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Job Description Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product. Who are we looking for? You'll be the voice and face of Merge for the AI developer community, lighting up the builders who want to ship real products with agents, LLMs, and integrations. This role is about driving awareness, activation, and long-term love for Merge: helping developers get onboarded quickly, build confidently, and keep coming back as their use cases scale. This is a hands-on, execution-focused role at the intersection of community, content, and real technical work. You'll write docs, build sample apps, create tutorials and demos, and show the world what's possible with Merge through videos, talks, and developer-first storytelling. You'll have a senior advisor to partner with, but success comes from being curious, self-directed, and comfortable thriving in ambiguity. What will you be doing? Content and documentation • Write quick start guides, tutorials, and how-to content for Agent Handler and Unified, • Build small sample applications that demonstrate real integration patterns developers can copy and adapt, • Create short-form video content including demos, product walkthroughs, and quick tutorials for YouTube and social distribution on X., • Identify gaps in existing docs by testing the developer journey yourself and logging what breaks, • Monitor developer forums and community channels for common friction points and surface them internally, • Own and execute community channel strategy across Discord, developer forums, and social platforms, including growing presence and defining engagement playbooks., • Help amplify Merge content across relevant developer communities and events without being spammy about it, • Test real-world use cases against the product and document what works and what does not, • Channel developer feedback from docs, community, and content back to the product team, • Create eye catching videos for X that entice developers to learn more Must have • Bachelor's degree in Computer Science or a related field and 3 years of experience in the job offered or in a Developer Relations Engineer-related occupation. Alternatively, will accept a Master's degree in Marketing, Business Administration, Computer Science or a related field, and 1 year of experience in the job offered or in a Developer Relations Engineer-related occupation., • Some professional or project experience building with APIs. You should be comfortable reading API docs, making API calls, and debugging authentication issues without much help., • Exposure to AI agent frameworks, LLMs, or tool-calling patterns. You do not need to be an expert, but knowing what an agent is helps, • The ability to write clearly about technical topics without being dry. You do not need to be a poet, but you should be able to explain a concept to a developer who has never seen it before., • Genuine interest in the developer experience. You notice when something is confusing and you want to fix it., • Comfort working asynchronously in a fast-moving environment where things change frequently, • Experience with content formats like video walkthroughs, demos, or screencasts, • The cash compensation range for this role is $160,000 - $185,000, • Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications. In addition to cash compensation, all employees receive an equity compensation packageBenefits, • Unlimited PTO + 10 company holidays, • 100% covered health, vision, and dental insurance, • 401K Plan, • $200 one-time home office stipend

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, Studio, Forge, Vibe and Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on . Role Summary As our first Partner Marketing Lead, you will define and execute the global partner marketing strategy for a company at the forefront of the enterprise AI ecosystem. You will own how we position, activate, and scale partnerships across ISVs, SIs, and cloud alliances. Your mission is to establish and scale a world-class partner marketing engine, bridging infrastructure partners, ISVs, and open AI communities to drive joint GTM success and measurable revenue impact. This is a unique opportunity to join a high-growth company at the forefront of AI innovation, where your work will directly impact our market position and revenue growth. You’ll collaborate with world-class AI science, product, engineering, and go-to-market (GTM) teams, gaining a front-row seat to the rapidly evolving AI landscape. What you will do • Lead Global Partner Marketing Strategy: Develop and execute a unified partner marketing strategy across ISVs, SIs, and cloud alliances, grounded in clear segmentation and value propositions., • Build and Execute GTM Programs: Design and launch tiered co-marketing programs that drive measurable pipeline and influence for priority partners., • Develop Scalable Frameworks: Create and operationalize a global partner marketing framework, including shared messaging, assets, campaign playbooks, and performance tracking., • Drive Joint Customer Storytelling: Spearhead joint customer case studies and narratives showcasing technology integration and customer value., • Collaborate Cross-Functionally: Strengthen collaboration with Partner, Sales, Business Development, and Product GTM teams to align partner initiatives with growth priorities., • You have 10+ years of marketing experience, with 5+ years focused on partner, alliance, or ecosystem leadership in enterprise or AI technology., • Deep understanding of the modern AI stack. Familiarity with ecosystem dynamics across hyperscalers, model providers, and open-source platforms., • Proven track record in leading global partner or ecosystem marketing in high-growth enterprise or AI-native environments. Skilled in cross-functional orchestration and C-level communication., • Strong GTM and partner marketing strategy skills, with a data-driven approach to pipeline influence, campaign ROI, and partner engagement metrics., • Thrive in a fast-paced, high-growth environment and are comfortable with ambiguity and changing priorities., • Excellent cross-functional leadership and communication skills, adept at aligning Product, Business Development, and Marketing teams.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the role The next generation of behavioral health will be built on agentic AI — systems that don't just predict or summarize, but act: scheduling, coordinating care, drafting clinical documentation, surfacing risk, and orchestrating the hundreds of micro-decisions that today consume clinician and operator time. Charlie Health's ambition is to build the most advanced agentic systems in healthcare. We are investing in a multi-agent architecture grounded in a real-time clinical signal graph, governed by HIPAA-native infrastructure, and deployed against measurable patient outcomes in a national virtual IOP. We are hiring a Senior Principal AI Engineer to lead the design, development, and deployment of these systems across our platform. This is a hands-on technical leadership role with deep cross-functional reach into Engineering, Product, Data, Clinical, and executive leadership. Responsibilities • Serve as the technical owner of agentic AI at Charlie Health, from architecture and model strategy through production deployment and ongoing reliability., • Lead the development of clinical operations agents that handle scheduling, intake, insurance verification, referral triage, and care coordination, replacing brittle human handoffs with auditable, supervised AI workflows., • Lead the development of clinician copilots for real-time documentation, risk surfacing, and treatment-plan support, integrated with our EHR and clinical data platform., • Define and build the agentic substrate: eval frameworks, observability, guardrails, tool registries, prompt and policy versioning, PHI-safe logging, and simulation environments., • Own the model strategy across frontier models, fine-tunes, distilled specialists, and classic ML, and articulate it clearly to executive and clinical leadership., • Partner with Product, Clinical, and Data teams to identify high-leverage opportunities for AI across patient and operational experiences., • Establish best practices around AI reliability, safety, evaluation, and explainability in a regulated clinical environment., • Mentor engineers and data scientists across the organization and help foster a strong culture of technical excellence and responsible AI innovation.What you'll work with, • An executive team that has committed to an AI-native operating model and is funding it., • An AI Guild of senior engineers, data scientists, and clinical operators piloting AI across the company today., • A modern data foundation including Snowflake, dbt, pgvector, and an emerging Intelligence Layer that exposes patient and operational signals as first-class events., • Live workstreams in clinical documentation, referral-source conversion modeling, scheduling intelligence, and clinician productivity. We are looking for an engineer who finds those constraints clarifying rather than limiting. Requirements • 10+ years of software engineering experience, with several recent years focused on LLM- or ML-powered systems in production., • Hands-on experience designing and operating agentic systems, including tool use, planning, multi-agent orchestration, eval design, and failure-mode analysis., • Track record of owning a complex technical initiative end-to-end, including evaluation infrastructure, observability, on-call, and regulatory or compliance review., • Strong communication skills and comfort operating across registers, from executive strategy conversations to engineering code review., • Genuine interest in healthcare and in applying AI responsibly in a regulated, high-stakes domain., • BS, MS, or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related technical field, or equivalent practical experience. Additional Information The total target base compensation for this role will be between $350,000 and $600,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product. Who are we looking for? We are hiring backend and full stack engineers at the senior level on the Experience Engineering team. The team is a full stack, product engineering team with a mission to make Merge's powerful product feel seamless and intuitive to use. This team owns all customer-facing surfaces with the goal to deliver a reliable, developer-friendly, and cohesive experience across all of them. We are hiring for mid - to staff - level positions, with candidate evaluation based on a combination of relevant experience and performance in the interview process.What you will do: • Participate in roadmapping and architecture discussions, • Produce high-quality, production-ready, readable, maintainable code, • Lead large projects from initial inception to production, • Unblock and support your team of peers including engineers, designers, product managers, and business operators, • Interact with customers to solve customer problems, • Build a best in class developer experience for Merge's dashboard, docs, APIs and SDKsThe ideal candidate will have:, • 5-8+ years of full-time software engineering experience (*open to multiple levels of seniority), • Experience with frameworks (Django, Rails, Spring, React, Vue.js, Angular, etc.), • Extensive knowledge of SQL databases (Postgres preferred), • An ability to perform in a fast paced environment and deal with ambiguity, • Startup or SaaS experience preferred, • Experience with design systems, modern styling, and frontend testing practices a plusCompensation, • The cash compensation range for this role is $170,000 - $220,000 Linkedin's Top Startups 2025 Forbes Next Billion Dollar Startups 2023 G2 Fastest Growing Products 2024 Benefits • Unlimited PTO + 10 company holidays, • Pre-Tax commuter benefits, • 100% covered health, vision, and dental insurance, • 401K Plan, • $200 one-time home office stipend, • In office snacks and free dinner when working past 7pm

