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Job Description Senior Process Engineer – Help Pioneer the Future of Optical Computing Hardware! Gardena, CA | Onsite Opportunity Summary A well-funded stealth startup is developing breakthrough optical computing hardware designed to surpass the limitations of traditional electronics. Backed by experienced founders and early-stage investors, the team is combining advanced photonics, packaging, and manufacturing under one roof. We’re looking for a Senior Process Engineer to lead key development efforts in wafer and die-level packaging. This role is hands-on, highly technical, and central to launching our first product. About Us We’re an ambitious group of engineers, scientists, and builders focused on optical computing innovation. Our startup combines experience from previous frontier tech ventures with a shared mission to redefine how light is used in computational systems. With early funding secured, we're building both the hardware and the factory floor to scale it, developing vertically integrated systems that blend photonics, electronics, and manufacturing into a cohesive, next-generation computing platform. Job Duties • Develop and own process recipes for wafer-level and die-level packaging techniques, including eutectic bonding, flip-chip attachment, underfill, and protective coatings, • Achieve high-yield bonding (>99.9%) and ensure thermal reliability through 20,000+ cycles, • Analyze failure mechanisms using X-ray, SAM, SEM/TEM, shear testing, and other methods, feeding results back into process and design improvements, • Lead the transition of R&D processes into repeatable, high-volume production workflows using SPC and tool selection methodologies, • Serve as technical lead for corrective actions stemming from root cause analysis and field data, • Collaborate across design, electrical, and mechanical engineering teams to fine-tune packaging architecture, • Support hiring efforts and mentor junior engineers to grow internal manufacturing capabilities Qualifications • MS or PhD in Materials Science, Electrical Engineering, Chemical Engineering, or a related field, • 3+ years of hands-on experience in semiconductor process development or advanced packaging, • Proven track record developing and qualifying bonding processes such as eutectic, flip-chip, or hybrid methods, • Strong command of statistical quality control practices and continuous improvement strategies, • Comfortable working in a fast-paced lab and production environment, including extended hours when needed Preferred Experience • Background in nanofabrication techniques (e-beam lithography, dry etch, PECVD, CMP), • Experience integrating photonic components such as SiPh or InP into electronic packages, • Prior work with optoelectronic device packaging or hybrid integration Why Join Us • High-impact opportunity at the forefront of photonics and next-gen computing, • Seed-funded startup with ambitious growth plans and hands-on technical leadership, • Early-stage equity and long-term incentive plans, • Flexible work culture and strong support for innovation, • Relocation assistance to Southern California, • Comprehensive health coverage: medical, dental, and vision, • Paid parental leave, flexible vacation policy, and company holidays Compensation Details $120,000 - $200,000 plus equity #LI-AV

Job Description Proposal Writer & Capture Manager – Help Frontier-Tech Founders Win and Scale! Remote | United States Opportunity Summary Approach Venture is hiring experienced Aerospace & Defense proposal writers who excel at translating complex technology into compelling, compliant, and competitive proposals. In this role, you’ll partner directly with early-stage and venture-backed startups to secure both commercial and government contracts that fuel their growth and technical roadmaps. This is a highly collaborative role for someone who enjoys hands-on writing, coordination, and execution. You’ll work across multiple fast-growing startups advancing space, defense, and dual-use technology initiatives. Day to day, you’ll shape proposals from concept through submission, including technical narrative development, compliance documentation, and pricing justification — all while working closely with engineering, leadership, and BD teams. If you know how to win through clarity, rigor, and storytelling, this role puts you right at the point of impact. About Us Approach Venture partners with founders building the next generation of frontier technology. We support early-stage startups through proposal strategy, capture execution, and market positioning across government and commercial sectors. From dual-use autonomy and propulsion to space systems, advanced manufacturing, and communications tech — our mission is to help founders convert innovation into meaningful traction. Job Duties • Lead proposal development from opportunity evaluation through final submission across government and commercial pursuits, • Write, organize, and refine technical and management volumes that clearly convey capability, value, and compliance, • Collaborate directly with startup founders, engineers, and BD leaders to translate technical content into compelling language, • Manage proposal schedules, document control, and compliance tracking to ensure full alignment with solicitation requirements, • Coordinate materials such as teaming agreements, customer memorandums, CRADAs, and letters of support, • Support the creation of pricing narratives, milestone plans, and budget justifications with client teams, • Participate in debriefs and lessons-learned cycles to strengthen capture strategy and proposal execution, • Contribute to investor and market-facing proposal summaries when needed, • Maintain templates, guidelines, and archives to drive repeatable quality across client engagements Qualifications • 5+ years of proposal writing or proposal management experience in aerospace, defense, or government technology programs, • Demonstrated success supporting winning awards (SBIR/STTR, BAAs, CRADAs, OTAs / CSOs, RFIs / RFPs, etc.), • Background working with or supporting startup or venture-backed organizations, • Familiarity with federal acquisition pathways, solicitation structures, and evaluation frameworks, • Exceptional writing and editing capability with a clear, concise style, • Proficiency in Microsoft Word, PowerPoint, and Excel, • Comfortable working across distributed teams and within dynamic startup environments Preferred Experience • Technical education or experience in engineering, physics, or related fields, • Proposal exposure in autonomy, propulsion, spacecraft, or advanced manufacturing, • Understanding of dual-use and defense innovation funding pathways, • Experience collaborating with small, highly technical founding teams Why Join Approach Venture • 100% remote environment with flexibility and creative ownership, • Direct collaboration with founders building mission-driven technologies, • Exposure to cutting-edge aerospace and defense programs, • Work inside a small, agile team where execution matters, • Competitive compensation with performance-based upside, • Medical, dental, and vision benefits, • Meaningful opportunity to help startups secure transformational contracts Compensation & Benefits $110,000 – $150,000 base salary + bonus & commission

Job Description At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Additive Technology team operates at the frontier of research and development, where creativity meets capability. This is an R&D-driven environment where problems are open-ended and solutions are yours to define. You'll work alongside welders, robotics engineers, data scientists, and systems engineers at the intersection of hardware and software, creating an end-to-end additive manufacturing platform that serves a wide variety of applications. From exploring new materials to unlocking faster print speeds, to designing complex, organic geometries that can't be built any other way, it's high-impact work that sets the foundation for the future of additive manufacturing. About the Role: We're seeking a Staff Network Engineer to architect, implement, and maintain the networking infrastructure that powers our large-scale metal additive manufacturing platform. This is a hands-on, systems-level role embedded in a multidisciplinary R&D team that includes robotics, machine learning, data, and software engineers. You'll be responsible for designing and deploying local networks that connect robotic systems, sensors, edge compute devices, and operator interfaces throughout our manufacturing facility. This includes supporting wired and wireless systems, tuning network performance for time-sensitive workloads, and ensuring alignment with our enterprise IT security posture. This is not a traditional IT helpdesk or maintenance role—your focus will be on building systems, collaborating with domain experts, and solving unique real-world networking problems in a production environment. • Design, implement, and maintain high-performance local networks across multiple robotic cells and compute systems, • Collaborate with robotics and infrastructure teams to support deterministic or low-latency communication where needed, • Configure and manage switches, routers, and wireless access points in both experimental and production environments, • Interface with our enterprise IT security team to ensure compliance while enabling local R&D flexibility, • Support network-level debugging, monitoring, and diagnostics, • Own documentation and standardization for networking infrastructure in the facility, • 5+ years of experience designing, deploying, and operating network infrastructure in industrial, R&D, manufacturing, or high-performance computing (HPC) environments, • Strong experience with wired and wireless networking technologies, including switch and router configuration, troubleshooting, and lifecycle management, • Hands-on experience with Linux-based systems and CLI-driven network configuration and diagnostics, • Proven ability to work on-site in technical environments, collaborating closely with hardware, software, and systems engineers, • Familiarity with time synchronization technologies, such as IEEE 1588 Precision Time Protocol (PTP-2008 / PTPv2 and/or IEEE 1588-2019 / PTPv2.1), • Experience supporting real-time systems, robotics platforms, or deterministic/low-latency networks, • Exposure to ROS, DDS, MQTT, or similar real-time or publish/subscribe messaging frameworks, • Experience with network automation and configuration management tools (e.g., scripting, infrastructure-as-code, or orchestration frameworks), • Experience designing or supporting high-bandwidth, low-latency video or sensor data platforms Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range:$157,000—$215,500 USD 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, sexual orientation, age, marital status, veteran status, or disability status. If you need a reasonable accommodation, please contact us at .

Job Description Hadrian - Manufacturing the Future Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts. We’re accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts. Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond. The Role The CMM Programmer (PC-DMIS) will play a critical role in advancing Hadrian’s automated inspection capabilities. You will program and optimize PC-DMIS routines for highly complex prismatic parts for the aerospace and defense industries, ensuring precision and reliability in our New Product Integration (NPI) and production workflows. Unlike traditional shops, the programs you create will run on fully automated CMM cells designed to operate lights-out. This means your work must incorporate robust programming practices and controls to ensure reliability. You’ll also collaborate with our software automation teams, who have engineer layered controls to safeguard and standardize the programming approach. This is a unique opportunity to work at the frontier of CMM automation and help shape the future of metrology in aerospace manufacturing What You'll Do * Create and optimize PC-DMIS programs for New Product Integration (NPI) work orders * Interpret and apply GD&T requirements from engineering drawings; identify and resolve discrepancies * Collaborate with cross-functional teams (CMM technicians, Quality, Manufacturing Engineering, CAM programmers) to drive inspection excellence * Design fixtures to support automated inspection * Troubleshoot PC-DMIS programs and improve Hadrian’s internal specifications * Support prove-outs of highly complex geometries with custom probes and setups * Partner with software teams to identify and implement process improvements What We’re Looking For * High school diploma or equivalent * 2+ years of experience as a PC-DMIS programmer * 2+ years of experience interpreting engineering drawings * Experience working in a machine shop with knowledge of metrology for subtractive manufacturing processes What Will Set You Apart * PC-DMIS training (101, 201, or beyond) * Strong understanding of GD&T, datum structures, and tolerances (form, orientation, location, profile, runout) * CAD software experience (NX preferred) * Background as a machinist or exposure to 5-axis machining environments * PC-DMIS API / VB scripting expertise * Familiarity with automated inspection processes and integration of customer specifications Compensation For this role, the target salary range is $83,000- $189,000 (actual range may vary based on experience). This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Benefits * Medical, dental, vision, and life insurance plans for employees * 401k * Relocation support may be provided for certain situations, based on business need. * Flexible vacation policy ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. Hadrian Is An Equal Opportunity Employer It is the Company’s policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.

Job Description True Classic is looking for an AI Solutions Architect to design, build, and deploy AI-powered applications and workflows that solve real business problems across the company. In this hands-on, execution-focused role, you will work cross-functionally to integrate AI into how we acquire customers, maximize lifetime value, and streamline operations. You'll thrive here if you're a problem solver first—someone who would rather ship solutions than wait on specs or build slide decks. You're comfortable writing clean, production-ready code, moving quickly, and turning ambiguous problems into real, working systems that drive impact. All True Classic roles are global and omni-channel, driving accountability across product categories, regions, and sales/marketing channels. This role will allow you to impact operations worldwide, ensuring alignment with our business objectives and delivering success across diverse markets and platforms. What You Will Do • Design and develop AI-powered applications, tools, and workflows that address high-leverage True Classic business problems, • Build AI agents, automation pipelines, and LLM-powered features across acquisition, retention, and operations, • Implement and integrate RESTful APIs for efficient, secure data access and exchange across our tech stack, • Write clean, maintainable, production-quality code across Python, React, Node.js, and other relevant frameworks, • Deploy and manage applications on AWS and other cloud platforms using modern CI/CD pipelines, • Partner with marketing, finance, operations, and commercial teams to solve their hardest problems, • Perform code reviews, enforce best practices, and drive continuous improvement, • Evaluate and implement AI tools that fit our stack — and stay at the frontier to bring new capabilities in Cross-Functional Collaboration • Marketing: AI-powered acquisition, creative testing, audience targeting, and lifecycle tools, • eCommerce & Product: Personalization, search, merchandising, and conversion optimization, • Operations: Automation of high-friction workflows across supply chain and fulfillment, • Finance & BI: Connect AI initiatives to revenue, margin, and efficiency KPIs, • Commercial Channels: Solutions that work across DTC, wholesale, marketplace, and international Qualifications • 2–3+ years of professional experience in AI engineering or software development, • Bachelor's degree in Computer Science or related field, • Strong expertise in AI prompting, engineering workflows, and working with LLMs (Claude, OpenAI, or similar), • Proficiency in Python, React, Node.js, Express.js — SQL/PostgreSQL a plus, • Hands-on experience with cloud and DevOps: AWS, Heroku, GitHub CI/CD, • Strong understanding of RESTful API design and implementation, • Systems thinker who can architect end-to-end solutions, not just point fixes, • Creative, tenacious, and hungry — thrives in ambiguity and moves with urgency Preferred Qualifications • Experience at a DTC, e-commerce, or consumer brand, • Familiarity with our stack: Meta, Google, TikTok, Klaviyo, Triple Whale, Shopify, • Experience with prompt engineering best practices for AI-driven workflows, • Track record deploying scalable AI solutions in production environments Workplace Arrangment On-Site Why True Classic • One of the fastest-growing consumer brands in the world — and we are just getting started, • AI-native from the top down: leadership is personally invested in AI transformation, • Industry-leading, innovative work you will not find inside most consumer brands, • Grow fast: scope, title, and comp scale with the company, • Real impact — your work shapes the experience of millions of customers worldwide, • Human, work-friendly environment where great people do their best work Compensation and Benefits Compensation * $75k-$85k + bonus Time Off * Unlimited PTO and sick time Health & Wellness • Company-paid medical, dental, and vision insurance, • $100/month Wellness Stipend, • Free Employee Assistance Program (EAP) Work & Growth Support • $100/month Personal Workspace/Office Stipend Perks • $1,000/year True Classic merchandise allowance, • 401(k) plan with 3% company match True Classic is proud to be an equal opportunity employer. We celebrate and support differences in race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, and abilities. If you need assistance or accommodation due to a disability, please contact Human Resources. About True Classic At True Classic, our purpose is simple: empower everyone to look good and feel good. Founded in 2019, we're a fast-growing apparel brand obsessed with fit, quality, and impact. But we're building more than great products—we're building a high-performance team where smart, driven people do meaningful work, move fast, and see the direct results of what they create. Everything we do is guided by the True Classic Operating System (TCOS)—the principles that shape how we work, make decisions, and win together: • Move the Needle – Our #1 value and the ultimate filter for decision-making. We focus on delivering tangible, measurable results that drive real business impact., • Paint the Picture – We set clear vision and help others see what great looks like., • Seek the Truth – We use data, customer insight, and curiosity to guide decisions., • Get 1% Better – We continuously improve how we work through strong systems and small wins., • Build Leverage – We maximize impact with the right mix of people, tools, automation, and AI., • Crush the Challenge – We surface problems early and take ownership to solve them., • Go Fast – We take initiative, move with urgency, and bias toward action., • Be Creative – We challenge the norm and find better ways to win., • Lead with Empathy – We care deeply about our customers and each other. If you thrive in fast-paced environments, take ownership of your work, and want to build something that actually moves the needle—join us and help shape what's next at True Classic!

