of Snaps — our modular integration components — with a focus on agents and Generative AI capabilities. As a Staff Software Engineer, you’ll take ownership of the design, development, and deployment of complex integrations that utilize cutting-edge AI technologies to drive automation and enhance product functionality.Your role will involve shaping the architecture of next-generation agent-based integrations, leveraging Generative AI to simplify and streamline workflows. Beyond technical expertise, we are looking for someone who can also act as a coach to empower and mentor junior engineers, fostering both technical and professional growth within the team. This is a remote role with required travel to our San Mateo, CA HQ or for candidates located in San Francisco Bay Area, it will be a hybrid role with two days per week working at our San Mateo, CA HQ. • Develop and Innovate with AI: Lead the development of agent-based Snaps that leverage Generative AI to dynamically configure and adapt integrations across a wide range of platforms and data sources. You’ll design Snaps that simplify complex configurations using AI-driven approaches, enabling intelligent automation., • AI-Driven Product Design: Work with a forward-thinking approach to integrate AI and machine learning into Snaps, enhancing the user experience and enabling seamless, self-configuring integrations., • Coaching and Mentorship: Foster a collaborative and growth-oriented environment by coaching junior engineers and helping them develop both their technical expertise and career skills. Lead by example in creating a culture of learning, high standards, and accountability., • Cross-Functional Collaboration: Partner closely with product managers, data scientists, and other engineering teams to ensure that AI capabilities align with customer needs, and that products are built for scale and reliability., • Rapid Learning and Application: Stay ahead of the curve by rapidly learning and applying new Generative AI technologies and methodologies to solve integration challenges, while simultaneously ensuring the highest standards of code quality., • Debug and Troubleshoot Complex Issues: Quickly diagnose and debug issues in agent-based integrations, utilizing AI-assisted tools and debugging techniques., • Agile and Adaptive: Work on multiple, fast-paced projects while adapting quickly to new technologies and challenges., • Deep Expertise in Java: You have advanced proficiency in Java, object-oriented programming, and creating efficient, secure code., • AI and Generative AI Knowledge: Experience working with Generative AI models, automation tools, or similar technologies that facilitate intelligent, self-configuring integrations., • Leadership and Mentorship: You have experience coaching and mentoring team members, providing constructive feedback, and leading by example. You understand the importance of nurturing technical growth and building a collaborative, positive team culture., • Experience with Integration Protocols: You are skilled in working with web, network, file (JSON/XML/Parquet), and messaging protocols (HTTP, SOAP, REST, etc.), and have experience with APIs., • Strong Testing and Debugging Skills: You understand the importance of testing and debugging in delivering reliable enterprise software., • Initiative and Ownership: You work independently and take ownership of your projects, always seeking new opportunities to improve processes and products., • Customer-Centric Mindset: You are focused on delivering solutions that meet customer needs, ensuring that products are user-friendly and high-performing., • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field with 8+ years of relevant experience, OR

About the Job: Software powers the world, and LaunchDarkly empowers all teams to deliver and control the best software. As a Data Platform Engineer, you will help us build batch and stream processing pipelines that process trillions of events per day and deliver data to optimized derived tables that power all major internal and external products built on event data. Our platform serves over twenty trillion feature flags daily. To accommodate the large scale of our systems, we use state-of-the-art pipeline technologies in the AWS ecosystem, including Kinesis, Airflow, Spark, Lambda, Flink and Athena. We store data in databases including Clickhouse, Postgres, ElasticSearch, Timestream and Snowflake. As part of our you-build-it-you-run-it culture, all engineers support the pipelines in production, including in an on-call rotation. Responsibilities: * Build and expand our data pipelines and data products supporting Experimentation, Release observability, Metrics, Product Analytics and Flag Insights product lines, as well as internal Business Intelligence. * Collaborate with frontend engineers, product managers and UX designers to deliver user-facing features * Monitor and improve database and pipeline performance * Write unit, integration, and load tests as necessary * Actively participate in code reviews * Write and review technical proposals * Improve engineering standards, tooling, and processes Qualifications: * 5+ Years of backend software engineering experience * Minimum of 1 year experience building product focused Data Pipelines or Data Warehouse * Demonstrable experience with data pipelines, including some of Kinesis, Airflow, Spark, Lambda, Flink and Athena. * Experience with event or analytical data sets in databases including some of Clickhouse, Postgres, ElasticSearch, Timestream and Snowflake. * Familiarity with computer science fundamentals such as data structures, distributed systems, concurrency, and threading * A commitment to working in a communicative and collaborative environment * You write code that can be easily understood by others, with an eye towards maintainability * You hold yourself and others to a high bar when working with production systems * You value high code quality, automated testing, and other engineering best practices * Familiarity with Infrastructure-as-Code tools like Terraform or equivalent * Familiarity with observability tools like Datadog or equivalent Pay: Target pay ranges based on Geographic Zones* for Level 3: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,000 - $235,000**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,000 - $211,000**, • Zone 3: All other US locations - $145,000 - $200,000** 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 ___. Learn more about the interview process & what it’s like to work with ___! Do you need a disability accommodation? Fill out this ___ and someone from our People Operations team will contact you for assistance.