Job DescriptionStaff Frontend Engineer Location: New York On-site | Full-time Compensation: Competitive Our client is a high-performance technology development firm responsible for building and operating the foundational infrastructure behind the world’s most active digital asset launchpads. The systems managed by this organization are characterized by low latency, high throughput, and constant high-concurrency load. This is a mission-critical environment where technical precision is paramount; the frontend systems must remain resilient and performant under the weight of hundreds of thousands of active users. The organization is seeking a Staff Frontend Engineer to own the design and evolution of large-scale frontend architecture. This is a hands-on, high-impact role focused on building fast, reliable, and maintainable user-facing systems. The successful candidate will join an elite team of builders where the pace is intense, expectations are high, and the impact of every deployment is immediate. Key Responsibilities • System Architecture: Architect and evolve large-scale frontend systems using React and Next.js, ensuring they remain performant and scalable for a massive global user base., • Performance & Reliability: Take full ownership of performance, reliability, and correctness across critical user flows, including rendering optimization, complex state management, and efficient data fetching., • Pattern Design: Design frontend abstractions and architectural patterns that scale effectively with increasing product complexity., • Boundary Definition: Collaborate closely with backend and Solana engineers to define clean, efficient client–server boundaries and data synchronization strategies., • End-to-End Leadership: Lead complex frontend initiatives from initial technical design through implementation, rollout, and post-deployment iteration., • Quality & Standards: Set and maintain a high bar for code quality, comprehensive testing, and operational readiness across the entire frontend codebase., • Mentorship: Mentor and unblock other frontend engineers through rigorous design reviews, pairing, and hands-on technical guidance. Interview Process • Recruiter / HR Call: Initial screening regarding professional background and cultural alignment., • Technical Interview: A deep-dive assessment into frontend architecture, React internals, and performance optimization strategies., • Experience: Staff-level frontend engineering expertise with a deep track record of building production React applications at significant scale., • Proven Scale: Demonstrated experience owning frontend systems used by large, real-world user bases, navigating the challenges of high-traffic consumer products., • Technical Depth: A profound understanding of browser internals, rendering pipelines, performance optimization, and the modern frontend tooling ecosystem., • Tooling Mastery: Advanced proficiency with React, Next.js, and TypeScript, with the ability to work "close to the metal" when performance demands it., • Systemic Thinking: Comfortable designing systems that balance developer velocity with long-term maintainability and high-performance requirements., • Agency & Ownership: A high-agency professional capable of driving large-scale initiatives with minimal guidance and a pragmatic approach to real-world constraints., • Unmatched Autonomy: Significant ownership over architectural decisions and the evolution of the frontend stack., • Scale Exposure: Direct involvement with systems operating at the absolute frontier of crypto and social networking scale., • Immediate Impact: The ability to ship features rapidly and see real-world results from your work within hours., • Elite Peer Group: Opportunity to collaborate with a mission-driven group of engineers who hold an uncompromising bar for excellence., • Compensation: A competitive package consisting of a Base Salary plus Equity/Tokens. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Materials Science Expert Type: Contract Compensation: $55–$75/hour Location: Remote Role Responsibilities • Build a realistic digital workspace centered on the Drive folders you use day-to-day. Include experimental write-ups, characterization reports, simulation results, technology transfer memos, IP disclosures, project proposals, and email threads. Represent platforms like VASP, Materials Studio (Biovia), LabVantage LIMS, and ANSYS Fluent., • Design multi-step tasks grounded in your real workflows. Require navigating multiple apps, files, and stakeholders to challenge frontier AI agents meaningfully., • Collaborate with other materials-science experts to design the environment, shape task scope, and review scenarios for realism and rigor., • Work asynchronously with research teams to refine task designs and evaluation criteria for materials-science agent benchmarks. Must-Have • MS / PhD in materials science, chemistry, physics, or related discipline., • 3+ years of full-time experience at a Fortune 500 R&D organization, national lab, or R1 university materials research group., • Background in metals, polymers, ceramics, composites, or semiconductor materials., • Experience in characterization (XRD, SEM/TEM, spectroscopy, thermal analysis)., • Computational materials science / DFT / MD., • Process development and scale-up., • Reliability / failure analysis in advanced materials., • Day-to-day use of VASP, Materials Studio (Biovia), LabVantage / LabWare LIMS, and ANSYS Fluent / STAR-CCM+., • Upload resume, • AI interview based on your resume

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — STEM Research Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research teams to close knowledge gaps in STEM domains by surfacing edge cases, ambiguities, and frontier problems where current models underperform., • Design challenging, rigorous domain tasks and write accurate, well-reasoned solutions that demonstrate expert-level scientific and technical reasoning., • Evaluate tasks and solutions produced by AI agents and other contributors, providing clear written technical feedback grounded in domain expertise., • Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM domains. Must-Have • PhD (completed, enrolled, or equivalent research track) in Physics, Chemistry, Biology, Mathematics, Statistics, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Materials Science, or another STEM discipline., • 3+ years of research, academic, or industry experience in their primary STEM domain., • Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods, data analysis, statistical inference, programming, or equivalent scientific methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Upload resume, • AI interview based on your resume

Job Description The Problem Severe mental illness affects over 15 million adults in the United States. Schizophrenia. Schizoaffective disorder. Bipolar I. Treatment-resistant depression. These are the conditions the rest of healthcare has systematically failed to build for. What makes this problem different from most of healthcare is that the tools to solve it do not exist. The clinical protocols, the measurement science, the precision medicine, the technology to deliver coordinated longitudinal outpatient care for this population. None of it has been built. This is a frontier problem, and it requires frontier science and care delivery to solve. We are developing all of it. The care, the science, the technology. Who We Are Amae Health is a Series B, venture-backed Public Benefit Corporation delivering specialty outpatient care for people with severe mental illness through high-acuity, in-person clinics nationwide. Our integrated model brings psychiatry, therapy, primary care, dietitians, and community support together under one roof. Leading health systems—including New York-Presbyterian, Cedars-Sinai, Mass General Brigham, Novant Health, and CommonSpirit—collaborate with us to expand this level of care. Alongside care delivery, we are building the science and technology the field has long lacked—proprietary clinical protocols, novel measurement, and an AI-driven data platform designed for severe mental illness. The impact: fewer hospitalizations, greater stability, and more people living meaningful lives in their communities. The Team We are clinicians, operators, technologists, and scientists who chose Amae because the problem is hard and the stakes are real. We are not interested in incremental improvements to a broken system Our teams work cross-functionally because the work demands it. The psychiatrist informs the product roadmap. Engineers understand the clinical complexity their technology must solve. Researchers sit alongside the operators running the clinics their work measures. Every function—finance, product, people, growth, technology—exists to serve one goal: better outcomes for the people we care for. The Role We're hiring our first dedicated marketing hire — someone who can build and own the full marketing stack for Amae. You'll work directly with our co-founders to shape Amae's brand voice and positioning, and own end-to-end execution across every channel. This is a creative, builder role. You're the right person for this if you're an AI-native operator who uses tools to multiply your output, have a genuine point of view on brand, and thrive in environments where the playbook doesn't exist yet. This is a full-time onsite role based in either our San Francisco office in Cow Hollow or our NYC Union Square office. What You'll Work On • Demand generation and referral growth: Channel strategy across SEO/GEO/SEM, email, social, and events — with a focus on driving referrals from health system partners and clinicians, • Content and thought leadership: Build and execute a content engine that positions Amae as the authority on serious mental illness care — blog, LinkedIn, newsletters, and more, • Brand voice and positioning: Collaborate with co-founders and our PR firm to evolve Amae's brand identity, messaging architecture, and tone of voice as we scale, • Patient and family marketing: Develop campaigns and materials that speak to patients and families with clarity, empathy, and honesty, • B2B marketing: Develop campaigns and materials that speak to our health plan and health system partners and potential referring providers., • Event marketing: Supporting the design of our presence at clinical conferences, health system events, and community touchpoints, • 4–6 years of marketing experience, with at least 1+ years as a solo or first marketing hire at a startup (sub-200 people), • Genuinely AI-native — you've built real workflows using tools like Jasper, Perplexity, Clay, Surfer, or equivalents to multiply your output, not just experiment with them, • Demonstrated experience shaping and evolving brand voice — including leading or contributing to rebrands, developing tone-of-voice guidelines, and adapting positioning as a company grows and changes, • Own content and SEO/GEO, with execution supported by a vendor, • Comfortable marketing to both a B2B audience (clinicians, health systems) and a B2C or B2B2C audience simultaneously, • Bias toward measurement — you know what's working and why, • Background in healthcare, digital health, or a mission-driven consumer brand, • Experience ghostwriting or producing founder-voice content Most healthcare companies ask you to optimize an existing system. We're building one that has never existed. • A national care model designed for the highest-acuity patients in behavioral health., • Precision medicine for severe mental illness, using multimodal clinical, behavioral, and social data to personalize treatment., • A clinical operating system that integrates longitudinal data, real-time patient signals, and purpose-built tools into a single decision layer., • New science and measurement frameworks to define what real outcomes look like in SMI—stability, functional improvement, and hospitalizations avoided. Compensation & Benefits Compensation includes a base salary of $120,000 - $160,000 (based on level & experience) plus equity ownership, giving you a meaningful stake in Amae's growth. Total compensation includes comprehensive medical/dental/vision, unlimited PTO, parental leave, and programs built around employee well-being. We'll share specifics during the interview process. Amae Health is building the care platform, the precision medicine, and the frontier science that severe mental illness has never had. If you want to be part of creating something this hard and this important, something that has never been done, we'd like to talk. What We Value We center care in all we do. Empathy is not a brand value. It's how we make clinical decisions, build products, and treat each other. We challenge convention. The existing system is the problem. We question it, we test alternatives, and we move with urgency when something works. We take the work seriously, not ourselves. High standards and humanity are not in tension. We hold a hard bar for quality while leaving room for humor and levity. Your job isn't done until the job is done. We close gaps, we follow through, and we don't hide behind titles or org charts. We win together and fail together. We own outcomes as a team. We learn fast. We don't do blame. We hustle with humility. Speed matters. So does integrity. We assume best intent and stay grounded in the mission.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Pharmaceutical Research Expert Type: Contract Compensation: $60–$80/hour Location: Remote Role Responsibilities • Build a realistic digital workspace centered on the Drive folders you use daily. Include study protocols, investigator brochures, IND/NDA drafts, pharmacology reports, biomarker analyses, CMC technical reports, DMC briefing documents, and email threads. Represent platforms like Medidata Rave, Oracle Clinical One, Schrödinger Suite, Benchling, and LabArchives., • Design multi-step tasks grounded in real workflows. Require navigation of multiple apps, files, and stakeholders to meaningfully challenge frontier AI agents., • Collaborate with other pharmaceutical-research experts to design the environment, shape task scope, and review scenarios for realism and rigor., • Work asynchronously with research teams to refine task designs and evaluation criteria for pharma-research agent benchmarks. Must-Have • PhD, MD, PharmD, or MS with deep experience; industry fellowship training a plus., • 3+ years of full-time experience at a Fortune 500 pharma/biotech or top academic research center., • Background in target ID/drug discovery, preclinical/translational research, clinical development, regulatory affairs, or CMC., • Day-to-day use of Medidata Rave, Oracle Clinical One, Schrödinger Suite, MOE (CCG), Benchling, and LabArchives., • Upload resume, • AI interview based on your resume