About Groove Most people with osteoporosis, arthritis, or chronic pain get a diagnosis and a pamphlet. Maybe a referral to PT for six visits. Then they're on their own. Groove exists to close that gap. Groove is a remote, PT-led program that gives older adults with chronic musculoskeletal conditions an ongoing relationship with a clinician who knows them, meets them where they are, and helps them get stronger over time. We're early-stage, small, and building the kind of care most clinicians got into this field to provide. The Role We're hiring a California-licensed PT to own a caseload of patients and work with them over weeks and months, not visits. You'll build trust, design programs around their lives, and use new tools to deliver care in ways most PTs haven't experienced yet: AI, daily communication, remote monitoring, and telehealth. If you're curious about what's next for the profession, this is a chance to practice at the frontier of high-touch, tech-enabled care. You'll work alongside our Founding Clinician, collaborate with our physician team, and report directly to the CEO. What You'll Own Patient Onboarding & Care • Conduct initial intake calls to understand each patient's goals, history, and limitations, • Build individualized, evidence-based programs focused on strength, balance, and bone health, • Communicate regularly with patients (primarily via SMS) to support, guide, and maintain momentum, • Conduct periodic video check-ins to assess progress and deepen rapport, • Adapt programs in real time secondary to patient feedback, • Drive adherence through consistent touch points and support Who You Are • Passionate about this population. Older adults, bone health, and longevity matter to you., • Clinically sharp. Evidence-based, analytically strong, and comfortable building effective programs., • A natural with people. You build rapport quickly and genuinely enjoy the relationship side of care., • You love programming. Designing strength and movement programs is energizing to you — not just clinically, but personally. You care about exercise, you think about load and progression, and you get excited about helping people get stronger., • Curious and adaptable. You're excited to learn new tools and practice in ways most PTs haven't yet., • Low-ego, high-ownership. We're a small team — good energy, clear communication, and genuine care for each other are the job. Background 2-3 years of clinical experience, with: • Populations: orthopedics, older adults, osteoporosis, or geriatric rehab, • Settings: outpatient, home health, telehealth, or digital health, • Roles: independent caseload management; startup or remote care experience a plus, • Credentials: PT or DPT; active California license required What This Role Is (and Isn't) This is not a traditional clinic role. It’s a flexible, remote role where you own patient outcomes and build meaningful longitudinal relationships. You'll have autonomy in how you work, with support from a small, high-caliber team. If you need a structured clinical environment to do your best work, this probably isn't the right fit for you. Compensation & Details • Part-time (min. 20 hrs/week) ramping to full-time (35-40 hrs/week) by the end of month 1, • Competitive hourly rate commensurate with experience, • Fully remote (California license required), • Direct collaboration with the founding team from day one Interested? Reach out to Patrick Weiss, CEO, at .

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.

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. We are looking for a cybersecurity expert to lead our efforts to prevent AI misuse in the cyber domain. As a Cyber Harms Technical Policy Manager, you will lead a team applying deep technical expertise to inform the design of safety systems that detect harmful cyber behaviors and prevent misuse by sophisticated threat actors. Working closely with Research Engineers who build these safety systems, you and your team will provide the critical cybersecurity domain knowledge needed to ensure our safeguards are effective against real-world threats. You will be at the forefront of defining what responsible AI safety looks like in the cybersecurity domain, working across research, policy, and engineering to translate complex cyber threat concepts into concrete technical safeguards and actionable policies. This is a unique opportunity to shape how frontier AI models handle dual-use cybersecurity knowledge—balancing the tremendous potential of AI to advance legitimate security research and defensive capabilities while preventing misuse by malicious actors. • Lead and grow a team of technical specialists focused on cyber threat modeling and evaluation frameworks, • Design and oversee execution of capability evaluations ("evals") to assess the cyber-relevant capabilities of new models, • Create comprehensive cyber threat models, including attack vectors, exploit chains, precursor identification, and weaponization techniques, • Develop and iterate on usage policies that govern responsible use of our models for emerging capabilities and use cases related to cyber harms, • Serve as the primary domain expert on cyber harms, advising cross-functional teams on threat landscapes and mitigation strategies, • Collaborate closely with internal and external threat modeling experts to develop training data for safety systems, and with ML engineers to train these systems, optimizing for both robustness against adversarial attacks and low false-positive rates for legitimate security researchers, • Analyze safety system performance in traffic, identifying gaps and proposing improvements, • Conduct regular reviews of existing policies and enforcement systems to identify and address gaps and ambiguities related to cybersecurity risks, • Develop rigorous stress-testing of safeguards against evolving cyber threats and product surfaces, • Partner with Research, Product, Policy, Security Team, and Frontier Red Team to ensure cybersecurity safety is embedded throughout the model development lifecycle, • Translate cybersecurity domain knowledge into actionable safety requirements and clearly articulated policies, • Contribute to external communications, including model cards, blog posts, and policy documents related to cybersecurity safety, • Monitor emerging technologies and threat landscapes for their potential to contribute to new risks and mitigation strategies, and strategically address these, • Mentor and develop team members, fostering a culture of technical excellence and responsible AI development, • An M.S. or PhD in Computer Science, Cybersecurity, or a related technical field, OR equivalent professional experience in offensive or defensive cybersecurity, • 5+ years of hands-on experience in cybersecurity, with deep expertise in areas such as vulnerability research, exploit development, network security, malware analysis, or penetration testing, • 2+ years of experience managing technical teams or leading complex technical projects with multiple stakeholders, • Experience in scientific computing and data analysis, with proficiency in programming (Python preferred), • Deep expertise in modern cybersecurity, including both offensive techniques (vulnerability research, exploit development, penetration testing, malware analysis) and defensive measures (detection, monitoring, incident response), • Demonstrated ability to create threat models and translate technical cyber risks into policy frameworks, • Familiarity with responsible disclosure practices, vulnerability coordination, and cybersecurity frameworks (e.g., MITRE ATT&CK, NIST Cybersecurity Framework, CWE/CVE systems), • Strong analytical and writing skills, with the ability to navigate ambiguity and explain complex technical concepts to non-technical stakeholders, • Experience developing policies or guidelines at scale, balancing safety concerns with enabling legitimate use cases, • A passion for learning new skills and an ability to rapidly adapt to changing techniques and technologies, • Comfort working in a fast-paced environment where priorities may shift as AI capabilities evolve, • Track record of translating specialized technical knowledge into actionable safety policies or enforcement guidelines, • Background in AI/ML systems, particularly experience with large language models, • Experience developing ML-based security systems or adversarial ML research, • Experience working with defense, intelligence, or security organizations (e.g., NSA, CISA, national labs, security contractors), • Published security research, disclosed vulnerabilities, or participated in bug bounty programs, • Understanding of Trust & Safety operations and content moderation at scale, • Certifications such as OSCP, OSCE, GXPN, or equivalent demonstrating technical depth, • Understanding of dual-use security research concerns and ethical considerations in AI safety The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits. Annual Salary: $320,000 - $405,000 USD Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit ___ directly for confirmed position openings. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about ___ for using AI in our application process

RevOps at Osmind owns the revenue architecture across the full customer journey — from first marketing touch through closed-won, onboarding, expansion, and retention. You’re excited to build revenue systems on the frontier of what’s possible today - learning from the dynamically evolving best

Description Shape the Future of Space Security with Leidos Grow Boldly. Lead Bravely. At Leidos, we don’t just nurture talent, we launch careers. Through immersive training, tight-knit teamwork, and front-line exposure to mission-critical projects, you'll accelerate your journey into the heart of innovation. Join the Leidos National Security Sector at Los Angeles Air Force Base and become part of a powerful mission supporting the U.S. Space Systems Command (SSC). Your Role in the Mission Picture this: you're working side-by-side with elite engineers, scientists, and acquisition pros to develop intelligence threat analyses that shape the future of the U.S. Space Force (USSF). Your expertise won't just support operations—it will drive strategic national decisions and strengthen America’s dominance in space. What You'll Tackle • Threat Analysis: Dive into all-source intelligence to assess risks to today’s and tomorrow’s USSF systems., • Intelligence Fusion: Synthesize IMINT, OSINT, SIGINT, MASINT, and HUMINT into precise, actionable insight., • Integrated Collaboration: Team up with specialists across development, acquisition, and ISR to produce forward-leaning threat assessments., • Strategic Impact: Deliver high-stakes briefings that shape capability development, procurement, and operations. Your Toolkit for Success. Basic Qualifications: • Bachelor’s degree and 4 + years of intelligence experience. Additional years of experience may be considered in lieu of a degree., • Eligibility for TS/SCI security clearance., • Deep understanding of structured and unstructured intelligence data., • Exceptional communicator—written and verbal—who can brief the nation’s top decision-makers., • Proven ability to work independently and thrive on collaborative teams. Preferred Edge: Prior SAP access and hands-on experience with defense acquisition or space system lifecycles. Why Leidos? Because your career should be as dynamic as the challenges we face. Here, your contributions matter—every day, on every mission. You’ll join a team that prizes curiosity, champions bold thinking, and empowers you to make a difference. Ready to go further? Your seat at the cutting edge of national security awaits. Apply now and help us engineer a safer, stronger space frontier. Let me know if you'd like a version tailored for a job board, internal communication, or social media—it’s easy to adapt this to different audiences. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: May 8, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $73,450.00 - $132,775.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. We’re looking for a software engineer to help develop, launch, and maintain the first version of the ATG iOS app. This is a zero-to-one role: you’ll own the mobile experience end-to-end, from architecture to polish. Your work will directly shape how users interact with ATG, shaping the future of mobile AI experiences. As a key member of our team, you'll push the boundaries of iOS development, combining technical excellence with design finesse. From pixel-perfect UI to smooth animations and thoughtful micro-interactions, you’ll create seamless, motion-driven experiences that delight users. If you excel in building high-quality, intuitive, and visually stunning apps, this role is for you. * Architect and ship our first iOS app—from private beta to App Store release. * Implement core features with fluid UI, high performance, and scalable client infrastructure. * Collaborate closely with the founders, product, and design on prototyping, and product direction. * Build testing pipelines (unit tests, CI/CD) to keep reliability high while moving fast. * Deploy platform-level improvements (real-time syncing, on-device ML, efficient data flow). * Iterate quickly on new iOS experiences that make AI useful, intuitive, and delightful in every user’s pocket. * Prioritize performance, reliability, and responsiveness to deliver best-in-class mobile experiences. We’re early, fast, and ambitious. Every engineer has a direct line to product decisions and user impact. We optimize for: * User delight — clean, intuitive, responsive experiences. * Speed with quality — ship quickly without cutting corners on reliability. * High impact — focus on features that move the needle for users. * Collaboration — work directly with founders in a flat, high-trust environment. * 3+ years of hands-on iOS experience (Swift, UIKit/SwiftUI, Combine, concurrency). * Shipped at least one app to the App Store and evolved it based on real-user feedback. * Comfortable shipping fast while maintaining quality (modular design, unit tests, CI, profiling). * Resourceful: you choose the right tools, work lean, and thrive without heavy scaffolding. * Strong product sense: you care about UX and sweat the details. * Clear communicator—whether debugging, brainstorming, or shifting gears under pressure. * Strong design sensibility and an eye for detail—experience working closely with UI/UX designers to create polished, high-quality mobile experiences. * Expertise in leveraging the latest AI tools (Cursor, Claude Code, Codex, etc) to increase productivity & code output while maintaining high code quality, maintainability, and structure. * Experience integrating ML models on-device or in-app. * Built dual-platform experiences (iOS + Android or iOS + Web). * Led iOS architecture: modular features, performance tuning, advanced debugging. Why Join ATG We're building a small, elite team. If you're excited by AI, finance, and building from first principles, we’d love to meet you. * Work on AI with real stakes * Early team of repeat founders and ex-researchers from top companies * High agency, zero bureaucracy environment

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: The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale. In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply. What You’ll Be Doing: As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves: • Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure, • Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.), • Designing safe upgrade and rollout strategies at scale, • Improving observability, automation, and operational ergonomics, • Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance, • Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc., • Serving as a primary escalation point and on-call for relevant incidents, • Owning the relationship with all system vendors, including WarpStream Labs and others., • As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence. 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). Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership. What Makes You a Great Fit: • Regular 1:1s with your manager and close collaboration with teammates across regions, • Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design, • Improving the diagnosability of core streaming and database systems in production, where possible., • Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure, • Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies, • Planning and executing safe upgrades and rollouts across dozens of production clusters, • Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy, • Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk, • Sharing best practices and distributed systems knowledge with partner teams, • Participating in incident response, from investigation through resolution and post-incident reviews (PIR) Requirements: • 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles., • Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra., • Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.)., • Solid understanding of distributed systems design and large-scale system trade-offs., • Proficiency in at least one programming language (Go preferred, but not required)., • Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior., • Experience participating in blameless incident response and writing high-quality post-incident reviews., • Clear communicator who can collaborate across teams and work autonomously., • Curious, pragmatic, action-oriented, and kind (this is important!) 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 .