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with ___ or self-managed with the ), logs (). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants based in the Unites States (excluding PST timezones) at this time. The Opportunity: Every day, millions of users rely on Grafana to monitor the health and performance of critical systems, from software applications to industrial environments and spacecraft. The Identity and Access team builds Grafana’s sign-in and permission systems. Our goal is simple: make sign-in smooth for end users, and make access controls clear, secure, and predictable for administrators. The IAM team is responsible for authentication and authorization across Grafana, working across both our open-source and proprietary codebases. Our scope spans SAML, LDAP, OAuth/OIDC, JWT, and role-based access control (RBAC). Some integrations go deep, down to protocol details (for example, reading the SAML spec). The IAM team is redesigning Grafana’s edge authentication and multitenant storage for identity resources, which is a rare chance to work on modern identity infrastructure at scale. Our code runs in critical request paths, so design decisions directly affect performance, reliability, and security across Grafana Labs’ products. The team is evenly distributed across EMEA and NASA. What You’ll Be Doing: • Manage and grow a team of distributed engineers, conducting regular 1:1s and providing consistent feedback to support each person's performance and career development., • Partner with product management and engineering leadership to shape the IAM roadmap, balancing security requirements, platform needs, and customer impact., • Guide the team through the full project lifecycle: from early design and scoping through delivery and post-launch iteration, ensuring high-quality and timely outcomes., • Collaborate closely with cross-functional partners including security, platform, cloud infrastructure, and the broader Grafana engineering organization to drive initiatives that span team boundaries., • Foster a team culture grounded in security-first thinking, technical rigor, and a respectful environment where people can do their best work., • Contribute to technical discussions, helping the team make strong architectural decisions on authentication flows and multi-tenant design. As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude, good communication skills, and transparency are a must. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). What Makes You a Great Fit: • You take initiative, follow through, and can move work forward in a complex, security-sensitive problem space, even when not everything is fully defined., • Experienced in people management: conducting meaningful 1:1s, delivering candid feedback, supporting career growth, and navigating performance conversations., • You trust your reports to own execution. Your focus is setting direction, aligning on outcomes, and spotting risks early, not task-level oversight. You judge performance by impact and delivery, not process for its own sake., • Transparent and direct by default. You share organizational context with your reports and treat them as partners. You advocate clearly for your reports when they are not in the room., • You back your reports' decisions publicly, and escalate when needed to resolve cross-team conflicts. When priorities collide, you make the call or create a clear path to one; you do not leave your team to absorb the ambiguity alone., • Comfortable collaborating across time zones and cultures in a fully remote environment, using clear and empathetic communication to build trust and a supportive team environment. Requirements: • A strong software engineering background, ideally including work in backend systems using Go, sufficient to engage credibly in technical design discussions and challenge engineers toward strong decisions., • Familiarity with authentication and authorization concepts: OAuth 2.0, SAML, RBAC, OIDC, JWT…. You do not need to be a security expert, but you should be comfortable reasoning about identity and access problems., • Solid understanding of distributed systems principles: scalability, fault tolerance, consistency, and observability., • Demonstrated ability to manage delivery across multiple concurrent projects, align stakeholders with competing priorities, and communicate risks and timelines clearly., • Deeply customer-focused, consistently grounding technical decisions in real-world user and admin impact., • Comfort with AI-assisted tooling. We expect you to be curious and comfortable using AI-powered tools, ideally with practical experience integrating them into a team's workflow., • Strong mentoring and leadership skills Bonus Points For: • Experience working in security-critical environments, • Experience contributing to or maintaining open source projects, • Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry) Compensation & Rewards: In the United States, the compensation range for this role is USD 183,858 - 220,630. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with ___ or self-managed with the ), logs (). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from USA time zones only at this time. The Opportunity: At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments. What makes our team different is how we work: we operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. You’ll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You’ll Be Doing: • Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools., • Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks., • Collaborate cross-functionally: Work with data analysts, product managers, and designers to shape AI-driven product features, including integration of agentic components with internal tools, alerting systems, runbooks, and developer workflows., • Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows., • Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams., • Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). What Makes You a Great Fit: • Strong engineering skills: Solid experience building production software systems (backend and / or full stack). You’re a self-starter, capable of tackling complex engineering problems with minimal supervision., • AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory., • Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset., • Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined., • Collaborative attitude: You communicate effectively with peers, product managers, and designers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Requirements: • Experience with LLMs, prompt engineering, and building applications powered by GenAI., • Proven track record of delivering software that made it into production and is actively used by users., • Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure)., • Experience using observability tools to understand and troubleshoot system behavior. Bonus Points For: • Experience building or working with agent frameworks or multi‑agent workflows., • Experience with infrastructure / devops related tooling: Kubernetes, Docker, Terraform or similar for deployments., • Familiarity with model fine-tuning techniques., • Experience building observability tooling. Compensation & Rewards: In the United States, the Base compensation range for this role is USD 154,445 - USD 185,334. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed ___. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and more. Our mission is to develop reliable AI systems for the world's most important decisions. Scale's Global Public Sector (GPS) team is growing quickly and joining it is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale's work with governments and government-backed entities. This is a defense role. We're looking for a Staff Technical Product Manager to own critical product areas within Scale's Global Defense business, serving allied defense and national security customers. You'll be a critical builder, shaping and developing Scale's global defense products, while being the primary technical expert to our global customers. The ideal candidate brings together a strong engineering or ML background, entrepreneurial drive, the eagerness to be a hands-on builder, and the ability to get in front of senior technical and government stakeholders to drive mission-critical outcomes. You Will: • Own the product roadmap and execution for one or more product areas within Global Defense, driving what gets built and how it ships, • Be hands-on: write specs, prototype solutions, dig into technical architecture with engineers, and make product calls grounded in real technical understanding, • Design and ship AI-powered products and tooling for defense and national security workflows, working side-by-side with engineering and ML teams, • Use customer context to inform what you build - understand allied defense workflows deeply enough to make opinionated product decisions, not just relay requirements, • Navigate the unique constraints of defense product development across allied nations - classification environments, accreditation processes, air-gapped deployments - or be ready to learn these fast, • Builder mentality: you're energized by going from zero to one, not by managing from a distance, • 8+ years of experience in software engineering, ML engineering, or a deeply technical product role where you were hands-on with what shipped, • Technical fluency: software engineering or ML background (master's degree in computer science or equivalent experience). Experience training or evaluating models is a plus, • Deep intellectual curiosity about AI systems - you read papers, dig into technical details, and have strong opinions about how things should be built, • Enough customer instinct to know what matters, but your default mode is building, not selling, • Bias for action and comfort wearing multiple hats in fast-moving environments About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Description: At Novocure, every role contributes to extending the lives of people living with cancer. As our new Associate Territory Manager, Thoracic & GI Oncology, you'll play a key part in this mission. The Associate Territory Manager (ATM) supports the growth and management of key accounts across the Thoracic and GI portfolio, with a focus on Pancreatic and NSCLC indications. This is a field-based role operating across a mix of major academic institutions and large community oncology, radiation oncology, and medical oncology practices. You will partner closely with Territory Managers and cross-functional teams to drive performance and expand patient access to our innovative therapy. You will join Novocure at a dynamic and exciting time, working in a launch-phase environment that requires both autonomy and collaboration. Success in this role comes from being a resourceful self-starter who can balance strategic account development with hands-on execution, while maintaining a strong commitment to improving patient outcomes. Given the geographic scope of this role, candidates should be based within the assigned territory or within reasonable proximity to effectively support customer needs, ideally in Newark, NJ or Manhattan, NY (primary); New Haven, CT (secondary); Boston, MA (alternative). WHAT YOU'LL DO • Deliver field-based promotion and account management activities targeting oncology healthcare professionals across academic and community settings, • Develop and execute strategic account plans in collaboration with cross-functional partners, • Identify and unlock business opportunities through deep understanding of customer needs, practice models, and patient pathways, • Execute corporate and regional strategies with excellence to achieve territory business objectives, • Grow existing accounts and identify new opportunities within approved indications, • Provide coverage across territories as needed within the region, • Support customers with reimbursement and billing-related needs, • Collaborate closely with Territory Managers, Medical Scientific Liaisons, Regional Marketing, Device Support Specialists, Reimbursement, Sales Operations, and the broader US Business Team, • Introduce and onboard accounts to Novocure's HCP Portal, • Maintain accurate account and CRM records, • Support patient treatment by partnering with prescribing physicians and clinical staff to help initiate and manage therapy, • Conduct case reviews with healthcare providers to support continuity of patient care, • Ensure compliance with all Novocure policies, SOPs, and guidelines ABOUT YOU Minimum Requirement: • Bachelor's degree or equivalent experience, • Minimum of 3 years of sales experience, including at least 1 year in medical device or pharmaceutical sales with a proven track record of success, • Ability to work in a fast-paced environment with minimal supervision, demonstrating sound judgment and decision-making, • Strong ability to manage multiple priorities and collaborate effectively with internal and external stakeholders, • Excellent oral and written communication skills, • Flexibility to adapt to evolving business needs and customer demands, • Ability to travel 50-75% of the time and cover large geographic areas, • Must be eligible to work in the U.S. These additional qualifications are preferred: • Knowledge of oncology healthcare providers and institutions within the territory, • Existing relationships within medical oncology and/or hematology oncology, • Experience managing a territory-level oncology business including sales, local marketing, reimbursement, and technical support, • High level of ownership, accountability, and a proactive, solutions-oriented mindset WHAT WE OFFER This pay range which Novocure expects to pay for this role at the time of this posting is 90,000 - 120,000 USD. This position may also be eligible for an annual bonus and restricted stock unit grant in addition to a full range of benefits. Individual compensation within this range depends on a variety of factors, including, but not limited to, prior education and experience, job-related knowledge and skills demonstrated. ABOUT NOVOCURE Novocure is a company with a powerful mission, to extend the lives of people living with some of the most aggressive forms of cancer. Here your work will have a direct impact on patients and those who care about them. Join a team of passionate, collaborative people who support each other, challenge one another, and innovate together. Here, you will connect, grow, and make a real difference. We are a company with the drive of a startup and the strength that comes with 25 years of success. Novocure operates at a rare crossroad, where advanced medical technology converges with cutting-edge biotechnology. We are the only company to develop and commercialize Tumor Treating Fields (TTFields), a proprietary, groundbreaking therapy designed to disrupt cancer cell division. With us you will find a unique combination of laboratory research work alongside engineering development of advanced technologies. This fusion of disciplines positions us as true pioneers in oncology innovation, leading a new frontier in the treatment of aggressive cancers. Our patient-forward values • innovation, • focus, • drive, • courage, • trust, • empathy Novocure is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state, or local law. We actively seek qualified candidates who are protected veteran and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Novocure is committed to providing an interview process that is inclusive of our applicant's needs. If you are an individual with a disability and would like to request an accommodation, please email If you are excited about this role, please apply. #LI-RJ1