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life, democratizing AI through high-performance, open-source models, products, and solutions. Our comprehensive AI platform meets enterprise needs, whether on-premises or in the cloud, and includes tools like Le Chat, La Plateforme, and Mistral Compute. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed across France, the USA, the UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. Learn more about our culture here. You built something from nothing. Do it again, within the best frontier AI company in Europe. This is not a job description. It’s an open invitation for people who have founded, co-founded, or led a company and want to deploy Europe’s most advanced AI models inside the enterprises that need them most. We’re not asking for a perfect resume. We’re asking whether you’ve built something real, with real users, real problems, and real constraints. What you will do You join Mistral’s Solutions team. Your mission: take our models and make them indispensable for our enterprise clients. In practice: The personal data you submit as part of your application will be processed in accordance with Mistral AI's Applicant Privacy Policy.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Medical Devices Expert Type: Contract Compensation: $55–$75/hour Location: Remote Role Responsibilities • Build a realistic digital workspace centered on the Drive folders you use daily. Include design history files, regulatory submissions, DHF/DMR documents, risk-analysis matrices, validation protocols, CAPA records, and email threads., • Design multi-step tasks grounded in real workflows. Navigate multiple apps, files, and stakeholders to challenge frontier AI agents., • Collaborate with other medical-device experts to design the environment, shape task scope, and review scenarios for realism and rigor., • Work asynchronously with research teams to refine task designs and evaluation criteria for medical-device agent benchmarks. Must-Have • 3+ years of full-time experience at a Fortune 500 medical-device manufacturer or large Tier-1 contract developer/manufacturer., • Background in regulatory affairs, quality engineering, R&D, manufacturing engineering, or clinical affairs., • Day-to-day use of ANSYS Fluent, Siemens Opcenter, or DocuSign., • Upload resume, • AI interview based on your resume

Job DescriptionReinforcement Learning (RL) Engineer Location: New York (Office) On-site | Full-time Compensation: Competitive Our client is an elite development firm and a high-growth software company responsible for building the infrastructure behind the world’s largest crypto social networks and digital asset launchpads. Operating at the frontier of decentralized finance, the organization is composed of a mission-driven group of builders who prioritize speed, technical excellence, and talent density. The organization is seeking a Reinforcement Learning (RL) Engineer to take end-to-end ownership of an RL-driven trading agent. This individual will manage real capital to increase trading volume and user participation within a high-velocity memecoin ecosystem. This is a high-stakes role designed for a "single-owner" expert who can bridge the gap between sophisticated modeling and live financial production. The successful candidate will transition existing heuristic-based systems toward learning-based approaches while enforcing rigorous risk parameters in a 24/7 global market. Key Responsibilities • Autonomous Agent Development: Own the design, shipment, and iteration of an RL-driven trading agent that utilizes real capital to drive ecosystem engagement., • Objective Function Design: Design reward functions and policies that align strictly with product goals while implementing and enforcing absolute downside risk constraints., • Validation Frameworks: Build robust evaluation and validation frameworks, including simulation and offline analysis, to minimize reliance on live sequential testing., • System Transition: Manage the safe transition of existing heuristic-based production systems toward advanced learning-based approaches., • Technical Leadership: Serve as the sole RL expert within a small, high-caliber team, maintaining responsibility for the entire lifecycle—from data modeling and deployment to monitoring and safety safeguards. Interview Process • Recruiter / HR Call: Initial screening to discuss professional background, risk management philosophy, and cultural alignment., • Technical Interview: A deep-dive assessment into RL architecture, simulation frameworks, and live production experience., • Production Experience: Proven track record of deploying autonomous learning systems into production environments that directly controlled capital, pricing, traffic, or resources. Candidates must be able to demonstrate a deep understanding of system failures and subsequent remediation., • Risk Management: Hands-on experience designing and enforcing hard risk limits, such as capital caps, loss bounds, and circuit breakers, within a live financial or resource-based system., • Evaluation Loop Mastery: Experience building policy evaluation loops from scratch, including simulators, replay, counterfactuals, and shadow deployments, prior to live rollout., • Empirical Judgment: Ability to make and defend pragmatic technical tradeoffs (e.g., opting for heuristics over RL or bandits over deep RL) based on empirical results rather than theoretical preference., • Operational Independence: Demonstrated experience as the primary owner of a complex ML system within a lean environment, operating without the support of dedicated research organizations or external ML platforms., • High-Stakes Autonomy: Unmatched ownership over an RL agent managing real-world capital and massive user traffic., • Scale Exposure: Direct involvement with systems operating at the absolute edge of crypto and financial technology scale., • Elite Talent Density: Opportunity to collaborate with a mission-driven group of engineers who value first-principles thinking., • Immediate Impact: The ability to ship fast and see real-world results and market reactions instantly., • Compensation: A competitive package including Base Salary plus Equity/Tokens. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job DescriptionCareer Renew is recruiting for one of its clients an Applied AI Engineer - this is a hybrid position in New York. Salary range: 200-250K USD plus benefits plus equity.We are building the AI platform for hedge funds and asset managers. We deploy software and custom workflows that make funds AI-native — connecting their data, encoding their expertise into agents and skills, and automating their highest-value workflows. The firms that are winning with AI aren't using better models. They have a more thoughtful ecosystem around them, and that's what we build. Unlike most AI startups, we're cash-flow positive and client-funded — our growth comes from the trust of our clients, the value we deliver, and the exceptional caliber of our team. Our team combines engineers from top institutions across finance (Citadel, Goldman Sachs, Millennium, D.E. Shaw, Two Sigma, and Bridgewater) and technology (leading data and AI startups) with forward-deployed specialists who embed directly with clients to automate real workflows. We sit at the intersection of deep finance domain knowledge and cutting-edge AI engineering — closing the gap between what AI can do and what funds are getting out of it. Role Overview We’re looking for software engineers to chart the course of how AI is reshaping institutional finance. You’ll build AI Infrastructure (observability, agent orchestration, expert skills, tools as CLI’s and MCP, data orchestration, and UI component libraries) that are leveraged by some of the world’s most sophisticated hedge funds as part of their AI implementations, working directly with their investment teams to turn complex workflows into elegant, production-grade applications. This role sits at the intersection of AI implementation and financial software. You won’t just use AI tools – you’ll build AI-powered features directly into client platforms: LLM-driven research intelligence, agentic workflows, MCP-connected data sources, and automation layers that compress weeks of analyst work into seconds. The ideal candidate is a strong full-stack engineer who is fluent in modern AI tooling and deeply curious about how hedge funds and asset managers think, invest, and operate. Speed is a core part of the job. Our model is to deliver fully customized platforms in weeks, not months, which means you need to ship with conviction, iterate based on real user feedback, and know when to build from scratch versus leverage proven infrastructure. Key Responsibilities * AI-Powered Feature Development: Build LLM-powered features directly into client-facing platforms, including research intelligence tools, natural language query layers, automated summarization, and agentic workflows that fundamentally change how investment teams work * Agentic Tooling & MCP Integration: Design and implement MCP-connected data sources, agentic pipelines, and AI orchestration layers using frameworks like Claude Code, LangGraph, Open Claw, Open Code and similar, extending client platforms with live, intelligent data access * Full-Stack Application Development: Build end-to-end applications tailored to each client’s unique portfolio analytics, risk management, and research workflows—from backend APIs to responsive frontends * Backend Services: Design and maintain high-performance APIs using Python (FastAPI or similar) that power client-specific data access, analytics, and AI inference * Frontend Development: Build intuitive, responsive user interfaces in React that enable investment teams to interact with complex financial data clearly and efficiently * Data Pipeline Development: Build and maintain ETL pipelines that handle critical financial market data—positions, securities, risk metrics, and research signals—with reliability and performance * Financial Analytics: Implement analytics layers for performance and risk calculations using timeseries and linear algebra operations (Pandas, Polars) * Ship Fast, Iterate Often: Deliver working software in compressed timelines, gather direct feedback from hedge fund users, and continuously improve, treating speed and quality as complementary, not competing * Kubernetes Deployments: Be able to work fluidly with Kubernetes within each client environment to be able to ship fast and reliable. Requirements: 3 - 8 years of experience as a full-stack SWE or applied AI engineer (institutional investor or fintech) (Mandatory)Demonstrated record using Agentic AI tooling effectively (e.g., Claude Code, Codex, MCP servers) and experience building user-facing products from 0-to-1 (Mandatory)Relevant institutional investor and/or fintech experience (e.g., Two Signma, DE Shaw, Citadel, P72, Addepar) or other data-first and quantitative fields (e.g., health/bio tech) (Mandatory)AI implementation experience inc. hands on building with LLM APIs, MCP servers, agentic frameworks (Claude Code, OpenClaw, LangChain), prompt engineering etc (Nice-to-have)Strong technical fundamentals including expertise in Python (non-negotiable; API experience using FastAPI, Flask, or Django etc highly preferred) (Mandatory)Effective in unstructured environments and can solve loosely defined problems (Mandatory)Genuine conviction that AI is transforming software (active use of AI tools) and deep interest in finance (how institutional investors think, make decisions, and use tech) (Mandatory)Why you should join us * Bootstrapped, Post-PMF, and Built to Last – We've reached $10M+ ARR with a lean team and no external funding – a strong signal of genuine product-market fit built on real revenue, not VC runway. There are no externally imposed milestones or investor pressure dictating the roadmap. For candidates who want to join at the most exciting inflection point – where the product has proven itself but the scaling is still ahead – this is a rare opportunity to have outsized impact and grow alongside the business as it enters its next phase. * R&D Culture Within a Commercial Business – The company operates like a hybrid between a SaaS startup and an R&D team – constantly evaluating new developments in AI and accommodating the roadmap accordingly. Engineers are not just building towards a fixed vision; they are actively contributing to how that vision evolves. The culture values curiosity, craft, and elegant solutions to genuinely hard problems. * Cutting Edge by Necessity – Because our product is built on top of rapidly evolving AI infrastructure, engineers are working at the frontier of what is possible – integrating LLMs, agentic workflows, and MCP-connected intelligence into real client platforms. Work ships into production and directly impacts how some of the world's most sophisticated hedge funds make investment decisions. * Technology as the End, Not the Means – For candidates coming from hedge funds or finance, we offer the quantitative, intellectually stimulating problem-solving they enjoy – without the backseat dynamic relative to portfolio managers and traders. Here, technology is the revenue-generating core of the business, and the mission is to redefine how it powers institutional investing. * Genuine Ownership at Every Level – With a lean team and no layers of bureaucracy, individuals at all levels are trusted to drive decisions and outcomes. There is limited top-down direction, and the scope of responsibility is meaningfully broader than what is typically available at larger or more structured organisations. * Calibre of the Team – The engineering team brings experience from some of the most demanding institutions in finance and technology – Citadel, Goldman Sachs, Millennium, and D.E. Shaw. For candidates who care about the quality of the people they work alongside and who they can learn from, this is a meaningful signal. * 0 to 1, Every Time – This is a 0 to 1 role in the truest sense. Every project involves taking a problem from first principles and turning it into a working product. There is no legacy codebase to maintain, no internal tooling, and no narrow feature lane – the applications being built, from agent health scoring to AI-powered handoff documents to orchestrator systems, are problems that have not been solved before.