About the Job: LaunchDarkly is the industry-leading feature management platform that empowers engineering teams to deliver and control software with confidence. We help the world’s most innovative organizations—including Fortune 500 enterprises—ship faster, reduce risk, and continuously improve their software experiences. Our platform enables teams to release features gradually, target specific user segments, experiment safely, and roll back instantly when needed. This role will be responsible for overseeing either the Eastern or Western region, determined by business needs and the candidate's location. As we continue to scale globally, we’re expanding our Strategic Sales organization with high-performing leaders who can navigate complex enterprises and accelerate adoption across key markets. As a Regional Sales Director, Strategic Sales, you will be responsible for driving net-new and expansion revenue within a portfolio of the most impactful enterprise accounts in the region. 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, quota-carrying role that requires a strategic mindset, strong executive presence, and deep enterprise sales expertise in the SaaS ecosystem. Responsibilities: Strategic Account Leadership • Own and exceed a multi-million-dollar annual quota focused on Fortune 1000 and other high-growth strategic accounts, • Build regional strategies that expand LaunchDarkly’s footprint with engineering, DevOps, platform, and product leadership teams, • Lead complex enterprise negotiations across legal, procurement, security, and architectural stakeholders, • Champion LaunchDarkly’s value proposition, including progressive delivery, experimentation, developer productivity, and release safety Pipeline Generation & GTM Alignment • Develop a robust pipeline through targeted outbound strategies, account-based plays, partner motions, and executive engagement, • Collaborate closely with SDRs, Marketing, and Channel teams to drive consistent top-of-funnel momentum, • Maintain disciplined pipeline hygiene and forecasting accuracy in Salesforce Cross-Functional Partnership • Work hand-in-hand with Sales Engineering to guide customers through technical evaluations, proof-of-value, and architecture discussions., • Partner with Customer Success to ensure seamless handoff, adoption, and long-term value realization., • Provide customer insights to Product, Engineering, and Leadership to help shape roadmap, packaging, and industry positioning. Executive Engagement & Thought Leadership • Build trusted advisor relationships with VP+ engineering, CTO, CPO, platform, and digital transformation leaders, • Articulate how feature management reduces risk, accelerates release velocity, and supports enterprise transformation initiatives, • Represent LaunchDarkly at regional events, partner summits, and industry conferences. Qualifications: • Typically expects a minimum of 15 years of enterprise SaaS sales experience with a proven record of exceeding quota in complex, multi-threaded deal environments. Along with a minimum of 5 years of sales leadership experience, • Experience selling to technical buying centers—especially engineering, DevOps, platform, and product organizations, • Demonstrated success closing six- and seven-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, • Experience selling DevOps, developer tooling, cloud infrastructure, observability, CI/CD, or platform engineering solutions, • Previous success in a high-growth startup or scale-up environment, • Familiarity with LaunchDarkly’s ecosystem (AWS, Azure, GCP, HashiCorp, GitHub, Datadog, etc.), • Relationships within large enterprise engineering and platform communities Pay: Target pay ranges based on Geographic Zones* for Level M4: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $301,000 - $414,000**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $271,000 - $373,000**, • Zone 3: All other US locations - $256,000 - $352,000** 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 Celestia Labs Celestia is the first modular blockchain network. By decoupling consensus from execution, Celestia enables anyone to easily deploy their own blockchain, without the overhead of bootstrapping a new consensus network. Blockchains on Celestia are free from constraints, making them scalable, sovereign, and secure. About the Team The Celestia Labs Team is remote first and highly distributed, with English as our primary language for communication. We are looking for self-starters that are excited about working in a fast-paced startup environment. We do not require team members to live in specific timezones, but much of the team lives and works in the European timezones. As such, team members are expected to be available as needed for team and company events that are scheduled. Generally these are scheduled between 1pm-6pm CET. About You Celestia Labs is looking for an elite Software Engineer to join the Celestia Node Team. You will be working on a highly technical team, operating across a cutting edge set of disciplines to support continued improvement of Celestia’s node software as we solve data availability for teams building whatever. This role will be of specific interest if working at the frontier of performance, scalability, storage, p2p networking and security in blockchain systems appeals to you with a heavy bias for shipping. \n Perks • Flexible and remote work environment with multiple onsites each year, • Competitive salary and meaningful long-term compensation package, • Stipends for home office, coworking space, professional and personal growth, • 4 weeks annual vacation, • 401k and healthcare coverage for US team members, • Being part of a collaborative, supportive team with opportunities for mentorship and professional growth Responsibilities • Ownership of parts of the Celestia Node codebase, • Contribute readable, well-tested, and well-documented code to Node and related repositories, • Participate in technical discussions on issues and code reviews on pull requests, • Be a part of the feedback loop between technical specification and implementation, • Work with users and support them with debugging on various channels and ensure their Who You Are • Self driven, directed, and motivated for excellence, • A strong communicator with excellent technical writing, with experience in building maintainable and well-documented codebases, • Possess solid knowledge of software engineering, technical principles, and technical architectures, with at least 5 years of real-world experience as a developer or engineer, • Highly Proficient in Golang, • Previous experience maintaining or contributing to open source software \n While experience in the blockchain space is preferred – having general excitement about web3 and modular blockchain technology is a must!

About the Job: LaunchDarkly is seeking an experienced Full Stack Engineer to join our Feature Management team. This team’s mission is to empower developers with best-in-class controls and insights for managing software features. LaunchDarkly is best known for its Feature Management product, and in this role you’ll be at the forefront of impacting developers in this highly visible area. You’ll build features and tooling that are critically embedded throughout the software development lifecycle. You’ll enable developers improve their efficiency with seamless control of their software releases. Responsibilities: * Design and implement developer-first tooling such as MCP servers and browser toolbars. * Deeply understand developer workflows so that you can streamline developer experiences. Directly influence the developer roadmap and experiential details by representing the voice of the developer. * Collaborate cross-functionally with product managers, UX designers, and engineers to create cohesive, end-to-end developer experiences. * Participate actively in architecture planning, code reviews, and mentoring peers in full-stack best practices. * As part of our you-build-it-you-run-it culture, all developers may be responsible of support applications in production, including on-call. Qualifications: * 5+ years of hands-on experience building full stack web applications. Familiarity with Typescript, React, Node, and Go is preferred but not required. * Strong sense of ownership and accountability for delivering impactful solutions. * Proven ability to work closely with Product and Design teams to define requirements for new features in a fast-paced iterative 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. * Strong collaboration, communication, and problem-solving skills; committed to continuous learning about emerging technologies and mobile best practices. * Experience utilizing AI tooling to enhance daily engineering efficiency. Pay: Target pay ranges based on Geographic Zones* for Level P3: * Zone 1: San Francisco/Bay Area or New York City Metropolitan Area (if not Bay area specific role): $167,000 - $210,000** * Zone 2: Boston, DC, Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Seattle: $150,200 - $190,000** * Zone 3: All other US locations: $141,900 - $180,000** 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.

About the Job: Software powers the world, and LaunchDarkly empowers all teams to deliver and control the best software. As an Infrastructure Engineer on the IDE team, you'll help us build, automate, and improve the systems that keep LaunchDarkly running at scale. Our platform serves over twenty trillion feature flags daily across a global AWS footprint. The IDE team owns the infrastructure layer — networking, compute, CI/CD, databases, observability — and we're looking for someone who wants to make that layer increasingly self-service and automated. You'll write software that replaces manual processes, build tools that help other engineers move faster, and contribute to a culture where operational toil is treated as a bug to be fixed, not a fact of life. As part of our you-build-it-you-run-it culture, all engineers participate in an on-call rotation. Responsibilities: * Automate infrastructure provisioning, deployment, and operational workflows * Build and improve internal tools and platforms that make other engineers more productive * Manage and evolve our AWS infrastructure using Terraform * Participate in on-call rotations and turn incident patterns into permanent fixes * Collaborate with product engineering teams to understand their infrastructure needs and reduce friction * Identify repetitive operational work and replace it with software Qualifications: * 4+ years of professional software engineering experience * Familiarity with AWS (you've used it; you don't need to have memorized every service) * You write code to solve problems — not just configuration, but actual software when the situation calls for it * You're curious about how things work and willing to learn new tools quickly * A commitment to working in a communicative and collaborative environment * You hold yourself and others to a high bar when working with production systems * You value code quality, automated testing, and engineering best practices Nice to have (but not required): * Experience with Terraform or similar Infrastructure-as-Code tools * Experience with CI/CD systems (GitHub Actions, Jenkins, etc.) * Familiarity with containers and Kubernetes * Experience with observability tools like Datadog Pay: Target pay ranges based on Geographic Zones* for Level 4: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - $263,670**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270**, • Zone 3: All other US locations - $163,000 - $224,070 * 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.

Chooose builds software to enable the lower carbon fuel value chain. Companies like Delta Air Lines, Cathay Pacific, British Airways, and Microsoft use the Chooose platform to build, operate, and scale their lower carbon fuel programs (typically referred to as Sustainable Aviation Fuel, or SAF), and to advance voluntary and compliance carbon management initiatives. With offices in Miami and Oslo, and remote employees across the US and Europe, Chooose is relentlessly focused on delivering enterprise software products to enable our customers to drive lower carbon fuel adoption. The company has raised $50M from leading venture capital and strategic investors. As a Senior Product Manager at Chooose, you will own the end-to-end product vision, roadmap, and execution for your domain. You’ll work with a core team of engineers and designers to build products that enable the largest aviation fuel suppliers and fuel buyers to accelerate their lower carbon fuel business processes. We’re looking for someone who is energized by ambiguity, deeply curious about the frontier of AI in enterprise products, and passionate about building products that balance technical depth with intuitive user experiences. You’ll need to be hands-on with prototyping and comfortable translating complex systems into clear, user-centered solutions. This role reports to the CTO. This is a remote role that must be based in Massachusetts, New York, Pennsylvania, Maryland, or Florida * Own the vision, roadmap and execution for a Chooose domain, balancing intuition with data * Deeply understand the aviation fuel market and our customers’ needs by spending time with customers * Drive high-velocity execution with a distributed team of engineers and designers * Prototype rapidly using tools like Cursor to accelerate the product development lifecycle and fast-forward to production-ready products * Stay deeply plugged into AI tooling, industry trends, and emergent applications, filtering signal from noise and applying it accelerate execution for the Product team * Collaborate with stakeholders across the organization such as Engineering, Design, Data, Marketing, Sales, Account Management, and Operations * BA/BS in a technical or analytical field (e.g. Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or related) * Minimum 4 years of product management or adjacent product-building experience in an enterprise context * Strong customer empathy and design thinking * Passion for AI, shown through hands-on building, prototyping, or side projects, and staying current on tools * Fluency with core LLM concepts and systems, such as prompting, fine-tuning, embeddings, retrieval, and evaluation, and the judgment to translate these into reliable, user-facing products * Fluency with modern prototyping tools (e.g. Cursor, Claude Code) and comfort with design/collaboration environments (Figma) * Fluency in data and experimentation, and understanding when the answer cannot be found in the data * Proven ability to lead small, technical teams toward ambitious product goals with urgency * Ability to translate between technical and non-technical audiences, synthesizing complex systems into compelling narratives * Native-level English writing and speaking skills * You prefer product strategy briefings over hands-on delivery * You’re not building with AI * Experience building in financial, enterprise, or other compliance-heavy domains requiring precision and complex systems thinking * Experience in high growth startups * Experience getting results on a distributed team At Chooose, we prioritize transparency throughout our interview process. If your qualifications look like a fit, we’ll begin with a few introductory conversations where you'll have the chance to discuss your experience and learn more about our company. The second phase varies depending on the role and will most likely involve a practical exercise to show your work. The third and final phase consists of a few one-on-one conversation members of the executive team. The process should take approx. 4-6 weeks. While we strive to keep to this timeline, the occasional adjustment may occur; we’re focused on ensuring for enough time to get to know one another. Pay, perks, & more We offer a competitive salary, a comprehensive benefits package including medical, dental, and vision insurance, voluntary 401k contributions, paid parental leave, a robust PTO package, the option to participate in our employee equity program, flexible work hours, and access to 'Spaces' coworking space. We value diversity and believe forming teams in which everyone can be their authentic self is key to our success. We encourage people from underrepresented backgrounds and different industries to apply. Compensation will be based on experience and skill, commensurate with market rates, and will include both salary and equity in Chooose. Chooose is an equal opportunity employer and does not discriminate based on race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status. We are committed to providing an inclusive and welcoming environment to our employees and welcome input from candidates and employees on how we can enhance our inclusiveness. Prerequisite for Employment: Chooose may request to conduct background checks on prospective applicants to verify the information provided in the CV, transcripts, and other documentation. This background check may be carried out by our partner and will not be conducted without the applicant's prior consent. Prospective applicants will receive more information about this.