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. What you'll do: • Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI., • Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems., • Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work., • Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards., • Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation., • Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems, • Write clean, efficient, and sustainable code, • Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers What we're looking for: • This role will be on our Visual Search or Applied Science teams. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs., • Ability to legally work full time (40 hours/week) from September-December 2026, • Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field, • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow), • Proficiency with AI-native engineering, including the design of agent-friendly codebases., • High degree of autonomy in learning new agent-first development tools., • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability., • Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints., • Experience in research and in solving analytical problems, • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields, • Strong passion for research and for answering hard questions with research, • Meaningful Work: Contribute to projects that impact millions of users worldwide., • Mentorship: Learn from and be guided by experienced engineers and researchers in the field., • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection Information regarding the culture at Pinterest and benefits available for this position can be found___. US based applicants only The salary for this position is $12,100 monthly. #LI-HYBRID #LI-EB1 Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

About the Job: LaunchDarkly is looking for an experienced Staff Engineer to play a key role in shaping the future of software delivery at LaunchDarkly at the intersection of Releases and Observability on the Guardian 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 Guardian 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: * Prototyping / 0-to-1 innovation, lead the exploration and prototyping of new product concepts at the intersection of feature flags and observability, from integrations to new implementations. You'll operate with high autonomy to identify opportunities, rapidly validate ideas through proof of concepts, and define the technical direction for net-new product areas that expand Guardian's value. * Observability domain expertise and thought leadership, bring deep domain expertise in observability systems and apply it to reimagine how engineering teams understand the real-time impact of software changes. You'll serve as the team's resident expert on the evolving observability landscape, translating industry trends and customer pain points into concrete product prototypes that differentiate Guardian in the market. * 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. * Stay at the forefront of development trends, observability, 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. * 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. Qualifications: * 12+ years of professional software engineering experience, with a track record of shipping production-quality full-stack features * Experience with observability systems, statistical analysis pipelines, and event-based metrics infrastructure. * Strong architectural understanding of data platforms, backend services, and cloud-native infrastructure. * Experience leading 0-to-1 product development, taking ambiguous problem spaces from exploration through proof of concept to validated direction. * Deep familiarity with the observability ecosystem (APM, distributed tracing, OpenTelemetry, error tracking) and an informed perspective on where it's heading. * Demonstrated ability to work autonomously with minimal direction, comfortable defining what to build, not just how to build it. * Excellent communication, collaboration, and interpersonal skills Pay: Target pay ranges based on Geographic Zones* for Level 5: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870**, • Zone 3: All other US locations - $182,600 -$ 251,0202** 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 ___.

As a Senior Backend Engineer, you will engineer production agentic systems that directly serve hundreds of thousands of users at scale. Our Engineering Culture & Values. We are looking for expert engineers and leads to join our team and help us push the frontier of what's possible with Agentic workf

The Columbia Center on Sustainable Investment (CCSI) is seeking an Associate Research Scholar to advance its applied research, policy, and advisory work on integrated energy systems planning and finance. This role sits at the frontier of a rapidly evolving and increasingly integrated energy sector, where electrification, digitalization, e-mobility, urbanization, and emerging-market growth are transforming the operational logic and investment requirements of energy systems around the world. The position will engage directly with these dynamics, examining how system design, planning, and investment frameworks can optimize the integration of digital and physical infrastructure to support climate and development goals. This position will support the design and implementation of system-level strategies for low-carbon, affordable, and resilient energy transitions linking generation, grid infrastructure, and emerging load centers such as industrial corridors, data hubs, and clean-fuel value chains. This will include contributions to the development of integrated modelling frameworks, investment and financing roadmaps, and institutional and regulatory strategies that enable countries and regions to achieve net-zero, competitive, and inclusive growth. The position will bridge technical systems analysis with institutional and financial innovation to translate scenario-modelling outputs into investible transition pathways aligned with emerging global norms in climate finance, industrial policy, and digital infrastructure. This is a highly interdisciplinary position spanning energy systems analysis, sustainable finance, and public policy, and requires intellectual curiosity, creativity, and a pragmatic commitment to translating research into actionable solutions. This role will initially contribute to CCSI's work under the ASEAN Regional Integrated Energy System (ARIES) project, supporting the design of regional pathways, financing frameworks, and institutional mechanisms for coordinated energy system transformation across Southeast Asia. Key Responsibilities The Associate Research Scholar will contribute to CCSI's research and advisory initiatives through a combination of the following responsibilities, depending on evolving program needs and the individual's expertise: • Conduct interdisciplinary research on the planning, optimization, and financing of integrated energy systems, including cross-border grids, clean fuels, storage, and emerging industrial and digital loads., • Contribute to the design, development, and interpretation of energy system and macroeconomic models to identify least-cost and net-zero-consistent transition pathways, and to link those results / modelling outputs to investment and financing requirements., • Support the development of advanced multi-vector modelling frameworks that couple energy, water, and digital infrastructure, drawing on the latest approaches in integrated systems planning, electrotech deployment, and demand flexibility., • Analyze policy, regulatory, and market design options that enhance the affordability, security, and sustainability of energy systems across borders and sectors., • Support the development of financing and investment frameworks, including analysis of risk allocation, blended finance instruments, guarantees, sovereign and sub-sovereign borrowing, export credit agency (ECA) participation, and credit rating methodologies relevant to large-scale clean energy and infrastructure investment., • Conduct or contribute to research on cost-of-capital determinants, capital market access for emerging economies, and the design of mechanisms that can lower financing costs for public and private actors., • Explore and assess the role of regional and national financial institutions, development banks, and catalytic funds in mobilizing investment for integrated energy systems., • Engage with governments, regional institutions, utilities, development banks, investors, ECAs, and rating agencies to co-develop practical strategies for affordable and scalable financing of energy transitions., • Organize and facilitate consultations, workshops, and training programs to strengthen institutional and financial capacity for integrated system planning and implementation., • Collaborate on multi-stakeholder projects that bridge technical modeling, institutional reform, and financial innovation, including national and regional roadmaps for energy system transformation., • Draft and co-author research papers, policy briefs, roadmaps, and reports, synthesizing technical, financial, and institutional insights into clear and actionable recommendations., • Contribute to strategic outreach, communication, and knowledge-sharing efforts, ensuring that CCSI's research informs policy dialogues on sustainable infrastructure, energy integration, and reform of global financial architecture. The most important quality for this position is the ability and desire to think ambitiously, creatively, and pragmatically, and to bridge disciplines in pursuit of actionable, system-level solutions. Ideal candidates are self-motivated, intellectually curious, and collaborative, able to connect technical, financial, and policy insights into coherent strategies that shape real-world outcomes. In addition, the following minimum qualifications are required: • PhD, SJD, JD, LLM, or Master's degree with significant research experience in one or more of the following fields: energy systems, economics, sustainable finance, engineering, law, or public policy., • Demonstrated ability to conduct and synthesize interdisciplinary research across technical, economic, and institutional dimensions., • Strong analytical and writing skills, with the ability to translate complex concepts into actionable recommendations., • Familiarity with energy systems modeling, infrastructure planning, industrial decarbonization, or climate finance mechanisms (e.g., blended finance, guarantees, or sovereign credit structures)., • Demonstrated understanding of macroeconomic and systems-level implications of the current power and digital infrastructure nexus, • Experience working with or advising governments, utilities, multilateral institutions, or investors on energy, infrastructure, or finance issues., • Willingness to learn, adapt, and engage across diverse disciplines and stakeholder groups., • Regional experience in emerging markets preferred. Ultimately, the role contributes to a new generation of energy-system scholarship and practice that links digital transformation, electrification, and climate finance into coherent investment strategies. The Associate Research Scholar will engage with partners across government, industry, and finance to align technical insights with the institutional and capital architectures required for real-economy transitions that are affordable and effective. The search will remain open for at least 30 days after the advertisement appears and will continue until the position is filled. Appointments are made on a fiscal year basis and are eligible for renewal each July 1, contingent upon performance and funding. Columbia University benefits accompany this Officer of Reserch appointment. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