Job Description The Problem Severe mental illness affects over 15 million adults in the United States. Schizophrenia. Schizoaffective disorder. Bipolar I. Treatment-resistant depression. These are the conditions the rest of healthcare has systematically failed to build for. What makes this problem different from most of healthcare is that the tools to solve it do not exist. The clinical protocols, the measurement science, the precision medicine, the technology to deliver coordinated longitudinal outpatient care for this population. None of it has been built. This is a frontier problem, and it requires frontier science and care delivery to solve. We are developing all of it. The care, the science, the technology. Who We Are Amae Health is a Series B, venture-backed Public Benefit Corporation that delivers specialty outpatient care for people living with severe mental illness, including schizophrenia, schizoaffective disorder, bipolar I disorder, and treatment-resistant depression. We design and operate high-acuity, in-person clinics across the United States. Our model integrates psychiatry, therapy, primary care, dietitians, and community health workers under one roof to deliver coordinated, longitudinal care for a population that has historically been fragmented across systems. Leading health systems partner with Amae to bring this model to their communities, including NewYork-Presbyterian, Cedars-Sinai, Mass General Brigham, Novant Health, and CommonSpirit Health. Why We Are Different • Integrated care, not a referral network. Psychiatrists, therapists, primary care providers, dietitians, and community health workers work side-by-side and share responsibility for the same patients., • Practice at the top of your license. Manageable caseloads, meaningful clinical depth, and purpose-built tools designed for this population., • Continuous learning. Through our partnership with Mass General Brigham, clinicians receive ongoing training, supervision, and mentorship in evidence-based SMI care., • Advancing the field. Our clinicians contribute to new outcomes frameworks and research shaping the future of severe mental illness care. We are hiring a Psychiatrist (per diem, on-site) to join our Upper East Side, NY clinic as part of an interdisciplinary team committed to providing personalized, compassionate, high-quality SMI care. What You'll Do • Provide behavioral healthcare management to Amae Health patients; monitor and manage care through an array of treatment modalities as patients progress through phases of recovery, • Develop individualized treatment plans during the engagement and stabilization phase, focused on specific psychosocial and medical needs that might limit recovery, • Provide continuous, regular consultations as patients navigate recovery, both in person and occasionally virtually, • Liaise with patient care teams and collaborate with behavioral health providers to ensure an integrated, cohesive approach to care, • Board-Certified or Board-Eligible Psychiatrist, with a NY license and DEA that are active, unrestricted, and in good standing, • In possession of or willing to obtain Clozapine REMS certification and Medicaid enrollment if needed, • Prior experience with mental health and/or addiction issues; familiarity with the medical, mental health, and social service systems in the greater NYC area, • Holistic perspective on health and understanding of patient rights, • Demonstrated ability to work effectively in a wide range of settings with people from diverse backgrounds, • Comfort working one-on-one or in group settings; strong coaching and negotiation skills, • Excellent interpersonal and communication skills and ease adapting in a dynamic environment As a clinician at Amae, you are not adjacent to this work. You are essential to it. • A national care delivery model for the highest-acuity patients in behavioral health., • Precision medicine for SMI. Individualized treatment informed by multimodal clinical, behavioral, and social data., • A clinical operating system that puts longitudinal data, real-time patient signals, and purpose-built tools into a single decision layer for care teams., • Frontier science and measurement: defining and validating the outcomes frameworks that this field has never had. Hospitalizations avoided, days stable, functional improvement, and more. Amae Health is committed to fair and equitable compensation practices. The compensation for this role is $250 per hour depending on schedule and experience. Comprehensive medical, dental, and vision coverage, parental leave and programs built around well-being are offered to W-2 employees who work 24+ hours per week. We'll share specifics during the interview process. If you want to practice at the top of your license, learn from the best in academic medicine, contribute to research that is defining a new field, and do it all inside a team that was actually built for this work, we'd like to talk. What We Value We center care in all we do. Empathy is not a brand value. It's how we make clinical decisions, build products, and treat each other. We challenge convention. The existing system is the problem. We question it, we test alternatives, and we move with urgency when something works. We take the work seriously, not ourselves. High standards and humanity are not in tension. We hold a hard bar for quality while leaving room for humor and levity. Your job isn't done until the job is done. We close gaps, we follow through, and we don't hide behind titles or org charts. We win together and fail together. We own outcomes as a team. We learn fast. We don't do blame. We hustle with humility. Speed matters. So does integrity. We assume best intent and stay grounded in the mission.

Job Description The Problem Severe mental illness affects over 15 million adults in the United States. Schizophrenia. Schizoaffective disorder. Bipolar I. Treatment-resistant depression. These are the conditions the rest of healthcare has systematically failed to build for. What makes this problem different from most of healthcare is that the tools to solve it do not exist. The clinical protocols, the measurement science, the precision medicine, the technology to deliver coordinated longitudinal outpatient care for this population. None of it has been built. This is a frontier problem, and it requires frontier science and care delivery to solve. We are developing all of it. The care, the science, the technology. Who We Are Amae Health is a Series B, venture-backed Public Benefit Corporation that delivers specialty outpatient care for people living with severe mental illness, including schizophrenia, schizoaffective disorder, bipolar I disorder, and treatment-resistant depression. We design and operate high-acuity, in-person clinics across the United States. Our model integrates psychiatry, therapy, primary care, dietitians, and community health workers under one roof to deliver coordinated, longitudinal care for a population that has historically been fragmented across systems. Leading health systems partner with Amae to bring this model to their communities, including NewYork-Presbyterian, Cedars-Sinai, Mass General Brigham, Novant Health, and CommonSpirit Health. Why We Are Different • Integrated care, not a referral network. Psychiatrists, therapists, primary care providers, dietitians, and community health workers work side-by-side and share responsibility for the same patients., • Practice at the top of your license. Manageable caseloads, meaningful clinical depth, and purpose-built tools designed for this population., • Continuous learning. Through our partnership with Mass General Brigham, clinicians receive ongoing training, supervision, and mentorship in evidence-based SMI care., • Advancing the field. Our clinicians contribute to new outcomes frameworks and research shaping the future of severe mental illness care. We are hiring a Psychiatrist (Part-time) to join us onsite in our Upper East Side, NY clinic as part of an interdisciplinary team committed to providing personalized, compassionate, high-quality SMI care. What You'll Do • Provide behavioral healthcare management to Amae Health patients; monitor and manage care through an array of treatment modalities as patients progress through phases of recovery, • Develop individualized treatment plans during the engagement and stabilization phase, focused on specific psychosocial and medical needs that might limit recovery, • Provide continuous, regular consultations as patients navigate recovery, both in person and occasionally virtually, • Liaise with patient care teams and collaborate with behavioral health providers to ensure an integrated, cohesive approach to care, • Board-Certified or Board-Eligible Psychiatrist, with a NY license and DEA that are active, unrestricted, and in good standing, • In possession of or willing to obtain Clozapine REMS certification and Medicaid enrollment if needed, • Prior experience with mental health and/or addiction issues; familiarity with the medical, mental health, and social service systems in the greater NYC area, • Holistic perspective on health and understanding of patient rights, • Demonstrated ability to work effectively in a wide range of settings with people from diverse backgrounds, • Comfort working one-on-one or in group settings; strong coaching and negotiation skills, • Excellent interpersonal and communication skills and ease adapting in a dynamic environment As a clinician at Amae, you are not adjacent to this work. You are essential to it. • A national care delivery model for the highest-acuity patients in behavioral health., • Precision medicine for SMI. Individualized treatment informed by multimodal clinical, behavioral, and social data., • A clinical operating system that puts longitudinal data, real-time patient signals, and purpose-built tools into a single decision layer for care teams., • Frontier science and measurement: defining and validating the outcomes frameworks that this field has never had. Hospitalizations avoided, days stable, functional improvement, and more. Amae Health is committed to fair and equitable compensation practices. The base salary for this part-time role will be prorated from a full-time equivalent range of $300,000–$330,000 per year, adjusted based on market benchmarks. Benefit packages will be available if part-time schedule is 24+ hours/week. We'll share specifics during the interview process. If you want to practice at the top of your license, learn from the best in academic medicine, contribute to research that is defining a new field, and do it all inside a team that was actually built for this work, we'd like to talk. What We Value We center care in all we do. Empathy is not a brand value. It's how we make clinical decisions, build products, and treat each other. We challenge convention. The existing system is the problem. We question it, we test alternatives, and we move with urgency when something works. We take the work seriously, not ourselves. High standards and humanity are not in tension. We hold a hard bar for quality while leaving room for humor and levity. Your job isn't done until the job is done. We close gaps, we follow through, and we don't hide behind titles or org charts. We win together and fail together. We own outcomes as a team. We learn fast. We don't do blame. We hustle with humility. Speed matters. So does integrity. We assume best intent and stay grounded in the mission.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data 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 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., • 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., • 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. 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.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Materials Science Expert Type: Contract Compensation: $55–$75/hour Location: Remote Role Responsibilities • Build a realistic digital workspace centered on the Drive folders you use day-to-day. Include experimental write-ups, characterization reports, simulation results, technology transfer memos, IP disclosures, project proposals, and email threads. Represent platforms like VASP, Materials Studio (Biovia), LabVantage LIMS, and ANSYS Fluent., • Design multi-step tasks grounded in your real workflows. Require navigating multiple apps, files, and stakeholders to challenge frontier AI agents meaningfully., • Collaborate with other materials-science experts to design the environment, shape task scope, and review scenarios for realism and rigor., • Work asynchronously with research teams to refine task designs and evaluation criteria for materials-science agent benchmarks. Must-Have • MS / PhD in materials science, chemistry, physics, or related discipline., • 3+ years of full-time experience at a Fortune 500 R&D organization, national lab, or R1 university materials research group., • Background in metals, polymers, ceramics, composites, or semiconductor materials., • Experience in characterization (XRD, SEM/TEM, spectroscopy, thermal analysis)., • Computational materials science / DFT / MD., • Process development and scale-up., • Reliability / failure analysis in advanced materials., • Day-to-day use of VASP, Materials Studio (Biovia), LabVantage / LabWare LIMS, and ANSYS Fluent / STAR-CCM+., • Upload resume, • AI interview based on your resume #hiringmercor