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.

The Company SuperAnnotate is a fast-growing, Series B startup revolutionizing the field of AI-data Infrastructure. We specialize in providing cutting-edge data pipeline solutions for Machine Learning, LLM, and GenAI solutions to large enterprise clients, helping them leverage the power of AI to transform their businesses. SuperAnnotate has a fully customizable platform for building annotation tools and workflows that AI projects demand—while unifying the management of all teams, vendors, and data in one place. We’re very proud to have products that are loved by our customers, resulting in us being listed as the ___. Senior Director of Customer Success SuperAnnotate is seeking a strategic and experienced Senior Director of Customer Success. This is a critical leadership role, responsible for scaling and evolving our customer success strategy, building a high-performing team, and delivering exceptional value to our enterprise software customers across cutting-edge AI domains—including large language models (LLM), computer vision (CV), and natural language processing (NLP). You will report directly to the executive team and partner cross-functionally with Product, Sales, Marketing, and Engineering to ensure our enterprise customers achieve their desired outcomes with SuperAnnotate. The ideal candidate is a strong leader with a customer-first mindset, exceptional communication skills, and a proven track record of building scalable success programs for enterprise accounts in B2B SaaS organizations. What You’ll Do- Define and execute the company’s Customer Success strategy in alignment with company goals, driving customer adoption, retention, and expansion.- Serve as a strategic advisor to key customers and executive stakeholders, ensuring they derive maximum value from SuperAnnotate's solutions.- Grow and expand existing accounts by deeply understanding customer pains, customer org structures, and our product. - Collaborate with Sales, Product, and Marketing to drive customer onboarding, training, renewals, and expansion efforts.- Develop and standardize key success metrics and use data to continuously improve performance.- Design and implement scalable customer programs such as QBRs, standardized onboarding, customer advisory boards, and others.- Build, lead, and mentor a high-performing team of US Based Customer Success Managers and related roles- Act as the voice of the customer, influencing product roadmap and company strategy.- Own forecasting and reporting on customer health, churn risk, and growth opportunities to the leadership team. What We’re Looking For- 8+ years of experience in Customer Success, Account Management, or related functions, with 3+ years in a senior leadership role.- Experience in B2B SaaS, preferably in AI/ML or developer-focused platforms.- Deep understanding of the AI/ML, Cloud, and Data ecosystem. - Strong understanding of Generative AI ecosystem and ML Platforms.- Strong ability to prospect into existing accounts, understand organizational structures, and identify areas for growth- Strong cross-functional collaboration skills with experience influencing at all levels of an organization.- Excellent communication, storytelling, and executive presentation skills.- Proven ability to scale teams, develop repeatable processes, and deliver measurable customer impact.- Bachelor's degree in Engineering, Computer Science, or a related field is a plus; MBA or advanced degree is also plus.- Nice to Have: Based in the Bay Area with the ability to work from the office 2-3 times per week. For candidates outside the area, monthly travel to the office is expected. Why SuperAnnotate?SuperAnnotate is a leading innovator in AI, LLMs, and data pipeline solutions for machine learning and generative AI. We provide best-in-class infrastructure for frontier model providers and empower enterprises to accelerate their AI initiatives. Our platform is highly rated on G2 and trusted by top AI-driven organizations.$160,000 - $200,000 a yearOnly shortlisted candidates will be contacted for an interview! What you'll have with us

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. We are the team behind ___, ___, and ___, used by teams globally to ensure resilient, high-performing systems. This opportunity is with the Grafana Cloud k6 squad, who build and operate our performance testing product. Grafana Cloud k6 is built around the OSS k6 and targeted at users looking to run performance tests at scale. Our enterprise and SaaS offerings allow customers to load test their systems by running distributed tests from 15+ regions worldwide, using hundreds of thousands of virtual users sending millions of requests per second. We ingest huge volumes of data generated by k6, which can be used to view, correlate and analyze metrics from each test. k6 is a product used by other engineers, and as such, we are looking for people enthusiastic about building high-quality tools they would want to use themselves. Due to our small teams and fast development pace, you will have a substantial and immediate impact on how the end product is architected, developed, and how the engineering team operates. Your role will focus on establishing and scaling a cross-team culture of engineering excellence by setting standards and guiding adoption of strong DevOps/SRE practices that improve reliability, availability, and operational ownership. As this foundation matures, the role is expected to expand into broader application and product development leadership, contributing architectural and technical depth beyond operational excellence. • Build and scale a strong culture of operational excellence by defining standards and coaching teams to own reliability and availability., • Drive mature DevOps/SRE practices, including incident response and PIRs, on-call readiness, runbooks, alerting, observability, and release/change management., • Establish reliability frameworks such as SLIs/SLOs and error budgets, and use them to guide prioritization and engineering trade-offs., • Provide visibility into system health through clear operational metrics and reliability reporting., • Guide teams in the design, development, evolution, and operation of large-scale, distributed cloud systems., • Influence product and system direction through design reviews, architectural discussions, and cross-team collaboration., • Share knowledge through clear, high-quality documentation and technical communication—internally and, where appropriate, externally—to help teams build and operate systems more effectively., • As the reliability foundation matures, grow into broader application and product development leadership, contributing architectural and technical depth beyond operations. 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). • Strong experience with DevOps/SRE practices, including operating and evolving production systems at scale, • Strong programming background in a modern language (Python and Go are primary, but prior experience is not required), • Experience designing, building, and operating large-scale distributed systems, • Strong understanding of reliability engineering concepts (e.g. incident management, observability, and failure modes), • Experience with test automation, including performance and functional testing, • Ability to influence engineering practices through clear technical communication, reviews, and collaboration, • Strong interpersonal skills and ability to work effectively across teams, • Familiarity with modern software engineering processes and delivery practices, • Self-driven and comfortable operating with a high degree of autonomy and ambiguity Bonus Points For: • Experience with containerized and cloud-native systems (Docker, Kubernetes, AWS), • Familiarity with observability tooling and platforms (e.g. the Grafana stack), • Experience working with Python, Go, JavaScript and/or Jsonnet, • Experience building or operating event-driven or asynchronous systems, • Experience defining or applying SLIs/SLOs, error budgets, or reliability metrics, • Interest in, or experience with, building testing frameworks or developer tooling Compensation & Rewards: In the US, 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 .

Location: San Francisco, CA Work Model: In-office At Effective AI, we're building the future of work. We believe the real frontier for AI is not simple, repetitive tasks, but complex knowledge work that demands expertise and multi-step reasoning. That's why we're building sophisticated AI Teammates designed to master complex workflows and collaborate with human experts. We're starting by tackling the trillion-dollar U.S. Property & Casualty insurance market, a space with intricate processes and a rich data environment perfect for this challenge. We’ve raised $10 million in seed funding from Lightspeed Ventures & Valor Equity Partners. Our dedicated team is based in San Francisco and thrives on in-person collaboration to solve these challenging problems. As a Founding Frontend Engineer, you will be a crucial part of our initial team, playing a pivotal role in designing and building our core product from the ground up. You’ll push the frontiers of AI and human collaboration on some of the most data-heavy analytical projects that insurance professionals work on. More specifically, you will: * Enable long-horizon task completion by building the foundational UX patterns for working with multi-turn, multi-tool agentic systems. * Empower actuaries and underwriters to work on thousands of documents in parallel by giving them access to coding and coding agents. * Architect and implement our frontend stack using modern frameworks (React, TypeScript, Tailwind) with a focus on performance and maintainability. * Get your hands into the backend & core agentic platform as well! It’s all typescript. * Collaborate closely with design, backend, and ML engineers to deliver end-to-end experiences. * Rapidly prototype and iterate on features, balancing speed and quality in a startup environment. We're looking for an ambitious and creative builder who is excited to tackle hard problems. * You are genuinely passionate about AI and energized by approaching ambiguous challenges from first principles. * Have deep experience building production-grade web applications with modern frameworks (React, Next.js, TypeScript). * Care about performance, accessibility, and pixel-perfect implementation. * Have strong UI/UX sensibilities and enjoy collaborating with designers to ship delightful experiences. * Are a collaborative, fast learner who wants to join a small team and have an outsized impact. * (Bonus) Have experience with data visualization, realtime systems, or working on complex workflow tools. * Tackle Foundational AI Challenges: Work on cutting-edge problems in agentic AI, tool use, and reliable reasoning that will define the future of work. * Massive, Tangible Impact: Your work will directly improve efficiency and decision-making in a trillion-dollar industry. * Work with the best: We’re assembling a world-class, talent-dense team. This is an opportunity for you to raise our already high bar and define the company culture and direction. * Highly competitive salary & equity * Flexible PTO * Catered lunches * Best-in-class medical, dental & vision insurance * 401k with up to a 4% company match * Mentorship from experienced founders and access to an elite investor network * Team building events & happy hours * Backing from top VCs (Lightspeed, Valor)

At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need—and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women’s health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. Role The Enablement Coordinator at Sword Health will lead the strategic development and execution of comprehensive Customer Success enablement programs. This role is pivotal in equipping the Customer Success team with the tools, resources, and training necessary to enhance their effectiveness, shorten ramp time, and consistently achieve or surpass company goals.. The Enablement Coordinator will drive initiatives that unify global best practices, improve messaging accuracy, and support successful Customer Success methodologies across the organization, including hiring and development. AI Proficiency at Sword Health AI fluency is a core expectation at Sword Health. Every candidate is assessed against our three-level framework — be ready to share real examples of how AI is already part of how you work. * Explorer (Level 1) — Uses AI daily to boost personal productivity * Builder (Level 2) — Creates workflows and tools that elevate the whole team * Integrator (Level 3) — Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. * Lead the design and implementation of advanced training programs tailored to address specific knowledge and performance gaps within the Customer Success team. * Develop and execute a cohesive strategy for enablement, ensuring alignment with global best practices in positioning Sword Health throughout the customer lifecycle process. * Oversee the onboarding process for new hires, ensuring they are fully integrated and equipped with the necessary tools and knowledge. * Collaborate with Customer Success leadership to create and manage enablement projects, such as playbooks for managers, training tracks, and certification programs. * Analyze and track performance metrics to assess the effectiveness of enablement initiatives, making data-driven adjustments as needed. * Serve as a key liaison between Customer Success teams and other departments, fostering cross-functional collaboration to enhance overall team performance. * 8+ years of experience in Customer Success enablement, enterprise sales management, or a related field, with a proven track record of managing and delivering successful enablement projects from inception to completion. * Expertise in designing and implementing commercial training programs that drive measurable improvements in Customer Success readiness and performance. * Strong understanding of the Customer Success cycle, including common challenges and best practices. * Exceptional communication, presentation, and interpersonal skills, with the ability to influence and build relationships across all levels of the organization. * Proven ability to analyze performance data and translate insights into actionable strategies. * Demonstrated experience in leading cross-functional teams and driving collaboration across departments to achieve Customer Success objectives. What we would love to see * Experience working with AI-driven tools and platforms to enhance Customer Success enablement strategies. * A background in global Customer Success enablement, with a focus on supporting Customer Success teams across multiple regions or countries. $117,234 - $184,225 a year *This range includes base, variable and equity These compensation bands are just the starting point. Once someone joins and proves they’re outlier talent, we adjust quickly to ensure their compensation aligns with their impact. Our job titles may span more than one career level. Actual pay is determined by skills, qualifications, experience, location, market demand, and other factors. Compensation details listed in this posting reflect the base salary and any potential variable, bonus or sales incentives, and the Company’s estimation of the value of private company stock options, if applicable. The pay range is subject to change, future value of company stock options is not guaranteed, and compensation may be modified in the future. In addition to our total compensation, Sword offers a number of benefits as listed below. US - Sword Benefits & Perks: • Comprehensive health, dental and vision insurance*, • Life and AD&D Insurance*, • Financial advisory services*, • Supplemental Insurance Benefits (Accident, Hospital and Critical Illness)*, • Health Savings Account*, • Equity shares*, • Discretionary PTO plan*, • Parental leave*, • 401(k), • Flexible working hours, • Remote-first company, • Paid company holidays, • Free digital therapist for you and your family *Eligibility: Full-time employees regularly working 25+ hours per week Note: Applicants must have a legal right to work in the United States, and immigration or work visa sponsorship will not be provided. SWORD Health, which includes SWORD Health, Inc. and Sword Health Professionals (consisting of Sword Health Care Providers, P.A., SWORD Health Care Providers of NJ, P.C., SWORD Health Care Physical Therapy Providers of CA, P.C.*) complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast. Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more. About the role * Work closely with companies on the frontier of LLM-applications, bringing ideas to production-ready apps * Collaborate on a wide variety of LLM-apps from concierge search, codegen, agentic co-pilots and more * Give technical demos the entire suite of LangChain's products * Lead trainings and workshops on best practices, targeted at developer audiences * Collaborate closely with the enterprise sales team to win deals * Collaborate closely with engineering, helping translate customer insights and feedback into product improvements * Lead internally- and externally-facing, special projects that dogfood our new products How to be successful in this role * Engineers who love working with customers or are aspiring future founders * Deployed engineers / solution architects who have experience in the role at developer focused companies. * You have an engineering background and enjoy being a trusted partner to companies * You like to find a way to “make it work”. Bent towards action and service orientation. * You enjoy keeping up to date on the latest industry techniques * You’re comfortable presenting best practices to bigger teams * Bonus if familiar with LangChain or building with LLMs * Can thrive in a fast moving environment. Views unstructured environments as an opportunity to figure out the most impactful work and define the future success of the company. Startup experience is a bonus. * Ownership minded * Minimum experience of 3+ years in a similar technical role: software engineering, customer engineering Locations: WEST (San Francisco, Pacific Northwest, SoCal) CENTRAL (Austin, Chicago, Denver) EAST (New York, Atlanta) EMEA (London, Amsterdam) Compensation & Benefits * We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. * Annual OTE salary range: $150,000-$270,000 USD

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. TBD * 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.