At ___, we're building the fastest data flywheel for physical AI. We generate synthetic data and simulation scenarios that allow robotics and autonomous systems teams to train and test their AI in minutes instead of months. Our customers use Bifrost to land spacecraft on Mars, detect pirates across the Atlantic, and build AI systems that work reliably in the real world. * Synthetic data and simulation platform for physical AI and robotics * Backed by Carbide Ventures, Airbus Ventures, Peak XV Partners (fka Sequoia Capital), Wavemaker Partners, CapVista, Techstars, Lux Capital and others * Used by NASA, Anduril, Honda, Mitsubishi, and frontier AI labs to build AI systems that work in the real world * Work with an exceptional team to solve impactful problems Main Quest We’re hiring an early-career Account Executive who wants to become elite at selling deeply technical AI software. This is not a traditional AE role. You will operate like a hybrid of: * Sales operator * Technical translator * Market mapper You’ll work directly with the CEO, engineering, and product teams to drive revenue in some of the most important and fastest-growing sectors in AI. That includes: * Working with Founders & Core team to go from 10 to 100 customers * Enhancing the existing winning playbook to drive new customer acquisition * Driving trials, and trial conversions across the established ICP * Helping the SDE team tweak their lead qualification process where needed * Owning and driving revenue metrics * Own full-cycle sales across target verticals (defence, maritime, robotics, autonomy, aerospace, etc) * Identify, map, and break into high-value accounts (governments, primes, advanced startups) * Run highly tailored outbound using modern AI sales and CRM tooling (Attio, Apollo, Clay, GPT agents, etc.) * Conduct discovery with technical stakeholders (ML engineers, Perception teams, Program leads) * Translate complex technical capabilities into clear business value * Partner with PMs and Solutions Engineers to land pilots, PoCs, and deployments * Work closely with leadership on deal strategy, pricing, and positioning * Continuously refine messaging based on market feedback * 1–4 years of experience in B2B sales, GTM, or technical customer-facing roles * Experience selling or working with technical products (AI/ML, developer tools, robotics, SaaS, infra, etc.) * Strong ability to learn and explain technical concepts * Evidence of high agency — you’ve built systems, not just followed playbooks * Comfortable working in ambiguity, early-stage environments, and founder-led sales motions * Excellent communication skills — especially with technical buyers * Demonstrated ability to prospect creatively and persistently * Strong interest in AI, robotics, autonomy, defence, or physical systems * Familiarity with modern GTM stack * Experience running outbound campaigns or building pipeline from scratch * Exposure to PoCs, pilots, or technical sales cycles * Strong writing ability (cold emails, proposals, narratives) What We Offer * Competitive compensation * Comprehensive benefits package (healthcare, PTO, etc.). * Opportunity to work directly with the founding team from Nvidia, Google, and Lucasfilms and grow quickly * A collaborative, supportive environment with plenty of room to explore new skills. * Great memes