Job DescriptionAbout Fractional AI How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages? Fractional AI is a startup in the heart of Silicon Valley targeting the biggest greenfield opportunity in the economy: transforming companies with AI software at a scale the market is only beginning to understand. Our clients include Zapier, Airbyte, and companies from industries ranging from data infrastructure to healthcare and life sciences. We were founded by repeat founders Chris Taylor, Eddie Siegel, and Travis May (Founder of Datavant, $7B exit), and are backed by Shaper Capital. Most of our engineers are former founders or staff engineers from top tech companies like Google and Stripe. We're headquartered in SF with offices in NYC, Raleigh-Durham, and Dubai. The Role As an AI Architect at Fractional AI, you are the technical face of our business to prospective clients. You will combine your technical chops and communication skills to advise stakeholders ranging from CTOs to operational business leaders with limited AI exposure. You will work with our Commercial Leader, CTO, and CEO to craft winning solutions and put structure around ambiguous problems. Ultimately, clients will get a preview of what it will be like to work with our world-class applied AI engineering team by engaging with you! What You’ll Do * Run discovery & design workshops with private equity firms and enterprise prospects, surfacing high‑impact gen AI opportunities, building high-level roadmaps, and defining requirements * Architect robust AI solutions, articulate trade‑offs, and make recommendations on tools and technologies * Define the scope of implementation projects including timelines, upfront and ongoing cost projections, and risks * Develop mockups and prototypes so clients can visualize the future state before committing to a full build * Serve as a technical advisor and thought partner to clients, including providing insights on trends and the evolving technology landscape * Produce persuasive artifacts including technical briefs, current‑vs‑future process flow diagrams, and a rock‑solid hand‑off package for our delivery teams * Bring automation to our GTM motion wherever you see opportunity What You Bring * 5+ years combined experience as a Software Engineer, Deployment Strategist, Sales Engineer or Solutions Architect. * Ability to engage as a peer with senior technical leaders and make complex AI concepts accessible to non-expert stakeholders. * You communicate clearly and precisely, both verbally and in writing, making technical concepts accessible to different audiences. * You do your best work in client-facing environments. * Familiarity with gen AI systems, the AI ecosystem, and LLMs is a plus Our Values * Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world’s best applied AI team. * Overuse AI: We go out of our way to experiment with the latest tools and share what we learn with our teammates - building a culture at the frontier. * Over "engineer" the culture: For every big decision, we ask “would this make Fractional a better or worse place for our team?” Location San Francisco, CA New York, NY Work Arrangement: 4 days in-person, Fridays remote Benefits * 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills. * 📈 401k with Matching: Invest in your future with our company-matched retirement plan. * 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. * 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. * 🚑 Health FSA: Manage out-of-pocket health expenses effectively. * 🚌 Commuter Benefits: Make your travel to work easier and more affordable. * 🏥 Life Insurance: Providing peace of mind for you and your loved ones. * 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Ready to join us? Compensation Range: $160K - $220K

Job DescriptionAbout Fractional AI How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages? Fractional AI is a startup in the heart of Silicon Valley targeting the biggest greenfield opportunity in the economy: transforming companies with AI software at a scale the market is only beginning to understand. Our clients include Zapier, Airbyte, and companies from industries ranging from data infrastructure to healthcare and life sciences. We were founded by repeat founders Chris Taylor, Eddie Siegel, and Travis May (Founder of Datavant, $7B exit), and are backed by Shaper Capital. Most of our engineers are former founders or staff engineers from top tech companies like Google and Stripe. We're headquartered in SF with offices in NYC, Raleigh-Durham, and Dubai. The Role Our talent is our product. Customers choose Fractional AI because we bring together elite engineers, product leaders, and commercial operators to build and deploy applied AI systems. We’re building a team that makes Fractional the best place to learn applied AI. As a member of our talent team, you’ll play a critical role in making that real — identifying and closing exceptional talent. Technical hiring is core to the role, but you’ll have the opportunity to work across functions as we grow. What You'll Do * Source exceptional talent: You’ll identify and engage top candidates, with a primary focus on technical hiring. * Own the candidate experience end-to-end: From first touch through close, you’ll build trust, understand motivations, and ensure a high-signal, high-quality process for every candidate. * Build on a high-performing recruiting process: You’ll come alongside a strong existing system and help evolve it — bringing new ideas and using data, AI, and experimentation to refine how we evaluate and close talent. What You Bring * Track record hiring top technical talent: You’ve successfully hired Senior, Staff, and Principal engineers or product leaders in early-stage or high-growth environments. * Strong judgment and empathy: You know what great looks like and build trust quickly with candidates and hiring teams. * Data-driven and experimental mindset: You use data and experimentation to improve how you source, evaluate, and close candidates. * Technical fluency: You understand modern engineering stacks and can credibly assess how candidates map to team needs. * High ownership with a bias for leverage: You operate with precision and follow-through, and look for ways to scale your impact through tooling, automation, and AI. Our Values * Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world’s best applied AI team. * Overuse AI: We go out of our way to experiment with the latest tools and share what we learn with our teammates - building a culture at the frontier. * Over "engineer" the culture: For every big decision, we ask “would this make Fractional a better or worse place for our team?” Location San Francisco, CA New York, NY Work Arrangement: 4 days in-person, Fridays remote Benefits * 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills. * 📈 401k with Matching: Invest in your future with our company-matched retirement plan. * 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. * 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. * 🚑 Health FSA: Manage out-of-pocket health expenses effectively. * 🚌 Commuter Benefits: Make your travel to work easier and more affordable. * 🏥 Life Insurance: Providing peace of mind for you and your loved ones. * 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Ready to join us? Compensation Range: $90K - $150K

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: IP Law Expert Type: Contract Compensation: $100–$120/hour Location: Remote Role Responsibilities • Build a realistic digital workspace centered on the Drive folders you use daily. Include client memos, patent/trademark drafts, prior-art search results, opinion letters, licensing agreements, docket printouts, and email threads., • Design multi-step tasks based on real workflows. Structure around end-to-end client engagements requiring navigation of multiple apps, files, and stakeholders., • Collaborate with other IP attorneys to design environments, shape task scope, and review scenarios for realism and rigor., • Work asynchronously with research teams to refine task designs and evaluation criteria for IP-law agent benchmarks. Must-Have • JD and active bar admission; USPTO registration for patent practitioners., • 3+ years of full-time IP experience at an AmLaw 100/200 firm or Fortune 500 in-house IP team., • Day-to-day use of Westlaw / LexisNexis, HotDocs or Contract Express, and Relativity., • Background in patent prosecution, trademark portfolio management, IP litigation, or licensing., • Upload resume, • AI interview based on your resume

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Litigation Expert Type: Contract Compensation: $100–$120/hour Location: Remote Role Responsibilities • Build a realistic digital workspace centered on the Drive folders you use daily. Include pleadings, motions, deposition summaries, discovery requests, exhibit lists, case chronologies, expert reports, and email threads. Represent platforms like Relativity, Nuix Discover, Westlaw, LexisNexis, Clio, and MyCase., • Design multi-step tasks grounded in real workflows. Structure around end-to-end matters such as pre-litigation, pleadings, discovery, motions, trial/settlement, and post-judgment. Navigate multiple apps, files, and stakeholders to challenge frontier AI agents meaningfully., • Collaborate with other litigation experts to design the environment, shape task scope, and review scenarios for realism and rigor., • Work asynchronously with research teams to refine task designs and evaluation criteria for litigation agent benchmarks. Must-Have • JD and active bar admission, • 3+ years of full-time litigation experience at an AmLaw 100 firm or Fortune 500 in-house litigation group, • Background in commercial, securities, IP, employment, or regulatory-enforcement litigation, • Day-to-day use of Relativity, Nuix Discover, Westlaw, LexisNexis, and Clio/MyCase, • Upload resume, • AI interview based on your resume #hiringmercor

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Regulatory Law Expert Type: Contract Compensation: $100–$120/hour Location: Remote Role Responsibilities • Build a realistic digital workspace centered on the Drive folders you use daily. Include rule comment letters, regulatory-change analyses, exam responses, compliance memos, policy drafts, enforcement-defense briefs, and email threads. Represent platforms like Westlaw, LexisNexis, Refinitiv World-Check, Dow Jones Risk & Compliance, and CUBE., • Design multi-step tasks grounded in real workflows. Structure around end-to-end matters like regulatory-change analysis, rule-making advocacy, examinations, enforcement defense, and compliance-program design. Navigate multiple apps, files, and stakeholders to challenge frontier AI agents., • Collaborate with other regulatory attorneys to design the environment, shape task scope, and review scenarios for realism and rigor., • Work asynchronously with research teams to refine task designs and evaluation criteria for regulatory-law agent benchmarks. Must-Have • JD and active bar admission., • 3+ years of full-time regulatory experience at an AmLaw 100 firm or Fortune 500 in-house regulatory / compliance team., • Background in areas such as financial-services regulation, healthcare regulation, energy regulation, telecom/tech regulation, or environmental/consumer-product/food-and-drug regulation., • Day-to-day use of Westlaw, LexisNexis, Refinitiv World-Check, Dow Jones Risk & Compliance, and CUBE., • Upload resume, • AI interview based on your resume #hiringmercor

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data 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 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., • 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., • 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. 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.