About Blue River Technology We’re Blue River, a team of innovators driven to radically change agriculture by creating intelligent machinery. We empower our customers – farmers - to implement more sustainable solutions: optimize chemical usage, reimagining routine processes, and improving farming yields year after year. We believe that focusing on the small stuff – pixel-by-pixel and plant-by-plant - leads to big gains. By partnering with John Deere, we are innovating computer vision, machine learning, robotics and product management to solve monumental challenges for our customers. Our people are at the heart of what we do. Through cross-discipline collaboration, this mission-driven and daring team is eager to define the new frontier of agricultural robotics. We are always asking hard questions, rapidly iterating, and getting our boots in the field to figure it out. We won’t give up until we’ve made a tangible and positive impact on agriculture. We build the data backbone behind machines that are transforming agriculture. Blue River Technology — the team behind John Deere's See & Spray™ — uses computer vision and machine learning to help farmers reduce herbicide use and grow smarter. Our ML Platform team needs a Data Engineer to keep that intelligence flowing. Why Blue River? You'll work at the intersection of robotics, ML, and sustainability — backed by the scale of John Deere. This isn't data engineering in a vacuum. The pipelines you build directly power machines working in real fields, solving real problems. What you'll do • Own data pipelines end-to-end — ingestion, quality, performance, and reliability, • Optimise queries and shape data architecture across the ML development lifecycle, • Build and maintain ETL workflows that feed annotation, exploration, and model training, • Support infrastructure scalability across AWS (S3, DynamoDB, Lambda, SQS, and more), • Improve code quality through automation, testing, and peer reviews, • Collaborate directly with roboticists, backend engineers, and platform teams What you bring • 2+ years in backend engineering / data infrastructure, • Strong Python skills, • Hands-on experience with ETL pipelines and data architecture, • Solid grasp of relational and non-relational databases, • AWS services (S3, DynamoDB, EC2, Lambda, ECR, SQS, SNS), • Docker + CI/CD (GitHub Actions or Jenkins), • Clear communicator who documents well and works cross-functionally, • BS or MS Computer Science Bonus points • Databricks / Apache Spark, • Kubernetes in production, • Terraform or CloudFormation Compensation and Perks • This is a contractor role working with a small, collaborative team of 5, • Location preference is North America, Pacific time zone, • Hourly Rate starting at $70/hour #LI-JM1 #LI-Remote Thank you for considering this opportunity. Funded.club Senior Recruiters partner exclusively with Startups and are in direct communication with hiring managers and founding team members. Your application will be fully reviewed by a dedicated recruiter who will respond based on the matching of your experience and qualifications.

At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need—and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women’s health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. Role Sword Health is looking for an entrepreneurial individual to join our fast-paced and dynamic Health Plan Customer Success team. You will work directly with customers and internal teams to onboard, manage, and grow Sword’s expanding portfolio of health plan customers. We are seeking Customer Success leaders who are comfortable managing a range of accounts, who love building relationships with our health plan customers, and who are laser-focused on delivering results. The ideal fit will be an organized, detail-oriented, resourceful, and naturally collaborative individual with a passion for delivering better health care to those who need it most. AI Proficiency at Sword Health AI fluency is a core expectation at Sword Health. Every candidate is assessed against our three-level framework — be ready to share real examples of how AI is already part of how you work. * Explorer (Level 1) — Uses AI daily to boost personal productivity * Builder (Level 2) — Creates workflows and tools that elevate the whole team * Integrator (Level 3) — Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. * Day-to-Day Account Ownership: Lead the end-to-end lifecycle for a high-priority book of health plan business. You aren't just managing accounts; you are the "General Manager" of your portfolio, driving long-term retention, health plan satisfaction, and revenue growth. * Build trusted & strategic relationships with our health plan customers — understand their needs/objectives and drive Sword’s clinical and economic outcomes to exceed them. * Navigate Complex Payor Landscapes: Masterfully navigate the nuances of various lines of business (ASO, Fully Insured, Medicare, and Medicaid) to ensure Sword’s value proposition resonates with diverse internal payor stakeholders. * Maximize Partner Value Post-Pull-Through: Serve as the primary lead for the health plan’s employer portfolio. You will ensure operational excellence by identifying barriers to sustained enrollment and collaborating with plan partners to streamline the ongoing member experience. * Champion Clinical & Economic ROI: Act as a consultative partner by translating complex data sets into compelling narratives. You will prove Sword’s impact through rigorous reporting, and high-impact Business Reviews. * Architect Account Plans: Develop and maintain multi-year account success plans that identify white space for expansion, mitigate churn risks, and align Sword’s roadmap with the customer’s overarching population health goals. * Internal Collaboration: Partner with Implementation and Marketing teams to ensure seamless launches and aggressive member enrollment targets. * Payor Growth & Renewals: Own the renewal process and identify organic growth opportunities, working closely with sales to upsell new products or expand into new lines of business. * Voice of the Payor: Serve as a bridge between the market and the Sword Product team. Distill payor-specific feedback, regulatory requirements, and competitive intelligence into actionable insights to influence our product evolution. * Operational Excellence: Mentor junior team members and contribute to the "playbook" of the Health Plan team, building the scalable processes necessary for a world-class Customer Success organization. * Experience with managing national and regional health plans across fully insured, ASO, and Medicare lines of business. * 5+ years of experience in enterprise-level customer success/account management or roles, ideally in digital health with health plan experience * Experience building relationships with team members, customer stakeholders, c-level executives, and third party organizations * Strong understanding of the payor financial landscape, including medical loss ratios (MLR) and value-based care models. * Strong process orientation, with an ability to identify needs and execute projects that improve our Customer Success practice and relationships with partners. * Strong growth mindset and ability to influence via analytical and story-telling skills * Strong project management skills, ability to manage multiple customers and projects simultaneously, keeping stakeholders aligned on key deliverables and timing * Ability to create structure within an ambiguous environment. * Passionate about bringing world-class healthcare to those who need it * No ego, highly collaborative, goal-oriented and confident; comfortable working in ambiguity and generally being adaptable. $116,340 - $182,820 a year *This range includes base, variable and equity These compensation bands are just the starting point. Once someone joins and proves they’re outlier talent, we adjust quickly to ensure their compensation aligns with their impact. Our job titles may span more than one career level. Actual pay is determined by skills, qualifications, experience, location, market demand, and other factors. Compensation details listed in this posting reflect the base salary and any potential variable, bonus or sales incentives, and the Company’s estimation of the value of private company stock options, if applicable. The pay range is subject to change, future value of company stock options is not guaranteed, and compensation may be modified in the future. In addition to our total compensation, Sword offers a number of benefits as listed below. US - Sword Benefits & Perks: • Comprehensive health, dental and vision insurance*, • Life and AD&D Insurance*, • Financial advisory services*, • Supplemental Insurance Benefits (Accident, Hospital and Critical Illness)*, • Health Savings Account*, • Equity shares*, • Discretionary PTO plan*, • Parental leave*, • 401(k), • Flexible working hours, • Remote-first company, • Paid company holidays, • Free digital therapist for you and your family *Eligibility: Full-time employees regularly working 25+ hours per week Note: Applicants must have a legal right to work in the United States, and immigration or work visa sponsorship will not be provided. SWORD Health, which includes SWORD Health, Inc. and Sword Health Professionals (consisting of Sword Health Care Providers, P.A., SWORD Health Care Providers of NJ, P.C., SWORD Health Care Physical Therapy Providers of CA, P.C.*) complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. Nebius is building the cloud infrastructure that will power the next generation of Physical AI—robotics, autonomous systems, simulation/world models, and embodied intelligence operating in the real world. The Principal, Business Development – Physical AI is a strategic market-creation role responsible for developing and driving the Go-To-Market (GTM) strategy for the entire Physical AI ecosystem. You will act as the founding commercial lead, bridging the gap between our infrastructure and the three pillars of the industry: Model Builders (Foundation Models), Robot Builders (Humanoids/Autonomous Systems), and ISVs (Simulation/Data Tools). You will own the ecosystem strategy, ensuring Nebius becomes the default infrastructure for embodied intelligence. Operating at the intersection of supply (Nebius technology) and demand (The Physical AI Ecosystem), you will architect the strategy for winning developer mindshare, validate it through "Lighthouse" wins, and scale it by enabling the broader field. This is a definitive "Zero to One" opportunity to define the commercial strategy for a new category of cloud infrastructure from the ground up. You’re welcome to work remotely from the United States (SF Bay Area, CA & Austin, TX Preferred) Your responsibilities will include: • Ecosystem GTM Strategy: Create and own the comprehensive Go-To-Market strategy for the Physical AI vertical. Define the segmentation, targeting, and positioning for Model Builders, Robot Builders, and ISVs, ensuring we have a cohesive narrative for the entire value chain., • Lighthouse Deal Execution: Identify and secure relationships with the top 10 most innovative companies in the ecosystem (e.g., Foundation Model builders, Humanoid startups), converting them into "Design Partners" whose successvalidates our platform., • Drive Ecosystem Revenue: Own the long-term revenue trajectory of the Physical AI domain, ensuring that early "Lighthouse" technical wins translate into massive, high-volume compute consumption as our customers scale their training and simulation workloads., • Field Enablement: Act as a force multiplier for the sales organization by codifying your market learnings into a scalable "Physical AI Playbook." Create battle cards, training modules, and positioning guides to enable the core Sales, Marketing, and Partnership teams to identify and close opportunities independently., • ISV & Partner Alignment: Map the critical software stack (Simulation platforms, Data Labeling, Middleware) and structure partnerships that create a frictionless developer experience. Ensure our GTM strategy aligns with these partners to drive co-sell motions., • Product Signal: Serve as the primary sensor for Product & Engineering, synthesizing complex customer requirements regarding simulation, synthetic data, and reinforcement learning into clear product signals., • Orchestrate Joint Value: Structure "first-of-their-kind" partnerships and design partner agreements that serve as templates for the rest of the organization, moving beyond standard cloud consumption contracts., • Ecosystem Evangelism: Evangelize our vision at industry events (e.g., CVPR, CoRL, ICRA) and executive briefings, positioning Nebius not just as a vendor, but as a fellow innovator in the stack., • Feedback Loops: Maintain structured internal feedback loops to ensure customer learnings, friction points, and unmet needs are tracked, communicated, and acted upon by leadership. We expect you to have: • 7+ years of experience in business development, strategic partnerships, or product strategy within Cloud, AI, or Robotics., • GTM Strategy Experience: Proven ability to define a strategy from scratch—segmenting a market, defining the pitch, and building the playbook for others to follow., • Market Maker Capacity: Experience taking new, complex technologies and finding their first foothold with technical early adopters before a playbook existed., • Deep Domain Fluency: You speak the language of the builders. You understand the difference between Sim2Real gaps, foundation model training, and inference latency. You know the key players (startups and ISVs) in the modern robotics stack., • Enablement Mindset: You enjoy teaching and scaling knowledge. You can take complex technical wins and distill them into simple, repeatable sales motions for a broader team., • Cross-Functional Orchestration: Proven track record of working across Sales, Marketing, Product Marketing, and Partnerships to align distinct teams behind a unified GTM strategy and execution plan., • Startup DNA: Experience working with (or within) high-growth, venture-backed startups. You understand the urgency, the technical depth, and the pivot-ready nature of this customer base., • Communication: Strong executive presence and communication skills, capable of holding your own with VC-backed founders and CTOs., • Comfort in Ambiguity: Experience operating in fast-moving environments where the sales motion is not yet defined and requires real-time iteration. Why Nebius: • Market Creation: You aren't just selling a commodity; you are validating and creating the market for specialized Physical AI infrastructure., • Strategic Impact: Operate with real influence over product direction, company-wide sales strategy, and ecosystem development., • Frontier Technology: Work at the bleeding edge of embodied intelligence, engaging with the companies defining the future of the physical world., • High Leverage: Focus on the top 10% of transformative customers and strategic partners that drive the next 90% of growth, • Mission: Help define how intelligence moves from the data center into the physical world. Key Employee Benefits: • Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families., • 401(k) Plan: Up to 4% company match with immediate vesting., • Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers., • Remote Work Reimbursement: Up to $85/month for mobile and internet., • Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage. Compensation We offer competitive salaries, ranging from $265k - $315k OTE (On Target Earnings) and equity based on your experience, skills, and location. Join Nebius Today! If you’re passionate about pushing the boundaries of AI infrastructure and want to be part of a team that’s shaping the future of AI, we’d love to hear from you. Apply now and become a driving force in our global mission. What we offer • Competitive salary and comprehensive benefits package., • Opportunities for professional growth within Nebius., • Flexible working arrangements., • A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