Location: Remote - United States only. About the role: Ottimate is building the AI-native future of accounts payable. Our platform processes millions of invoices across hundreds of enterprise customers, powered by a suite of ML models and agentic workflows. As Director of AI Engineering, you will own the full AI and ML layer of our product — from invoice understanding and vendor intelligence to our conversational AP Copilot and the next generation of autonomous AP agents. This is a hands-on leadership role. You will spend at least half your time writing code, architecting systems, and driving technical decisions alongside your team. You will also set the AI roadmap, partner cross-functionally with Product, Data, and Platform Engineering, and manage a distributed team of 8–10 engineers across Data and ML. We are looking for a senior technical manager or director — ideally someone who has thrived at a smaller company and is ready for a career step up into broader ownership. If you are energized by shipping real AI products, working with noisy real-world financial data, and building the systems that will define how enterprises automate AP, this role is for you. Responsibilities Technical Leadership • Architect and ship production AI/ML systems — you write code, not just review it, • Own the AI roadmap end-to-end: prioritization, trade-offs, delivery, • Set technical standards for model quality, evals, observability, and reliability, • Drive adoption of agentic coding tools to multiply team velocity, • Claude Code, Cursor, Copilot, or equivalent — measure and improve PR throughput, • Manage a distributed team of 8–10 engineers across Data and ML disciplines, • Hire, develop, and retain engineers at all levels; build a high-trust remote culture, • Partner with Product on roadmap sequencing and scope trade-offs, • Work directly with customer-facing teams to close feedback loops on model quality, • Own model performance metrics and drive continuous improvement pipelines, • Build and maintain evals frameworks — regression suites, human review, A/B testing, • Oversee training data collection, curation, and labeling operations, • Manage the full ML lifecycle: experimentation, deployment, monitoring, iteration, • Define and enforce quality bars for agentic workflows entering production Applied AI & Agentic Systems • Production agentic pipelines using frontier models, • Anthropic SDK · OpenAI SDK · tool use, function calling, multi-agent orchestration, • Reliable agent loop design — planning, memory, tool execution, error recovery, • RAG pipeline design — chunking, embedding models, retrieval tuning, reranking, • Evals frameworks built from scratch — correctness, regression, semantic similarity, • Fine-tuning frontier or open-source models for domain-specific tasks, • LoRA, QLoRA, instruction tuning — not just off-the-shelf API calls, • Training data collection, curation, cleaning, and labeling at scale, • LLM inference and serving optimization, • vLLM, TGI, or equivalent, • Hands-on Python — comfortable writing, reviewing, and shipping production code, • PostgreSQL — schema design, query optimization, indexing strategies, • Distributed systems — async workers, queues, retries, state machines, • Celery or similar async task frameworks is a bonus, • Public-facing API design — REST, versioning, developer experience, • MCP server development — tool-accessible APIs for AI agent integration, • Engineering Manager ready for director-level ownership, • Has led technical teams at a startup or growth-stage company — knows how to move fast, • Hands-on contributor who has also managed small high performance teams., • Finance and/or AP domain — invoice workflows, GL coding, vendor management, • Hospitality — high-volume, multi-location AP operations, • Noisy, unstructured text data — OCR outputs, inconsistent supplier formats, entity resolution at scale ★ Industry experience above is a bonus Exceptional AI engineering skills are the primary bar. We will teach the domain. We care deeply about making Ottimate an incredible place to work and invest a significant amount of time and energy into creating and maintaining a company culture that provides our team with a generous level of support whilst inspiring them to do their best work. The specific benefits/perks we offer are continually evolving, but currently include: • Compensation: 200,000-225,000 + 15% Annual Bonus, • Competitive salary based on skills & experience., • Medical, Dental, Vision and other Company-Subsidized Benefits for you and your family., • Employer sponsored 401(k) with company match., • Paid Time Off (and the encouragement to use it)., • Annual company retreats., • Promote from within philosophy. Beyond the tangible benefits though: • You will be part of a growing team, at a pinnacle moment of scale for the business, and experience the excitement of working in a startup where each action makes a huge difference., • You will have the agency to solve difficult problems creatively, the freedom to explore work that inspires you, and infrastructure to ensure you're constantly challenged and developing., • You will work with sharp, passionate teammates solving some of the most unique challenges and positioning our product as a premier finance automation solution., • Our commitment to empowering a diverse and inclusive workforce, celebrating differences, and creating a safe space for our employees to bring their whole selves to work is second to note., • We are transforming entire industries using innovative technology including Artificial Intelligence, Payment Tech, and Neural Networks., • Our leaders lead with a people-first approach; inspiring excellence, nurturing ideas, and finding creative ways to eliminate obstacles for cultivating growth., • We truly love what we do and who we do it with - and we think you will too! Ottimate is an equal opportunity employer that is committed to diversity and inclusion. We do not discriminate based on race, color, national origin, religion, gender, gender expression, sexual orientation, age, veteran status, disability status, or marital status. If you are excited about the role but do not meet 100% of the qualifications listed above, we encourage you to apply. Nothing in this job posting should be construed as an offer or guarantee of employment.