Job Description About the Role Icreon is making a deliberate break from traditional marketing. We're not looking for a marketer who uses AI tools — we're looking for someone who is fundamentally wired as an engineer and applies that mindset to pipeline generation, market presence, and revenue growth. The GTM Engineer owns the systems and workflows that put Icreon in front of the right people, at the right time, with the right message — and builds the infrastructure to make that repeatable and scalable. You will sit embedded with Sales, working directly on account-based pursuits, outbound campaigns, and content that creates commercial momentum. You are measured on pipeline, not impressions. At a Glance Reports To: Marketing Head Location: New York, NY (Hybrid) Structure Individual contributor Type: Full-Time What You Will Own Inbound Pipeline — Design, build, and run campaigns that generate qualified pipeline for Sales. Own the sequencing, targeting logic, messaging, and iteration cadence. Account-Based Pursuit Support — Work directly with Sales on specific account targets. Build personalized outreach, research dossiers, and campaign assets for named accounts Icreon is actively pursuing. Content as a Pipeline Tool — Produce content — posts, articles, case studies, thought leadership — explicitly designed to create commercial conversations, not brand awareness. Every piece has a target audience and an intended next action. SEO and Web Presence — Own Icreon's search presence as a demand channel. Identify gaps, build content against them, and measure what drives inbound from the right buyer profiles. Marketing Infrastructure — Own the toolstack: CRM hygiene, sequencing tools, enrichment, automation, analytics. Build workflows that eliminate manual effort and surface signal from noise. How You Will Operate This role is embedded with Sales — not adjacent to it. In practice that means: • Weekly alignment with Sales on active target accounts and pursuit priorities, • Building and iterating outbound sequences across email and LinkedIn, • Producing account-specific research and personalization assets for high-priority pursuits, • Running content distribution with deliberate targeting, not broadcast logic Experience • 3+ years in a GTM, growth, demand generation, or revenue marketing role — ideally in B2B services, consulting, or technology, • Hands-on experience building and running outbound campaigns with measurable pipeline outcomes, • Demonstrated ability to produce content that drives commercial outcomes, not just engagement, • Systems thinker — you build repeatable infrastructure, not one-off campaigns, • Technically comfortable — you can configure tools, build automations, and connect APIs without needing an engineer, • Strong writer — you produce sharp, specific, human-sounding outreach and content at speed, • Commercially oriented — you understand what Sales needs and translate that into GTM execution This role exists because AI has fundamentally changed what one person can execute. We expect this person to be operating at the frontier of that — not experimenting with it. Specifically: • Prospecting and enrichment — Builds Clay workflows that pull from multiple data providers (Apollo, Cognism, Clearbit), layer in trigger signals (funding events, job changes, tech stack installs, recent news), and output hyper-targeted prospect lists with context baked in — not static CSVs, • Workflow automation — Uses AirOps or n8n to build LLM-powered GTM pipelines: research inputs in, personalized outreach assets out, routed automatically to the right sequence or rep. Reduces manual intervention to near zero on repeatable motions, • Personalized video outreach — Uses HeyGen to produce AI avatar video at scale — personalized prospect videos that don't require a human to record each one. Knows where this converts and where it reads as gimmick, • Campaign and brand content — Uses Higgsfield, Seedance, or Runway to produce cinematic video and visual content for campaigns, LinkedIn, and new business pursuits — at a cadence and quality level that previously required a production team, • AI writing at volume — Uses Claude, ChatGPT, or Copy.ai to produce first drafts of outreach sequences, case studies, LinkedIn posts, and campaign assets fast — then edits for voice, specificity, and commercial intent. Never publishes raw output, • Intent signal routing — Configures tools like 6sense, HockeyStack, or Cargo to surface buying signals and route them into automated outreach or Sales alerts without manual triage, • Primary: Qualified pipeline generated from outbound — volume and conversion into Sales conversations, • Primary: Account-based campaign contribution — % of active Sales pursuits supported with GTM assets, • Content performance — elevation of company leadership, inbound leads from target buyer profiles,, • SEO-driven inbound — organic pipeline from buyer intent keywords Icreon is a digital consulting firm working across strategy, design, and engineering for enterprise clients. This role exists because we believe the intersection of AI and go-to-market is one of the highest-leverage bets a firm like ours can make right now. We're looking for someone who agrees — and can prove it. Powered by JazzHR PPqlxamCCC

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. HumanSignal is looking for a high-performing Sales Development Representative to help us reach the world's most innovative AI companies. You'll be opening doors with frontier labs, tech giants, and cutting-edge robotics companies who are building the future of AI—and who need the purpose-built training data that only we can provide. This isn't typical SDR work. You'll be prospecting into organizations like Anthropic, OpenAI, Google DeepMind, Meta, Tesla, Nvidia, and others at the absolute forefront of AI research and development. Your outreach will reach ML researchers, AI engineering leaders, and executives building breakthrough applications. The technical sophistication and strategic importance of these accounts make this one of the most exciting SDR roles in enterprise tech. You'll be the first point of contact for companies that will define the next decade of technology. Your ability to craft compelling messaging, understand technical concepts, and engage senior executives will directly impact HumanSignal's growth trajectory. You Will: • Generate qualified pipeline: Identify and create new business opportunities by prospecting into frontier AI labs, major tech companies, and innovative robotics firms, • Master personalized outreach: Write highly tailored cold email and LinkedIn messages that resonate with ML engineers, AI researchers, and technical executives, • Book strategic meetings: Conduct high-level qualification conversations with senior leaders and connect them with our Account Executive team, • Understand the landscape: Develop deep knowledge of AI companies, their data needs, and how our Data Creation Laboratories and Label Studio platform solve critical challenges, • Communicate value: Articulate why purpose-built, human-created datasets are essential for the next generation of AI applications, • Collaborate cross-functionally: Work closely with sales, marketing, and product teams to refine messaging and targeting strategies, • Bachelor's degree or equivalent work experience, • 1-2+ years of SDR, BDR, or sales experience in a fast-paced enterprise software, SaaS, or technical environment, • Demonstrated track record of top performance and consistently exceeding quota, • Exceptional written and verbal communication skills with ability to tailor messaging to technical audiences, • Research skills and intellectual curiosity to understand complex technical concepts quickly, • Ability to multitask, prioritize effectively, and thrive in a high-energy environment, • Experience prospecting into large, complex technical organizations, • Process-oriented mindset with strong organizational skills, • Genuine interest in AI, machine learning, and emerging technologies, • Familiarity with how AI models are trained and the role of training data, • Experience using sales tools like Salesforce, Outreach, LinkedIn Sales Navigator, and ZoomInfo, • Self-motivated and competitive spirit with excitement for sales metrics and friendly competition, • Collaborative team player who welcomes feedback and coaching You're not booking meetings for boring enterprise software—you're connecting with the people building AGI, autonomous robots, and AI systems that will reshape society. Every conversation you have is with someone at the cutting edge. You'll learn about AI from the inside, build relationships with industry leaders, and develop skills that will accelerate your career in the most important technology sector of our generation. About HumanSignal At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require. We believe the next frontiers in AI won't be unlocked by scraping what's left on the web—they'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability. We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future. We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status. At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $60,000 to $110,000 USD plus commission. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

Job DescriptionAbout Us: Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting edge research in silicon photonics. Why Join us? At Voyant, you’ll help build some of the world’s most complex silicon photonics chips, reimagined for high-performance 3D sensing. Our chips are at the heart of our LiDAR systems, and your work has a direct impact on our core product and roadmap. As a Senior Silicon Photonics Engineer, you’ll play a key role in defining photonic architecture and developing new passive and active components. In your first year, you’ll own simulations, and design system PICs, working hands-on from concept through implementation. You’ll join a small, fast-growing team that collaborates tightly across photonics, systems, packaging, and electronics. The role offers both deep technical ownership and real growth potential — from leading component design to eventually overseeing full tapeout efforts across disciplines. If you're excited by cutting-edge technology and meaningful challenges, this is a rare opportunity to shape a core system in a company that’s bringing photonics innovation to market. Key Responsibilities: * Design and simulate photonic components and system-level functionality and performance * Design schematics, draw layout, as well as work with layout engineers to create photonic systems and component test structures. * Own and drive complex tapeouts to completion on time * Work closely with external manufacturing partners to inform component design, process integration, and performance monitoring. * Develop component and system-level optical testing plans and collaborate with the test team to develop optoelectronic testing setups, perform hands-on photonic component and optical system-level testing. * Work with the product team to transition/scale testing for performance evaluation. * Collaborate with cross-functional teams to integrate our photonic chips into the LIDAR system and evaluate their performance * Contribute to the expansion of our IP portfolio through patent filing Qualifications: * Ph.D. with research in silicon photonics with 2+ years’ experience * Proven track record leading one or more successful silicon photonics foundry tapeouts * Strong understanding of planar waveguide optics, both passive components such as waveguides, multiplexers/demultiplexers, tapers, couplers and active such as waveguide detectors, lasers and optical amplifiers * Strong understanding of photonic system-level design concerns * Strong understanding of photonic component-level design concerns * Experience in photonic fabrication * Good understanding of CMOS manufacturing process steps and constraints on the design of photonic devices * Proficient with mainstream photonic components and systems simulation packages such as Lumerical, Tidy3D and COMSOL * Proficient with complex optoelectronic lab testing techniques and equipment, necessary to validate designs, including high speed detectors, oscilloscopes, spectrum analyzers, precision positioning setups * Collaborative in a multi disciplinary startup environment, ability to work both with local and remote team members as well as with our manufacturing partners * Independent, analytical thinker, comfortable in a fast-paced dynamic frontier technology environment Benefits Package: * Competitive base salary and meaningful equity package. * Comprehensive health benefits (Medical, Dental, Vision). * Unlimited PTO and paid company holidays. * Team events and company meetups. * Complimentary lunch provided daily at our NYC office. Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job DescriptionAbout Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: * Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel * Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions * Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders * Build a massive, fast-growing business with billions in revenue About the Role We’re looking for a Senior IT Support Analyst who thrives in fast-paced, high-growth environments. This role is more than ticket resolution — you’ll be a builder, problem-solver, and systems optimizer who helps scale IT operations as the company grows. You’ll support a distributed workforce, improve processes, implement automation, and partner cross-functionally to ensure our employees have a seamless technology experience. If you enjoy wearing multiple hats, owning problems end-to-end, and building IT the right way from the ground up, this role is for you. Own the Employee IT Experience * Provide Tier 2/3 support across hardware, SaaS apps, identity systems, and collaboration tools * Serve as an escalation point for complex or high-impact issues * Ensure fast, thoughtful resolution of tickets with a strong customer experience mindset * Support remote and hybrid employees across time zones Build & Scale Systems * Improve onboarding/offboarding workflows and automate where possible * Manage identity and access (Okta/Google Workspace/Full Stack) * Administer endpoint management (Iru, Jumpcloud. etc.) * Optimize SaaS management and license provisioning * Identify repetitive issues and implement scalable solutions Drive Process & Security Improvements * Create and maintain documentation and internal knowledge bases * Partner with Security on device compliance, access controls, and audits * Help implement new tools and systems as the company grows * Participate in incident response when needed Be a Cross-Functional Partner * Work closely with People Ops, Finance, Security, and Engineering * Help evaluate and roll out new productivity tools * Provide technical guidance during company growth initiatives (new offices, M&A, rapid hiring, etc.) You Have * 5+ years of IT support experience, ideally in a startup or high-growth environment * Experience supporting both macOS and Windows (macOS-heavy preferred) * Hands-on experience with: * Google Workspace * Slack * Okta or other IAM platforms * Endpoint management tools (Jamf, Intune, Kandji, etc.) ITSM systems (Jira, Linear, ServiceNow, etc.) Technical Skills * Strong troubleshooting skills across hardware, SaaS, networking basics, and identity * Experience with SaaS administration and lifecycle management * Basic scripting or automation skills (PowerShell, Bash, or similar) preferred * Comfortable working in cloud-first environments Mindset * Builder mentality — you improve things instead of working around them * Highly organized and documentation-driven * Bias toward action and ownership * Comfortable with ambiguity and rapid change * Strong communicator who can translate technical concepts to non-technical audiences We Offer Handshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers. Compensation Range: $116K - $145K