ABOUT THE TEAM Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialise and deploy LLMs into production with measurable impact. We provide the core infrastructure to tune, evaluate, and serve specialised models at scale — pioneering task-specific LLM development and running production-ready workflows that serve millions of requests while optimising for both cost and performance across distributed systems. Our tightly-knit team was previously involved in the creation of state-of-the-art open-access large language models. We raised a $20M seed led by Index Ventures and ICONIQ in early 2024, and we’re already live in production with customers including Manulife, AT&T, and Deloitte, across travel and financial services — with much more to be announced soon. ABOUT THE ROLE We’re looking for a Customer Success Engineer to be the technical backbone of our customer relationships — from the first technical conversation through to long-term production success. Based in New York City, you’ll operate across the full customer lifecycle: deep enough technically to win enterprise deals in pre-sales, and commercially minded enough to grow and retain the accounts you help land. The best people in this kind of role run rigorous discovery, design architectures that solve real business problems, and earn the kind of trust that makes customers come back for every major decision. You won’t just hand off after a deal closes. You’ll stay embedded: owning deployment success, driving adoption, and becoming the trusted technical advisor your customers rely on in production. The role suits someone who has operated at the intersection of Solutions Engineering and Customer Success before, or a strong Solutions Architect ready to own the full arc of customer value. WHAT YOU’LL DO Pre-Sales * Lead customer-facing workload planning — understanding model usage patterns, expected throughput, and infrastructure constraints to scope solutions accurately from day one. * Own solution architecture in the sales cycle: infra selection, TCO calculation, and performance benchmarking tailored to each prospect’s environment and LLM workloads. * Design and deliver compelling technical demos and proof-of-concept implementations that map Adaptive ML’s capabilities directly to customer pain points and existing infrastructure. * Respond to technical evaluations, RFPs, and security reviews; go deep with engineering and data science counterparts on architecture decisions and integration requirements. * Partner with Account Executives to shape deal strategy, accelerate procurement timelines, and remove technical blockers standing between a prospect and a signed contract. Post-Sales * Own technical onboarding end-to-end — designing integration architectures, working directly with customer engineering teams, and driving time-to-first-value. * Support and continuously optimise live deployments: cost optimisation, performance tuning, and workload expansion across multi-geo and multi-team customer environments. * Be the escalation point for production issues — investigating and debugging problems spanning k8s deployments, Helm configurations, model serving infrastructure, and distributed systems. * Drive workload expansion proactively: surface new use cases, additional model workflows, and untapped product capabilities that create value across your account portfolio. * Conduct regular technical and business reviews with customer stakeholders, translating infrastructure metrics into business impact and building the case for renewal and growth. Internal & Cross-Functional * Build reusable technical assets — reference architectures, integration guides, runbooks, and demo environments — that scale knowledge and accelerate future deals. * Act as the voice of the customer internally: channel field insights directly to Product and Engineering to shape the roadmap and prioritisation. * Contribute to infra sizing and workload planning discussions alongside Solutions and DevOps colleagues, with particular focus on the NA region (NYC/Toronto coverage). YOUR (IDEAL) BACKGROUND We encourage candidates to apply even if their experience doesn’t match every point below. Experience * 3–6+ years in a customer-facing technical role — Solutions Engineer, Solutions Architect, Customer Success Engineer, or Technical Account Manager — ideally in B2B SaaS, cloud, or infrastructure. * Proven ability to operate across both pre-sales and post-sales: you’re as comfortable running a technical architecture review for a VP of Engineering as you are debugging a production incident with a DevOps team. * Track record with enterprise customers in complex technical environments — multi-stakeholder deals, long sales cycles, and durable post-sale technical relationships. * Demonstrable outcomes: successful deployments, adoption growth, expansion revenue, or strong renewal rates. You own the result, not just the activity. * Experience at a fast-growth or early-stage company is a strong plus — you know what it takes to build things from scratch under pressure. Technical Skills * Strong infrastructure instincts: you can confidently size GPU and storage requirements, reason about TCO trade-offs, and produce architecture diagrams that a CTO would trust. * Skilled at architecture design — you can whiteboard a solution live, document it clearly, and defend design decisions with technical rigour. * Hands-on with Kubernetes (k8s): you can investigate deployment issues, read and edit Helm charts, and navigate distributed systems problems in production environments. * Python proficiency — enough to build proof-of-concepts, write integration scripts, and benchmark model performance against real customer workloads. * Familiarity with ML infrastructure concepts: model serving, LLM fine-tuning, inference optimisation, and the operational realities of running models at scale is a strong plus. * Comfortable working alongside DevOps and SRE teams; you understand their tooling, constraints, and language. The Right Profile * You ask sharp discovery questions, design clean solutions, and earn trust through genuine expertise rather than commercial polish. * Strong communicator across audiences — you can simplify a complex distributed architecture for a CFO and go deep on inference latency with a staff ML engineer in the same afternoon. * You own outcomes. In fast-moving, ambiguous environments you figure out what matters and act — you don’t wait for a brief. * Genuine curiosity about generative AI and LLMs. The technology you’re selling and supporting moves fast; intellectual interest in the space makes a real difference. * Based in New York City, comfortable in the NA time zone for customer-facing coverage. BENEFITS * Comprehensive medical (health, dental, and vision) insurance. * 401(k) plan with 4% matching. * Unlimited PTO — we strongly encourage at least 5 weeks each year. * Mental health, wellness, and personal development stipends. * Visa sponsorship available if required.

Arbiter is the AI-powered care orchestration system that unites healthcare. We are launching our best-in-class, patient-facing Agentic platform to optimize patient outcomes through a unique multimodal approach. We optimize complex healthcare workflows that interface with patients using the latest Agentic AI approaches, and we combine it with a sophisticated platform to serve this Agentic layer at scale. We are looking for expert engineers and leads to join our team and help us push the frontier of what's possible with Agentic workflows + Healthcare. Backed by one of the largest seed rounds in health tech history and operators who bring the expertise and distribution to scale nationally, we're building the connected infrastructure healthcare should have had all along. Our Engineering Culture & Values We are a high-performing group of engineers dedicated to delivering innovative, high-quality solutions to our clients and business partners. We believe in: * Engineering Excellence: Taking immense pride in our technical craft and the products we build, treating both with utmost respect and care. * Impact-Driven Development: Firmly committed to engineering high-quality, fault-tolerant, and highly scalable systems that evolve seamlessly with business needs, minimizing disruption. * Collaboration Over Ego: Valuing exceptional work and groundbreaking ideas above all else. We seek talented individuals who are accustomed to working in a fast-paced environment and are driven to ship often to achieve significant impact. * Continuous Growth: Fostering an environment of continuous learning, mentorship, and professional development, where you can deepen your expertise and grow your career. Responsibilities As a Senior Backend Engineer, you will engineer production agentic systems that directly serve hundreds of thousands of users at scale. Think forward-deployed engineering: you take powerful platform capabilities, design multi-step workflows that orchestrate voice, SMS, video, and web interactions, and ship them to production where real outcomes are measured. The problems are genuinely hard. You're building systems that navigate complex conversations in multiple mediums, handle sensitive nuances and edge cases in multiple languages, coordinate multi-outcome workflows across departments, and adapt dynamically based on user responses. You will innovate on how agentic technologies can be pushed to their maximum potential, not follow a playbook. Roughly 60-70% of your time is deployment-focused. The remainder is platform contribution: building reusable workflow primitives, improving shared infrastructure based on patterns you see across customers, and shaping how we architect agentic systems at scale. Your field experience makes you one of the most valuable voices in platform decisions. * Engineer Agentic Deployments: Design, build, and ship multi-step, multi-modal agentic workflows (voice, SMS, video, chat, web) tailored to specific customer use cases. Own these systems end-to-end from requirements through production monitoring. * Solve Hard Problems Creatively: Each deployment surfaces novel challenges: complex scheduling logic, real-time EHR data flows, multi-outcome conversations, adaptive patient journeys. You are expected to think independently and build solutions that go beyond existing patterns. * Translate Requirements into Technical Designs: Partner with Customer Success and stakeholders to understand operational needs, then architect agentic workflows that address them. Push back when requirements don't make sense. Propose better approaches when you see them. * Ship to Production with High Standards: Deploy and operate customer-facing systems with strict reliability, compliance, and quality requirements. Instrument thoroughly, monitor outcomes, and iterate based on real-world performance. * Contribute to the Platform: Identify reusable patterns across deployments and contribute them back as platform capabilities. Improve shared tooling, workflow primitives, and infrastructure based on what you learn in the field. * Cross-Functional Collaboration: Work with product, data, engineering, and clinical teams to align deployment work with broader platform direction and company goals. Minimum Qualifications * 5+ years of hands-on experience building and operating production software systems. Recent experience with AI-powered services, automation, or workflow systems is a strong plus. * Computer Science or Engineering degree, or equivalent practical experience. * Strong software engineering fundamentals: you write clean, testable, well-structured code and care about the systems you build. * Python proficiency (our primary backend language). * Proficiency with AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot). * Experience with real-time integrations (APIs, webhooks, bidirectional data sync) in production. * Experience working across the stack when needed. You're primarily backend-focused but not afraid to touch whatever layer the problem requires. * Experience with cloud infrastructure (AWS, GCP, or Azure) and production deployments. * Comfort with ambiguity. You can take a loosely defined problem, structure it, and drive it to a shipped solution without heavy hand-holding. * Strong communication skills. You will regularly interface with non-technical stakeholders and need to explain technical tradeoffs clearly. Preferred Qualifications * Experience building agentic workflows, including orchestration across tools and services, multi-step automation, or human-in-the-loop patterns. * Experience integrating LLM APIs and working with prompt engineering and evaluation. * Track record of working directly with customers or end users and translating their needs into technical solutions. * Startup or early-stage experience operating in fast-moving, high-ambiguity environments. This role can be remote or on-site, based in our New York City or Boca Raton offices, in a fast-paced, collaborative environment where great ideas move quickly from whiteboard to production. Job Benefits We offer a comprehensive and competitive benefits package designed to support your well-being and professional growth: * Highly Competitive Salary & Equity Package: Designed to rival top FAANG compensation, including meaningful equity. * Generous Paid Time Off (PTO): To ensure a healthy work-life balance. * Comprehensive Health, Vision, and Dental Insurance: Robust coverage for you and your family. * Life and Disability Insurance: Providing financial security. * Simple IRA Matching: To support your long-term financial goals. * Professional Development Budget: Support for conferences, courses, and certifications to fuel your continuous learning. * Wellness Programs: Initiatives to support your physical and mental health. Pay Transparency The annual base salary range for this position is $148,500-$190,000. Actual compensation offered to the successful candidate may vary from the posted hiring range based on work experience, skill level, and other factors.

About the Job: LaunchDarkly is looking for a Full Stack Engineer to help build and expand Vega, our AI-powered platform that surfaces insights and automates actions across LaunchDarkly products. This is a greenfield opportunity: you'll help evolve Vega from an Observability-focused assistant into a cross-product platform that serves Feature Management customers and powers a new, usage-based SKU. You'll build the surfaces, APIs, and agent infrastructure that make Vega and the whole Observability platform broadly valuable—enabling capabilities like AI-driven dashboard creation, flag cleanup automation, and sandboxed agent execution. You'll work across the full stack (React/TypeScript UI, Go services, data pipelines) and collaborate closely with product, design, and other engineering teams to shape how AI capabilities land across LaunchDarkly. Additionally, you’ll work on other Enterprise-grade capabilities for the Observability platform to help drive customer activation and success. What You'll Work On: • Expand Vega beyond Observability into Feature Management, including the flag cleanup agent as a cross-product capability, • Support enterprise capabilities for the Observability platforms: building data import and export pipelines to connect O11y to other platforms and enabling new customer workflows., • Build a platform that other teams can contribute to—defining contribution patterns, shared infrastructure, and safe, sandboxed AI agent execution, • Enable dashboard creation via natural language prompts, using existing Vega infrastructure as a foundation, • Consolidate Vega usage into fewer, higher-value surfaces, enabling faster iteration and justifying a usage-based monetization model, • Run experiments to expose Vega to mainstream FM customers across core workflows, measuring adoption and informing monetization, • Partner with product and design to ensure Vega capabilities are intuitive, well-integrated, and impactful for end users, • Contribute to architecture decisions, code reviews, and engineering standards across the Observability and Vega teams Responsibilities: • Design, build, and ship full-stack features across the Vega platform (UI, APIs, backend services, and agent infrastructure), • Own features end-to-end: from prototype and API design through production rollout and iteration, • Collaborate cross-functionally with product managers, designers, and engineers across Observability and Feature Management, • Participate in architecture discussions and technical design reviews, contributing to sound trade-off decisions, • Write well-tested, maintainable code and promote best practices for quality, observability, and reliability, • Mentor teammates and contribute to a collaborative, high-trust engineering culture, • Participate in on-call rotations and take ownership of production reliability for your features About You: • 3+ years of professional software engineering experience, with a track record of shipping production-quality full-stack features, • Proficiency across the full stack—comfortable in TypeScript/React on the frontend and Go (or similar) on the backend, • Experience building or integrating LLM-powered features, agents, or AI-driven workflows, • Strong product instincts: you care about user experience and can translate ambiguous requirements into clean, well-scoped solutions, • Collaborative and communicative—you work well across teams and functions, and you're comfortable navigating ambiguity, • Familiarity with LaunchDarkly, feature flagging, or observability tooling is a plus, • Experience with usage-based product surfaces, experimentation platforms, or developer tooling is a plus Pay: Target pay ranges based on Geographic Zones* for Level 2: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $136,500 - $187,660**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $122,800 - $168,850**, • Zone 3: All other US locations - $116,000 - $159,500 * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages, • Delivering targeted experiences by easily personalizing features to customer cohorts, • Maximizing the business impact of every feature through the ability to experiment and optimize, • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types, • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at ___. Do you need a disability accommodation? Fill out this ___ and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @___ email addresses. 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 ___.