About the Job: As a Staff Product Manager, you will drive business outcomes for LaunchDarkly’s core products: feature management for Enterprises. LaunchDarkly already serve a huge portion of the Fortune 500, and your mission is to help customer adopt LaunchDarkly across their entire organization. In this role, you’ll partner with engineering and design to define how the largest teams manage feature delivery and shape our long-term strategy for software control. You’ll lead strategic planning, market and customer research, and collaborate across revenue, marketing, and technical teams to accelerate adoption and deepen platform usage. We’d prefer this person to be based on the East Coast, but are open to remote US for the right candidate. Responsibilities: * Discovery: Lead in-depth discovery efforts with customers, market analysis, and competitive research to identify strategic product opportunities. Translate insights into actionable long-term product vision and roadmap. * Product strategy: Own the end-to-end product lifecycle, including definition, planning, prioritization, and execution. Collaborate with engineering and design counterparts to scope and deliver high-impact initiatives that align with organizational objectives. * Project leadership: Define and lead the execution of complex product initiatives, balancing risk, technical feasibility, and business value. Ensure alignment across stakeholders and deliverables meet high-quality standards and timelines. * Customer Relationships: Build and maintain deep customer relationships with our largest customers. Understand their needs and identify and remove obstacles to growth. * GTM relationships: Partner with go-to-market teams, including sales, marketing, and customer success, to launch and promote new features. Provide clear product positioning, enablement, and support. * Be a trusted partner and leader: Act as a senior liaison for key customers and internal stakeholders. Gather strategic feedback, align product direction with client needs, and provide expert guidance on solution adoption and use. About You: * Fluent in the developer tool landscape: You have a strong grasp of how modern engineering teams build, test, deploy, and operate software—and you stay curious about emerging tools, trends, and technologies that shape developer workflows. * Customer-centric: You are driven to deeply understand customer challenges and needs, and craft solutions that both achieve business outcomes and provide real differentiating value. * Product sense & passion for craft: You love great software, and can’t stand bad software. You have a strong focus on craft, quality, performance, and trust. * Collaborative: You excel at partnering flexibly with diverse teams – refining problems, prioritizing, and shaping solutions with cross-functional partners. * Excellent storyteller: You communicate complex ideas with clarity and empathy—whether in product briefs, customer narratives, or executive updates—to align teams and inspire action. * High agency: You are motivated to achieve success and have a strong sense of ownership to deliver great outcomes across a broad range of responsibilities. If you see something that needs to be done, you make sure it happens. * Business acumen: You have a proven track record tying technical solutions to business objectives, and can align projects to meet customer and company goals. Qualifications: * Technical insight: 5+ years building developer tools or infrastructure products. Experience translating complex technical requirements into product roadmaps and leading technical solution design discussions with engineering teams. * Modern development expertise: Direct experience with CI/CD, feature flagging, microservices, or cloud-native architectures. Track record of identifying and capitalizing on emerging developer workflow trends (e.g., GitOps, platform engineering, observability). * Self-directed learning: History of successfully ramping on new technical domains within 30-60 days. Examples of becoming the go-to expert for complex customer use cases or niche product areas. * Project leadership: Led 5+ cross-functional initiatives involving engineering, sales, and customer success that delivered measurable outcomes on time. * B2B SaaS product experience: 4+ years as a product manager at a B2B SaaS company, preferably developer tools or infrastructure. * Revenue impact: Quantifiable examples of product decisions that drove ARR growth, reduced churn, or improved key usage metrics. Experience setting and achieving OKRs tied to business outcomes (e.g., "increased feature adoption by 40%" or "reduced time-to-value by 2 weeks"). Pay: Target pay ranges based on Geographic Zones* for Level 5: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870**, • Zone 3: All other US locations - $182,600 - $251,0202** 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.