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the role The next generation of behavioral health will be built on agentic AI — systems that don't just predict or summarize, but act: scheduling, coordinating care, drafting clinical documentation, surfacing risk, and orchestrating the hundreds of micro-decisions that today consume clinician and operator time. Charlie Health's ambition is to build the most advanced agentic systems in healthcare. We are investing in a multi-agent architecture grounded in a real-time clinical signal graph, governed by HIPAA-native infrastructure, and deployed against measurable patient outcomes in a national virtual IOP. We are hiring a Senior Principal AI Engineer to lead the design, development, and deployment of these systems across our platform. This is a hands-on technical leadership role with deep cross-functional reach into Engineering, Product, Data, Clinical, and executive leadership. Responsibilities • Serve as the technical owner of agentic AI at Charlie Health, from architecture and model strategy through production deployment and ongoing reliability., • Lead the development of clinical operations agents that handle scheduling, intake, insurance verification, referral triage, and care coordination, replacing brittle human handoffs with auditable, supervised AI workflows., • Lead the development of clinician copilots for real-time documentation, risk surfacing, and treatment-plan support, integrated with our EHR and clinical data platform., • Define and build the agentic substrate: eval frameworks, observability, guardrails, tool registries, prompt and policy versioning, PHI-safe logging, and simulation environments., • Own the model strategy across frontier models, fine-tunes, distilled specialists, and classic ML, and articulate it clearly to executive and clinical leadership., • Partner with Product, Clinical, and Data teams to identify high-leverage opportunities for AI across patient and operational experiences., • Establish best practices around AI reliability, safety, evaluation, and explainability in a regulated clinical environment., • Mentor engineers and data scientists across the organization and help foster a strong culture of technical excellence and responsible AI innovation.What you'll work with, • An executive team that has committed to an AI-native operating model and is funding it., • An AI Guild of senior engineers, data scientists, and clinical operators piloting AI across the company today., • A modern data foundation including Snowflake, dbt, pgvector, and an emerging Intelligence Layer that exposes patient and operational signals as first-class events., • Live workstreams in clinical documentation, referral-source conversion modeling, scheduling intelligence, and clinician productivity. We are looking for an engineer who finds those constraints clarifying rather than limiting. Requirements • 10+ years of software engineering experience, with several recent years focused on LLM- or ML-powered systems in production., • Hands-on experience designing and operating agentic systems, including tool use, planning, multi-agent orchestration, eval design, and failure-mode analysis., • Track record of owning a complex technical initiative end-to-end, including evaluation infrastructure, observability, on-call, and regulatory or compliance review., • Strong communication skills and comfort operating across registers, from executive strategy conversations to engineering code review., • Genuine interest in healthcare and in applying AI responsibly in a regulated, high-stakes domain., • BS, MS, or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related technical field, or equivalent practical experience. Additional Information The total target base compensation for this role will be between $350,000 and $600,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

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

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!

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 the Job: As an SDK Engineer on LaunchDarkly’s AI Configs team, you'll build the primary touchpoint that our customers interact with on a daily basis. You’ll drive the development of the SDK that enables customers to control, monitor, and optimize their GenAI functionality. You’ll primarily work in Python and Typescript, but you’ll also be exposed to other languages in LaunchDarkly’s stack. When working on our SDKs, you’ll contribute to much more than thin client wrappers. Our SDKs are feature-rich agents with strong emphases on performance, concurrency, and resiliency – all while following idiomatic practices for their tech stack. 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: * Contribute to the development of our open-source AI SDKs, including implementing new features and keeping up-to-date with the latest development practices * Collaborate with our engineering and product teams to drive the implementation and release of major features * Drive key improvements to key developer experience touch points within the SDK * Actively maintain our open-source repositories * Identify areas of improvement and advocate for best practices * Have an active voice in shaping both technology and product decisions Qualifications: * Demonstrable experience building libraries and packages used by other developers * 5+ years experience with Python and Typescript * Experience working with AI SDKs such as the OpenAI and Vercel AI SDKs * Strong computer science fundamentals * Committed to working in a communicative, collaborative environment * Self‐starter and problem solver, willing to solve difficult problems and work independently when necessary * Strong testing background: experience building unit, integration, load tests, and benchmarks * Experience writing production-ready code with emphasis on quality and maintainability * Experience contributing to open-source software 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.

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 will 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 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: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,000 - $235,000**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,000 - $211,000**, • Zone 3: All other US locations - $145,000 - $200,000** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages, • Delivering targeted experiences by easily personalizing features to customer cohorts, • Maximizing the business impact of every feature through the ability to experiment and optimize, • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types, • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at ___. 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 ___.com 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 ___.

At ___, we’re building onchain markets that enable anyone to get exposure to technological progress and adoption — starting with perpetual futures for pre-IPO companies. Private equities are a $13+ trillion asset class that retail has been locked out of for too long. Top startups have stayed private for longer than ever, leaving no way for everyday investors to participate in their growth. Ventuals makes private markets public — enabling anyone to trade top private companies like OpenAI, SpaceX, Anthropic, and Stripe. We’re building on Hyperliquid, and have had amazing testnet traction in the 2 months since launch, with ~10,000 weekly active traders and >1M cumulative trades, and zero marketing spend. Our seed round was led by Paradigm, with additional angels from Coinbase Ventures, Electric Capital, Ethereum Foundation, Uniswap, and Flashbots. Our small, world-class team is mostly based in New York, and we often work out of a beautiful office in Soho with other early-stage Paradigm portfolio companies. We’re looking for a senior or staff-level engineer to join Ventuals ahead of our mainnet launch. You’ll be shaping the user experience, trading systems, and infrastructure that our users will interact with on day one. As a generalist, you’ll work across the entire stack – from shipping frontend features on our ___ app, to building core trading APIs, to scaling the infrastructure that power our exchange. We're looking for an experienced IC who wants to: * Ship user-facing features in TypeScript, React, and ___ * Build backend services that power our exchange, including trading, market data, indexing, and monitoring systems * Help shape the product roadmap and strategy alongside the founders and the rest of the team You're a senior or staff-level IC that has built technical user-facing products before. We’re looking for someone that feels a deep sense of duty to the users of their work. * Ability to thrive in a fast-paced, ambiguous startup environment * Strong track record of ownership and high-agency execution * Pragmatic builder who can write clean, maintainable code but knows when to move fast * Excellent written and verbal communication; strong technical documentation skills * Curiosity and adaptability; willing to dive into new technical domains quickly * Work on a frontier product with clear, proven user demand * High autonomy and outsized impact as one of the first engineers * Be part of a high-performance, low-ego culture that values grit, excellence, and execution * Partner directly with founders on product and technical strategy ___ (Co-Founder and CTO) — Previously CTO at Shadow, Paradigm EIR, and Staff Engineer → Engineering Manager at Airbnb, where she built the realtime indexer for user profiling used sitewide and managed a team of 15 engineers. Has been highly active onchain since DeFi summer 2020. ___ (Co-Founder and CEO) — Previously CEO at Shadow, Paradigm EIR, and Designer → Staff Product Manager at Airbnb, where he was the first PM on Airbnb Plus and helped take it from a whiteboard idea to a $100M/yr business in 2.5 years. Has been highly active onchain since DeFi Summer 2020. Emily and Alvin are siblings and have worked together for the past 10 years! Highly competitive salary and equity — we target 90th percentile compensation for both salary and equity. You’ll be expected to act like an owner, because you are one. Great healthcare — gold-tier company healthcare plans. We cover 99% of medical, dental, vision premiums for employees, and 50% for dependents. 401k — flexible 401k retirement plan with contribution matching. Hardware setup — we’ll buy whatever you need to be productive.