___ is pioneering ___ — a fully decentralized way to train and deploy AI models that opens this capability to individuals rather than well-resourced corporates. By pooling compute from many participants, incentivizing their efforts, and preventing any single party from controlling a model's full weights, we're creating a genuinely open, collaborative path to frontier-scale AI. We're looking for a Developer Relations Lead to be the technical bridge between Pluralis's research and the broader ML/systems community. You'll take dense, novel research (distributed training, communication-efficient model parallelism, fault-tolerant optimization) and make it legible, compelling, and accessible to researchers, engineers, and builders. This isn't a traditional marketing role. We need someone who can read our papers, understand the architecture, and explain it clearly in a blog post, a conference talk, or a Twitter thread. You'll own our technical voice and be the person the community associates with Pluralis's work. * Technical Content: Write blog posts, threads, and explainers that break down our research for ML engineers and systems researchers. Turn papers into narratives. Produce technical walkthroughs of our training runs, architecture decisions, and results. * Community and Developer Engagement: Own Discord and Twitter/X as technical channels. Engage directly with researchers and engineers in ML, distributed systems, and decentralized compute communities. Be present and credible in spaces like Hacker News, Reddit (r/MachineLearning, r/LocalLLaMA), and relevant Discords. * Conference and Event Presence: Represent Pluralis at ML conferences (ICLR, ICML, NeurIPS). Give talks, run demos, and build relationships with the research community on the ground. * Contributor Experience: Improve the onboarding and communication experience for GPU contributors participating in training runs. Write documentation, guides, and troubleshooting resources. * Multimedia: Produce and edit video content--paper walkthroughs, research explainers, contributor tutorials. Manage the YouTube channel. * Partnership Support: Create co-marketing materials and coordinate announcements with ecosystem partners. Support the team with investor and press-facing technical content when needed. * Growth and Analytics: Track metrics across all channels. Run experiments, optimize for discoverability, and double down on what drives engagement. Own reporting on community growth, content performance, and contributor pipeline. * Market Intelligence: Track developments across decentralized training, open-weight releases, and frontier model development. Feed insights to leadership so we stay ahead of the conversation. * Technical Depth: You can read an ML paper and extract the key insight. You understand concepts like model parallelism, pipeline parallelism, gradient compression, and distributed optimization — or you can get up to speed quickly. You don't need to be an ML researcher, but you need to hold your own in a room full of them. * Communication: Exceptional written and verbal skills. You can take a complex system like our fault-tolerant distributed training stack and explain it in a way that's accurate, clear, and interesting to both a PhD student and a crypto-native builder. * Track Record: You've produced technical content that people actually read and share. Blog posts, conference talks, Twitter threads, YouTube videos. Show us your work. 5+ years in DevRel, technical marketing, developer education, or a research-adjacent communication role. * Community Native: You live in the communities we care about. You're already on ML Twitter, in research Discords, lurking on Hacker News. You know who the key voices are and how to earn credibility in technical spaces. * AI-Native: You use AI tools to maximize your output. If you're not already using agents and LLMs to 10x your work, this probably isn't the right fit. * Self-Directed: Owns outcomes, operates independently. We're a small team--you'll have a lot of autonomy and responsibility. You'll work closely with researchers and engineers to source content, but you drive the strategy and execution. * Bonus Points: Published research, open-source contributions, previous experience at an ML/AI company, developer relations at an infrastructure or dev tools company. * Equity-Heavy Package: Meaningful ownership in a seed-stage company. * Competitive Base: Pluralis is hiring the best. Our team is from Google, Amazon, Atlassian, Anthropic. We want to remain competitive. * Remote-First Culture: Flexible work environment with team members distributed in Australia and the United States. This is a full-time, remote position with the opportunity to collaborate with the team in person on a quarterly basis. * We only hire in Australia and the United States to ensure timezones align. This role in particular is looking for someone based in the United States (however open to exceptional candidates in Australia) * Applicants must have professional-level English proficiency (written and spoken). * Pluralis is a remote team across Australia and the US. You'll need to be comfortable working across timezones and collaborating with a diverse, distributed group. * Recruiters: we aren't looking for agency support at this time. We'll reach out if we need help. Backed by ___ and other tier-1 investors, we're a world-class, deeply technical team of ML researchers. Pluralis is unapologetically ideological. We view the world as a better place if we are able to implement what we are attempting, and Protocol Learning as the only plausible approach to preventing a handful of massive corporations monopolizing model development, access and release, and achieving massive economic capture. If this resonates, please apply.

About the Job: The Digital Led Customer Success Manager reports directly to the regional CS leader and represents LaunchDarkly as the direct point-of-contact with our customers post-sales. They are LaunchDarkly subject-matter experts, guiding our new and existing customers through implementation and adoption with a heavy focus on 1:many outreach tactics and leveraging data to engage with the right customers at the right time. This is a relatively new team at LaunchDarkly, and the best candidate for this role will have a passion for customer success, experience leveraging data to manage a large customer portfolio, and an interest in helping to build a best-in-class Digital Led CS organization while executing at a high level. Responsibilities: • Customer Onboarding: Leverage customer journey data to understand which customers need additional support through onboarding. Drive them to 1:many marketing engagements or work with them 1:1 to ensure all customers in your portfolio are onboarded and activated correctly., • Risk Identification and Mitigation: Use data and product signals to proactively identify risks. Develop both 1:many and 1:1 risk mitigation strategies and coordinate across the account team to steer customers towards success., • Technical Guidance: Maintain a deep level of LaunchDarkly product knowledge and provide customers with direction on implementation and adoption best practices., • Prescriptive Selling: Monitor how customers are tracking against their key goals and outcomes. Identify opportunities for customers to purchase additional products, services, and adopt new features to maximize the value of our solution., • Trusted Advisor: Build trust quickly and provide prescriptive guidance to help customers get the most out of their LaunchDarkly purchase., • Build Champions & Executive Relationships: Identify and support key advocates within customer organizations who actively promote the value of LaunchDarkly. Leverage success metrics and value-driven insights to gain executive sponsorship in partnership with your Champion., • Renewal and Expansion Focus: Own and forecast the renewal process on a weekly basis. Work directly with customers, sales, and deal desk to execute renewal agreements on time and identify expansion opportunities within accounts. About You: • Entrepreneurial and Self-Motivated: You are driven and proactive, taking ownership of your role and responsibilities. You operate with a high level of urgency at all times. You thrive in a highly ambiguous, start up environment. This is a new team at LaunchDarkly and you will be helping to build the organization while executing within it!, • Passion for Learning and Growth: You are enthusiastic about continuous learning and personal development at LaunchDarkly. You view feedback as a necessity for growth so consistently seek it out and give it., • Highly Data Driven: You enjoy identifying trends in data and have a proven track record of leveraging data to make informed decision making on behalf of your customers, • Intellectually Curious: You have a hunger for knowledge and are naturally a question-asker., • Excellent Communication: Your written and spoken communication skills are outstanding., • Organized & Autonomous: You are capable of efficiently managing your workload and have a process for time management. You are able to prioritize a large customer portfolio to engage with the right customers at any given time. You do not require a lot of external direction to organize and manage your workload., • Strong Sales Acumen: You have a high level of sales acumen, strong negotiation skills and are eager to own a number. This is a commercially focused CS organization., • Natural Problem Solver: You have strong critical thinking skills and enjoy the process of solving complex customer problems. You are able to escalate issues when necessary in a clear, effective manner., • Team Player: You collaborate well with others, know when to pull specialists or leaders in and keep others informed proactively. Win as a team! Qualifications: • Located in the Continental US, • 5+ years in a customer-facing role, ideally in scaled/1:many/tech touch onboarding/implementation, account management, customer/partner success, or customer support, with a track record of exceeding targets., • Proven success in a 1:many/tech touch/tech-led Customer Success organization., • Highly data-driven with experience using product telemetry and growth/risk signals to target the right customers at the right time., • Experience owning the renewal process and being held accountable to a retention quota. This is a commercially oriented Digital Led Customer Success team., • Strong discovery and qualification skills; training in Command of the Message, MEDDIC, or another sales methodology is preferred., • Strong project management skills with experience holding customers and cross-functional teams accountable to a timeline., • Experience working with a technical product, ideally interacting with developers or other technical personas as your primary customer. Experience within the DevOps space is preferred., • Exceptional time management and organizational skills., • An existing level of technical knowledge and know-how. We will teach you all about LaunchDarkly, but you should already have foundational knowledge in the space!, • Proven ability to advocate for both customers and the company, mediating between customer requests and the company's vision. Pay: Target pay ranges based on Geographic Zones* for Level 3: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $136,000 - $187,000**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $122,000 - 168,000**, • Zone 3: All other US locations - $116,000 - $159,000** 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 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 ___.

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. Grafana Cloud moves millions of metrics, log lines, and traces per second from our customers' environments into a highly available, low-latency stack that processes and stores this data, and serves them to dashboards and alerting tools. We aim to grow this to hundreds of millions per second, and it's critical that as we grow, we improve our performance, increase our reliability, and, of course, do it efficiently and effectively. The Internal Engineering Platform (IEP) delivered by the Platform group provides application engineers with the tools, systems and Kubernetes clusters they need to build, deploy and run their workloads. Platform roles at Grafana Labs have an eye for engineers with a passion for performance and reliability, and who enjoy taking projects from conception to production. We organize ourselves into squads to allow focus on: cloud infrastructure and capacity management; security; engineering productivity; monitoring and sustainability; and US Federal compliance. Because we deploy production services, we have on-call rotations to ensure the health of the system. Everyone at Grafana Labs tries to incorporate and use our product line up into their day-to-day, so being on call is an important way to understand our system and how people use our products. We’re hiring for our Platform InfraSec squad. This squad owns the automation and decision making around our underlying CSP and compute security features for Grafana Cloud. This includes cloud service provider IAM, Kubernetes RBAC, secret management, and workload security. We’re hands on with writing and shipping code as we aim to simplify secure decision making for engineers by providing pre-configured, secure templates and embedding security best practices into our development tools. We also help the rest of our engineers contributing to Grafana Cloud make the best security decisions possible for all the products we build, through security reviews and advisory. 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). You enjoy working with engineers, as well as with the management structures that are there to support you and enable you and your team to do your very best. You are comfortable working in a remote-first company; communication is key. For us, working together means being collaborative, friendly, kind, and respectful. We operate by consensus, you can contribute to a discussion but then commit to the team decision. As such, being such a highly distributed company, means we would love someone who is keen on working with distributed systems, too. You are eager to learn and grow. There is a lot of room for growth and development, and the team has quite a lot of knowledge to share for those who are wanting to learn. You approach development holistically. The team owns the full life cycle of our code; from writing design docs, to looking at developer feedback, and integration testing. We appreciate engineers who enjoy looking at the big picture, and also notice the details of the brush strokes. The Platform team mainly works with Go, Python, and Shell. You have experience with operating your code. Since a lot of operators and developers use our software, having some grounding in both of these spaces really helps us with building better platforms for our users. • Familiarity with CSP IAM and Kubernetes RBAC., • Proficiency with Infrastructure as Code, particularly with Terraform/Crossplane. We have mixed usage - each has its strengths., • Experience operating and managing workloads on Kubernetes., • Experience with cloud security posture management (CSPM)., • You’ve worked in or on open source, or other community-based projects previously. At Grafana Labs, “OSS is in our DNA”., • Experience with a few CSPs. We run Grafana Cloud on AWS, GCP, and Azure using each’s managed Kubernetes service - EKS, GKE, AKS., • Familiarity with threat modeling, secure architecture reviews, and security tabletop exercises., • Enjoys programming in Go. We love building our own tools, utilities, exporters, etc. that suit our needs and otherwise don’t exist (and open sourcing them)., • Strengthening access controls and enhancing developer experience by providing safer defaults., • Streamlining Just In Time Access through IAM and RBAC change process and automation., • Improving Cluster and Node level Security Posture and Observability. Compensation & Rewards: In the United States, the Base compensation range for this role is USD 127,651 - USD 153,180. 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 .

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.

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.

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 .

Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco. Stitch Fix is redefining retail by blending the art of fashion with the science of machine learning. The Client Experience Algorithms team builds the tools that power personal style, combining best-in-class models with expert human judgment. We foster a culture of ownership where Data Scientists manage the full lifecycle of their work, from research to model deployment. You’ll use multidisciplinary tools to solve complex problems in a data-rich environment, directly influencing how millions of clients discover what they love. The Styling Algorithms team sits directly at the interface between our technology and models, and our team of over 1500 stylists. We build the recommendations systems and AI assists which help our front-line employees do the right tasks, surface the right merchandise, and communicate effectively with our customers. Our systems make use of frontier AI models, as well as our own industry-leading machine learning models, to serve an experienced and highly-engaged stylist community; which in turn serves over two million active clients. This role is primarily focused on the recommendation and search engines that power our styling interface. You will be a key contributor to the system that surfaces inventory to our stylists. While you will collaborate closely with the Foundational Models team (who build our base embeddings), you will own the ranking logic, business logic layers, and the deployment of these models into production. You will also prototype and deploy agentic AI workflows to assist stylists in real-time. This role has a direct impact on the business’s bottom line, and throughout the company's history has been a key source of our innovation and competitive differentiation. • You will be a primary technical owner of our human-in-the-loop augmented recommendations., • You will work in a team that embraces both LLMs and traditional ML., • You will manage experiments to test new features, including communication of results to stakeholders and leadership., • You will solve problems related to recommendation ranking, hyperparameter optimization, and assortment generation., • You can leverage a decade's worth of rich and unique data about our clients, our merchandise, and their interactions., • You will work with our product, product design, and engineering teams to create roadmaps for developing new client products, user features, and infrastructure., • You have 3+ years of real-world experience in leveraging Data Science to develop customer-oriented solutions with a recent focus on Recommendation Systems and Search, • You understand the nuances of A/B testing and can balance algorithmic metrics with business metrics., • You are fluent in SQL and have experience handling large-scale datasets., • You are proficient in building and deploying apps using the Python data ecosystem., • You have a degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related field., • You have strong communication skills with business partners., • You are a team player who sees your growth and success intertwined with the growth and success of your peers., • You are inspired to take on new challenges and do not shy away from failure., • We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix., • We cultivate a community of diverse perspectives— all voices are heard and valued., • We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail., • We win as a team, commit to our work, and celebrate grit together because we value strong relationships., • We boldly create the future while keeping equity and sustainability at the center of all that we do., • We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact., • We offer comprehensive compensation packages and inclusive health and wellness benefits. Compensation and Benefits This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance. This position is eligible for an annual bonus, and new hire and ongoing grants of restricted stock units, depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site. Salary Range$123,000—$205,000 USD ___ leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data. Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: ___ Recruiting Fraud Alert: To all candidates: your personal information and online safety are top of mind for us. At Stitch Fix, recruiters only direct candidates to apply through our official career pages at ___ or ___. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email ___. You can read more about Recruiting Scam Awareness on our FAQ page here: ___