___ is transforming how companies discover, evaluate, and maximize the impact of events. Event marketers are the driving force behind pipeline and brand — yet events remain one of the least optimized and most opaque marketing channels. Vendelux changes that. We provide the system of record for event marketing, giving teams the data and insights they need to make smarter, more strategic decisions. Our AI-powered platform delivers proprietary insights across 250,000+ events, helping high-growth companies identify where their ideal customers will be, maximize ROI, and turn events into a scalable growth channel. Customers often describe Vendelux as an event marketer’s dream. A key part of this is our growing network of event organizer partnerships — where organizers share first-party attendee and sponsorship data, and in return gain access to valuable market insights. In addition, Vendelux Meetings helps customers turn event insights into action — using AI to identify high-value attendees and automatically book 1:1 meetings with the right prospects at conferences. This allows teams to maximize pipeline generation and make every event materially more impactful. Founded in 2021, Vendelux is a Series A SaaS company backed by leading investors including FirstMark, with a recent $14M round. Our team brings experience from companies like Bain, ZoomInfo, Shutterstock, Compass, Forter, Airbnb, and more. About the Role AI is no longer an engineering story at Vendelux. It's a company story. The way our sales team prospects, the way product researches, the way ops runs processes, the way data answers questions. All of it is changing fast. We're looking for a Staff AI Enablement Engineer to be the technical force behind that change. This role sits at the intersection of deep AI infrastructure and cross-functional impact. You'll build the MCP servers, agent pipelines, context frameworks, and orchestration layers that make AI genuinely useful across every team - not just for the engineers who've already figured it out on their own. The work is hands-on and technical. The impact is company-wide. If you're the person at your current company who got everyone on Claude Code, wired up MCP servers for internal tools, and is already running agents 24/7, you might be exactly who we're looking for. What You'll Do Build the shared AI infrastructure layer * Design, build, and maintain MCP servers that connect our internal systems like Github, Snowflake, Linear, Notion, Slack, and others, to agents running across every function * Establish and own our context engineering standards: ___ / ___ conventions, shared context/ directories, architecture docs that make our agents deeply aware of how Vendelux works * Build the memory and persistence layer for long-running agents: session continuity, proactive scheduling, cross-session context * Own orchestration infrastructure for multi-agent workflows: coordination, sub-agent spawning, token budgets, permission boundaries * Maintain codebase health as the system scales: shared component libraries, automated quality gates, fragmentation checks, doc validation in the PR pipeline Drive adoption across every function * Partner with sales, ops, product, marketing, legal, and data teams to identify where AI can fundamentally change how a team works and build the agents that make it happen * Get every team to their “aha” moment fast: preconfigured environments, pre-connected tools, skills they can run immediately without debugging * Build and grow a skills marketplace where anyone can package a workflow and share it company-wide so one person’s breakthrough becomes everyone’s superpower * Create visibility and healthy competition around AI usage: leaderboards, showcases, Slack channels, all-hands demos that make building contagious * Identify force multipliers on every team (the people who get it early) and give them the platform and resources to bring their teams along Build purpose-built agents for non-engineering teams * Each agent isn’t a chatbot. It’s a composition: the right MCP integrations, the right document access, the right memory system, the right workflows assembled into something that genuinely serves a function’s real work * Work closely with domain experts to turn institutional knowledge into something an agent can act on; the best agents are co-created, not handed down * Given Vendelux’s focus on event intelligence and pipeline, there’s particular leverage in agents that understand our data models, account scoring, and sales workflows Own the hard infrastructure problems * Manage the access vs. safety tension: permissions scoping, token budgets, rate limiting, observability dashboards — guardrails that enable rather than block * Maintain reliability across agent infrastructure as the system grows: graceful degradation, fallback models, cost tracking * Evaluate frontier models, new MCP tooling, emerging agent frameworks, and integrate what's worth integrating before competitors catch up What We're Looking For Technical depth is the baseline. The ability to move others up the proficiency curve is what makes you exceptional in this role. Required * Strong software engineering fundamentals. You're building real infrastructure that teams depend on, not configuring existing tools * Deep hands-on experience with frontier AI agents (Claude Code, Codex, or equivalent) and the context engineering that makes them actually useful in complex codebases * Practical, production experience building with LLM APIs: tool use, multi-turn state, system prompt architecture, structured outputs, multi-agent orchestration * Hands-on experience with MCP or similar integration frameworks. You've connected agents to real production systems, not just toy examples * Experience designing for non-technical users: the agent that works for a software engineer is not the same as the one that works for a sales rep or an ops manager * Comfort working cross-functionally. You'll spend as much time talking to a head of sales or a product lead as you will writing code Nice to Have * Background in platform engineering, developer tooling, or data engineering * Experience with proactive/scheduled agent systems (not just request-response) * Familiarity with vector stores, RAG pipelines, or knowledge graph approaches for agent context * Experience with CI/CD automation involving AI agents * Exposure to B2B SaaS data models, CRM/MAP integrations, or event/attendee data What “Staff” Means Here Staff isn't a senior role with a better title. It means: * You identify the highest-leverage problems across the company without being told what they are * You define the technical direction for AI infrastructure and hold the standard across teams * You operate with wide autonomy and are accountable for outcomes, not just execution * You bring other engineers along: mentoring, documenting, setting patterns others can follow Why This Role, Why Now The gap between AI-native teams and everyone else is widening fast. At Vendelux, we're at an inflection point: our data assets — event intelligence, attendee behavior, account signals — are exactly the kind of domain-specific context that makes AI agents genuinely powerful rather than generic. The AI Enablement Engineer's job is to make that advantage real across every team. To make intelligence self-service, the same way DevOps made infrastructure self-service. One afternoon of setup, connecting the right agent to the right data and deploying it where a team already works, creates a permanent productivity gain that compounds. We're looking for the person who already knows this and wants the scope to do it at scale. Not all candidates will check all of the requirements listed above and that’s ok! We are open to great people from non-traditional backgrounds. Vendelux is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

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The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. At Metropolis, we are revolutionizing the way people and cities interact through innovative technologies. Develop and implement a community outreach plan aligned with Metropolis

What you'll do** Mercor is partnering with leading AI labs to advance frontier agent evaluations in clinical documentation. As a Clinical Documentation Expert, you'll build long-horizon documentation tasks that mirror the work you already do, each paired with a deterministic rubric that grades agent

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Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.Overview A leading AI lab is advancing the frontier of generative AI by training Large Language Models to reason rigorously ac

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Slack or Teams, Jira, Confluence, etc) - Design multi-step tasks grounded in your real workflows that require navigating multiple apps, files, and stakeholders in a way that meaningfully challenges frontier AI agents - Collaborate with other account executives and enterprise sales experts to design

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About the role:** We're partnering with a leading AI lab to evaluate how a frontier model performs on long-horizon protein-design problems.We're running a small, hands-on project with senior protein-design experts to author and evaluate well-scoped design problems — and to iterate live with our te

What you'll do** Mercor is partnering with leading AI labs to advance frontier agent evaluations in compliance.As a Compliance & Regulatory Expert, you'll build long-horizon compliance tasks that mirror the work you already do, each paired with a deterministic rubric that grades agent performance ag

Baseten powers mission-critical inference for the world's most dynamic AI companies.We enable companies operating at the frontier of AI to bring cutting-edge models into production.Join us and help build the platform engineers turn to to ship AI products.We are looking for an Account Executive to jo

At Harvey, we're transforming how legal and professional services operate not incrementally, but end-to-end.By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we're reshaping how critical knowledge work gets done for decades to come.This is a rare chance to h