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

About the Job: The Customer Success Manager reports directly into the regional CS leader and represents LaunchDarkly as the direct point-of-contact with our customers post-sales. They are LaunchDarkly subject-matter experts guiding our new and expanding customers towards implementation and adoption and helping them achieve their desired use-cases and realize value. The best candidate for this role will be passionate about customer success with a keen interest in software development and DevOps, balanced with a strong sales acumen. In LaunchDarkly GTM, we are all customer-obsessed and striving for massive year over year growth. Responsibilities: • Customer Onboarding: You will shepherd in new customers from the sales handoff through successful activation in the product. This includes building out success plans to get customers up to speed in the platform, project management through onboarding, helping customers leverage the most appropriate enablement paths and assessing customer’s adoption on an ongoing basis., • Risk Identification and Mitigation: You’ll work to proactively identify and diagnose risk inhibiting adoption or that may cause churn and contraction. You’ll own building a risk mitigation strategy and coordinating across the account team to effectively steer the customer to success., • Technical Guidance: You’ll maintain a deep level of LaunchDarkly product knowledge and be expected to provide customers with direction on implementation and adoption best practices., • Prescriptively Sell: You maintain a pulse on how our customers are tracking against their key goals and outcomes identifying opportunities for customers to purchase additional products, services and adopt new features needed for them to maximize the value of our solution., • Trusted Advisor: You understand your customers like no other and have built enough trust to act as an extension of their team. You provide prescriptive guidance to customers to help them get the most out of their LaunchDarkly purchase., • Build Champions & Executive Relationships: You are an expert champion builder. You consistently work to identify & support key advocates within your customers’ organization who actively promote the value of LaunchDarkly. In partnership with your Champion, you’re able to leverage success metrics & value driven insights to gain sponsorship at an Executive level., • Renewal and Expansion focused: You are comfortable owning a number and forecasting on a weekly basis. You will work directly with customers, sales and deal desk to execute renewal agreements on time and to identify expansion opportunities within your accounts About You: • Entrepreneurial and Self-Motivated: You are driven and proactive, taking ownership of your role and responsibilities. You operate with a high level of urgency at all times. You thrive in a fast paced, start-up environment., • Passion for Learning and Growth: You are enthusiastic about continuous learning and personal development at LaunchDarkly. You view feedback as a necessity for growth so consistently seek it out and give it., • Intellectual Curiosity: You have a hunger for knowledge and are naturally a question-asker., • Excellent Communication: Your written and spoken communication skills are outstanding., • Organized & Autonomous: You are capable of efficiently managing your workload and have a process for time management. You do not require a lot of external direction to prioritize your work., • Highly Adaptable: You excel in a fast-paced and dynamic organizational setting., • Strong Sales Acumen: You have a high level of sales acumen, strong negotiation skills and are eager to own a number. This is a commercially focused CS organization., • Natural Problem Solver: You have strong critical thinking skills and enjoy the process of solving complex customer problems. You are able to escalate issues when necessary in a clear, effective manner., • Team Player: You collaborate well with others, know when to pull specialists or leaders in and keep others informed proactively. Win as a team! Qualifications: • 5+ years in a customer-facing role, ideally in account management, customer/partner success or onboarding/implementation with a track record of exceeding targets., • Experience owning the renewal process and being held accountable to a retention quota. This is a commercially oriented Customer Success team., • Strong discovery and qualification skills; training in Command of the Message, MEDDIC or another sales methodology is preferred., • Strong project management skills. You should have experience holding customers and cross-functional teams accountable to a timeline., • Experience working on a technical product, ideally interacting with developers or other technical personas as your primary customer. Experience within the DevOps space preferred., • Experience with both proactive and reactive customer success motions., • We will teach you all about LaunchDarkly, but you should have an existing level of technical knowledge and know-how., • Proven ability to advocate for both your customers and your company. You know how to be the voice of the customer in the company while mediating between the customer's requests and the company's vision. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: 171,200 - 235,400 Zone 2: 154,100 - 211,860 Zone 3: 145,500 - 200,090 • 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 - $145,00 - 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 ___. 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 position. We are looking for candidates in the United States time zones. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases team owns and operates the telemetry databases that are___,, and___. Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with ___, ___, and ___. They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure). As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. The Opportunity: The Mimir squad has 3 sub-squads, Ingest, Storage, and Query, which together maintain the ___, and additionally own and operate Grafana Cloud Metrics across 3 major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly. A Mimir engineer has various work streams. They are likely engaged in a larger project with another engineer, and they are also incorporating some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems. What You'll be Doing: • Take an active role in influencing our roadmap and your own career objectives, • Work with your team to deliver new features, then use the results to iterate and improve., • Drive projects from initial idea all the way to operations once it is in the hands of customers, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope, • Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability, • Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running, • Support other team members, participate in design discussions and collaborate with the team, • Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills 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 are a motivated self-starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You have good time management skills, which you leverage to work on the right things at the right time. • Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively, • Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication and time management skills are a must., • Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well, • Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way, • Some experience with developing software that runs in the Cloud or some experience with systems engineering, • Some experience with being on-call and following the DevOps model, • Experience writing clean, robust, and performant software that is easily maintained by others, • Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem. Bonus Points for: • Experience working with Kubernetes, • Experience working with queue systems, e.g. the Kafka protocol, • Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects), • Exposure to microservices architecture and distributed systems, or a desire to learn, • Familiarity with the concept of infrastructure as code 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 ___. *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. *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 Ramp, we’re rethinking how modern finance teams function in the age of AI. We believe AI isn’t just the next big wave. It’s the new foundation for how business gets done. We’re investing in that future — and in the people bold enough to build it. Ramp is a financial operations platform designed to save companies time and money. Our all-in-one solution combines payments, corporate cards, vendor management, procurement, travel booking, and automated bookkeeping with built-in intelligence to maximize the impact of every dollar and hour spent. More than 45,000 businesses, from family-owned farms to e-commerce giants to space startups, have saved $10B and 27.5M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over $100 billion in purchases each year. Ramp’s investors include Thrive Capital, Sands Capital, General Catalyst, Founders Fund, Khosla Ventures, Sequoia Capital, Greylock, and Redpoint, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp has been named to Fast Company’s ___ list and LinkedIn’s ___ for more than 3 years, as well as the Forbes ___, CNBC ___, and TIME Magazine’s 100 ___. Growth engineering builds the applications that power nearly every growth channel at Ramp. As an engineer here, you’ll own applications at the frontier of sales technology - bridging the gap between raw information and tailored, actionable insights. You’ll partner with product, data, and design, and work directly with stakeholders across growth, sales, marketing, and finance to accelerate Ramp’s growth. This role offers the opportunity to shape Ramp’s growth engine with high ownership and direct impact. Check out our ___ to learn more about our tech stack, mission, and values! * Build software to grow Ramp to its next millions of users * Scale our sales and marketing functions through custom applications, automation, and AI assistance * Drive business outcomes through experiments and metric-driven software development * Work in a dynamic engineering team with partners in product, data, and design * Make important prioritization and scoping decisions that determine when we build custom solutions v.s. procure third-party products * Minimum of 3 years of experience in a software development role * Experience shipping fast, reliable applications using modern development tools and infrastructure * Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions * Ability to improvise and develop creative solutions when common approaches fail. Strong value of pragmatism over idealism in times of uncertainty * Perpetual curiosity and passion for honing your craft * Start up experience as a technical co/founder or early engineer * Experience with the modern data stack - including ETL tools like Fivetran, workflow orchestrators like Airflow, and data platforms like Snowflake * Experience with applying AI/LLMs in production use cases * Strong perspective on engineering development cycle (system design, documentation + testing, best practices for codebase development) * Understanding of the tools that power marketing/sales automation, personalization, and analytics * 100% medical, dental & vision insurance coverage for you * Partially covered for your dependents * One Medical annual membership * 401k (including employer match on contributions made while employed by Ramp) * Flexible PTO * Fertility HRA (up to $5,000 per year) * WFH stipend to support your home office needs * Wellness stipend * Parental Leave * Relocation support to NYC or SF (as needed) * Pet insurance If you are being referred for the role, please contact that person to apply on your behalf. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About the Job: LaunchDarkly is specifically looking for product oriented, customer focused, sales-oriented individuals to play a significant role in the expansion of our Mid Market Account Executive team. This role will work directly with a manager, sales engineers, and other resources to help customers successfully test, purchase, and adopt LaunchDarkly. Intelligent, creative, and fun individuals with a strong work ethic are who we want to build this team with. Responsibilities: * Qualify and convert inbounds leads at a rapid pace * Successfully prospect into ICP target accounts * Articulate and sell the value of LD”s platform subscriptions * Prepare for and run discovery sessions with new prospects to articulate LaunchDarkly’s core use cases and the value of the usage based pricing model * Gain an understanding of third party architectures (AWS, Azure, GCP) to accurately position and price our usage based model * Customize and deliver demos with the Solutions Engineering team * Run a proof of concept for prospects * Own, build and develop the relationship with existing customers, demonstrating product usage and capabilities and developing new opportunities * Develop new opportunities from our existing customers * Consistently hit revenue targets * Educate, evangelize, and guide our customers through a successful adoption of LaunchDarkly * Deliver customer feedback for our product and engineering teams * Maintain up-to-date knowledge of our product and processes * Keep all data in tools up to date; SFDC, Aviso, Outreach * Accurately forecast sales targets on a weekly, monthly, quarterly basis Qualifications: * Have a proven track record of hitting or exceeding quota * Be an exceptional written and spoken communicator * Be highly organized & autonomous * Be comfortable and energized operating in a fast moving organization * Entrepreneurial and self-motivated * Enthusiastic about learning and growing at LaunchDarkly * Intellectually curious and ambitious * Knowledge or experience in the developer tool space a plus * Experience selling to mid-market companies a plus Pay: Target pay ranges based on Geographic Zones* for Level P3: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $133,000 - $182,000**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $119,000 - $164,000**, • Zone 3: All other US locations - $113,000 - $155,000** 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: As a Backend Engineer on LaunchDarkly’s AI Configs team, you'll build critical systems such as the web application that customers interact with on a daily basis and distributed systems that power AI evaluations at scale. These systems enable customers to control, monitor, and optimize their GenAI functionality. You’ll primarily work in Go and Python, and will work directly with other technologies and tools such as AWS, CockroachDB, and Datadog. LaunchDarkly’s AI Configs team is on a mission to manage the complete software development lifecycle for GenAI features, from configuring to benchmarking to observing and beyond. This team has a huge opportunity ahead of it; we're growing fast and we need your help writing the next chapter in our story. Responsibilities: * Build and maintain scalable backend services and APIs that power the AI Configs product * Collaborate with internal stakeholders, including product managers, designers, and other LaunchDarkly engineering teams, to understand real-world challenges and improve GenAI workflows using our own platform. * Continuously optimize the performance, reliability, and scalability of backend systems * Participate in architecture and design discussions, offering thoughtful input and collaborating with senior engineers to identify tradeoffs and make well-informed decisions * Keep up-to-date with the latest developments in the AI field and in software development best practices * Take ownership of code in production, participate in on-call rotations, and help improve the reliability and maintainability of our systems over time. Qualifications: * 2 years of experience with server-side programming languages (e.g. in Java / Scala, Ruby, Python, Golang) * Hands-on experience building GenAI features or working with Large Language Models (LLMs), either through direct model integration or leveraging AI APIs like OpenAI, Google Cloud AI, or AWS Bedrock. * Understanding of prompt engineering, fine-tuning models, or deploying AI services in production environments. * Experience with designing, implementing, and maintaining RESTful APIs * Experience writing production-ready code with emphasis on quality and maintainability * Experience with distributed systems or data ingestion * Strong computer science fundamentals * Committed to working in a communicative, collaborative environment * Comfortable navigating ambiguous challenges in a rapidly evolving domain, and excited about staying at the forefront of AI advancements * Strong sense of ownership and accountability for delivering impactful solutions * Proven ability to work closely with Product and Design teams to define requirements for new features in a fast-paced iterative environment Pay: Target pay ranges based on Geographic Zones* for Level 2: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $136,500 - $187,660**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $122,800 - $168,850**, • Zone 3: All other US locations - $116,000 - $159,500** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages, • Delivering targeted experiences by easily personalizing features to customer cohorts, • Maximizing the business impact of every feature through the ability to experiment and optimize, • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types, • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at ___. Do you need a disability accommodation? Fill out this ___ and someone from our People Operations team will contact you for assistance.

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.

Mission Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster. What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth. Overview We're looking to hire for our Data Acquisition side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Senior Software Engineer to join us. What You’ll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • Strong communication skills, both written and verbal. What we offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. What We Offer • A dynamic environment where your contributions shape the company and its products., • A team that values innovation, intuition, and drive., • Autonomy, fostering focus and creativity., • The opportunity to have a significant impact in a revolutionary industry., • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture., • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more., • An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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