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. 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. As a Transaction Principal at Anthropic, you'll drive the commercial sourcing and transaction execution process for our data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems, requiring you to bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams. * Help identify data center capacity opportunities and options through management of network relationships across data center developer, broker, and power contacts. * Lead the RFP and commercial sourcing process for specific data center deals, managing developer outreach, proposal evaluation, and competitive selection processes * Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships * Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure * Serve as project manager for cross-functional stakeholder engagement, coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance organization to ensure alignment prior to lease execution * Act as the single point of contact (SPOC) for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing process status * Develop and maintain transaction timelines, tracking critical path items and proactively identifying risks that could impact deal closure * Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint * Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms * Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement * Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution * Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements * Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously * Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions * Demonstrate exceptional communication skills, able to serve as an effective liaison between internal stakeholders and external partners * Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives * Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution * Have a collaborative mindset and can build trust with diverse stakeholder groups across the organization * Have experience with data center or hyperscale infrastructure transactions specifically * Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity * Have worked with legal teams on complex lease negotiations or infrastructure agreements * Possess familiarity with data center developer ecosystems and market dynamics * Have experience in high-growth technology companies managing infrastructure expansion * Understand utility coordination, power procurement, or energy considerations in data center transactions * Have a background in corporate development, strategic partnerships, or infrastructure investment The annual compensation range for this role is listed 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. Annual Salary: $1 - $2 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. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. 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

About the Job: As a Strategic Account Executive, you will own the relationship with the most strategic customers in your territory. You will play a significant role in the expansion of growth within these accounts. You should be business oriented, customer focused, and a self-starter who works well with little supervision. Responsibilities: * Ownership of Strategic Accounts: You will be the primary point of contact and relationship owner for several strategic accounts at LaunchDarkly (~8 total) * Territory and Account Planning: Develop comprehensive territory and account plans, proactively drive outbound pipeline generation independently, and collaborate effectively with Business Development Representatives. * Ensure Successful Adoption: Ensure the seamless adoption of LaunchDarkly within these large enterprises through robust account management. Coordinate closely with pre-and-post sales engineering, customer success, and support teams to guarantee client satisfaction. * Elevate LaunchDarkly's Visibility: Increase LaunchDarkly's visibility and communicate our value proposition effectively to Vice Presidents and C-Suite executives. * Collaboration with Solutions Engineers: Work closely with your solutions engineer counterpart to deliver both business and technical value to prospects and customers. * Cross-functional Collaboration: Collaborate with internal teams, including product support, developer relations, marketing, and revenue operations, to align our offerings with customer business needs effectively. About You: * Entrepreneurial and Self-Motivated: You are driven and proactive, taking ownership of your role and responsibilities. * Passion for Learning and Growth: You are enthusiastic about continuous learning and personal development at LaunchDarkly. * Intellectual Curiosity and Ambition: You have a hunger for knowledge and strive for ambitious goals. * Excellent Communication: Your written and spoken communication skills are outstanding. * Highly Organized & Autonomous: You are capable of efficiently managing your workload and thrive in an environment that encourages autonomy. * Adaptability: You excel in a fast-paced and dynamic organizational setting. Qualifications: * 8-10+ years of Strategic Sales Experience (closing), preferably within the B2B technology sector. • Experience navigating complex deals over $1M. You have a demonstrable track record of consistently meeting or exceeding quota expectations of 1M+. * You possess the expertise to navigate consultative sales cycles with Executive-level stakeholders at Fortune 500 companies. * You have experience implementing and succeeding with a Land & Expand SaaS Sales strategy, effectively expanding business within large accounts (1M ARR+). * Recent experience working for an emerging technology software company is a significant plus. * Familiarity with and experience using the MEDDPIC sales methodology is advantageous. * Travel: expected range of 25% to 50% as needed Target pay ranges based on Geographic Zones* for Level P4: • Zone 1: San Francisco/Bay Area or New York City Metropolitan Area, Boston, Seattle: $262,000 - $361,000** On Target Earnings (OTE) includes base pay and commission, • Zone 2: DC, Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago: $236,000 - $325,000** On Target Earnings (OTE) includes base pay and commission, • Zone 3: All other US locations: $223,000 - $307,000** On Target Earnings (OTE) includes base pay and commission 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 ___.com 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 ___. Please notify us of any fraudulent representation by sending an email to ___.

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: Developers and their teams are adapting to new ways of building and shipping software as AI becomes a core part of their daily workflows. AI is accelerating development, but it is also expanding the risk surface in production. Developers need control, clarity, and safe ways to move fast. We’re looking for a Developer Relations Leader to support and empower developers through this transition. This leader will define and scale a Developer Relations and Experience strategy that strengthens developer trust, accelerates adoption, and shapes how LaunchDarkly serves developers. They will shape our long term strategy for community, education, advocacy, and onboarding in ways that accelerate adoption, strengthen developer trust, and influence the broader developer experience so development teams can adopt modern delivery practices with confidence. Responsibilities: Strategy and Leadership • Develop and lead the strategy for Developer Relations and Experience with a focus on enabling developer success in ways that naturally support product adoption and customer value., • Lead, mentor, and grow a multi disciplinary DevRel organization., • Establish strong, collaborative ways of working with Product, Engineering, Marketing, Growth, and Docs to ensure developers receive a unified and consistent experience. Developer Success, Onboarding, and Delivery Maturity • Influence cross team strategy and roadmap decisions that support awareness, activation, and usage among developers. Drive hands on activations that advance these goals., • Partner with Product and Engineering to ensure that onboarding, tutorials, demos, quick starts, guides, and evaluation flows are intuitive and high-quality., • Create scalable ways to help teams adopt LaunchDarkly with minimal friction by using developer feedback to shape our approach. Deliver hands on programs that support growth toward more mature delivery practices., • Partner with Product and Docs to shape and support a documentation strategy that serves both traditional learning and AI assisted workflows., • Develop practical guidance and examples that help teams address real challenges in their delivery process so they can ship safely and with confidence. Advocacy, Awareness, and Community Support • Partner with go-to-market teams to shape narratives that resonate with developers and technical decision makers., • Represent LaunchDarkly at meetups, conferences, online communities, and industry events., • Build and nurture community programs, developer events, and workshops., • Build relationships with influencers, contributors, and technical champions, and collaborate with them to broaden reach and support more teams in improving their delivery practices., • Amplify customer stories, use cases, and product launches through developer facing channels. Voice of the Developer • Establish structured, prioritized feedback loops between developers and internal teams, shaping product and documentation improvements., • Identify friction across the developer journey and partner cross functionally to remove it., • Ensure that LaunchDarkly consistently delivers an experience that meets the expectations of modern software teams. Qualifications: • Typically brings at least 15 years of experience in Developer Relations, Developer Experience, or related technical advocacy roles, along with a minimum of 7 years of leadership experience., • Strong technical foundation; able to discuss APIs, SDKs, integrations, and developer workflows with credibility., • Proven track record building communities, programs, and content that resonate with developers., • Excellent communication and public speaking skills., • Ability to partner deeply with Product, Engineering, Marketing, and Growth teams., • Experience shaping developer onboarding, documentation, and engagement programs., • Experience supporting PLG and self-serve product motions through content, demos, and advocacy., • Hands-on experience creating technical content (talks, blogs, videos, sample apps, demos)., • Established presence or reputation within developer communities or open-source ecosystems. Pay: Target pay ranges based on Geographic Zones* for Level M4: • 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**, • Inclusive of a 10% Bonus Target 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 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.

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)

About the Job: LaunchDarkly is looking for an experienced Frontend Engineer to play a key role in shaping the future of software delivery on the Guarded Releases team. In a world where agents are delivering code faster and more reliably, releasing safely is no longer optional infrastructure; it’s a competitive advantage. The Guarded Releases team is focused on making every release safer, faster, and more reliable. Our mission is to redefine how software is released: automating release processes, measuring the real-time impact of feature rollouts, and simplifying debugging when things go wrong. From automated release pipelines to metrics monitoring, error tracking, and fully automated rollbacks, our work ensures every code change is measured, and the entire release process from rollout to issue mitigation is managed for maximum efficiency and reliability. We are solving critical challenges in modern software delivery: reducing the time it takes to detect regressions, automating responses to minimize risk, and eliminating manual effort. We extensively use the products we build, allowing us to create our own ideal release process while shaping the developer experience for teams across the industry. If you’re interested in building the systems that help software teams ship safely at scale, we’d love to work with you. Responsibilities: * Collaborate seamlessly with cross-functional partners (product, design, data science, and engineering) to architect and advance our observability products. Leverage your broad experience to facilitate strategic discussions that align technical solutions with business goals, ensuring the delivery of scalable and effective features. * Drive comprehensive end-to-end feature development, taking full ownership from proof of concept through to delivery. Ensure that each feature provides robust observability into system behavior and customer usage patterns post-launch, applying a deep understanding of both technical and user experience considerations to optimize feature performance and reliability. * Proactively identify opportunities for product and user experience improvements, leveraging data insights and feedback to propose innovative, well-reasoned solutions. Lead the implementation of these enhancements, balancing user needs, business goals, and technical feasibility, ensuring each change drives meaningful improvements in engagement and performance. * Provide expert mentorship and support to teammates, guiding them through complex challenges and fostering a collaborative, high-performance environment. Your deep expertise will help accelerate their growth, elevate team standards, and enhance overall productivity and technical excellence. * Actively lead and contribute to code reviews, spec reviews, and architecture design, ensuring alignment with best practices, long-term scalability, and maintainability. Your experience will drive thorough and thoughtful evaluation of solutions, while providing constructive feedback that elevates the quality of the codebase. * Play a key role in advancing engineering standards, tooling, and processes across the technology organization. By identifying areas for improvement and implementing process innovations, you will shape a more efficient and effective development environment, empowering teams to deliver high-quality features faster. * Stay at the forefront of frontend development trends, experimentation, and data-driven product evolution, bringing deep expertise to suggest and implement forward-thinking improvements in tools, processes, and methodologies. Your proactive involvement in continuous learning and improvement will help ensure the team remains competitive and cutting-edge in its approach to building user-focused products. Qualifications: * 5+ years of software development experience with a focus on frontend development, or equivalent demonstrable skills and experience. * Proficiency with modern JavaScript libraries and tooling, such as React. * Experience building data-focused products such as experimentation platforms, analytics dashboards, or large-scale data visualizations. * Proficient in designing, implementing, and maintaining RESTful APIs * Experience working directly with customers and understands how their work impacts business goals * Strong sense of ownership and accountability for delivering impactful solutions * Proven ability to work closely and collaborate with cross functional partners, like product, design, and data scientists. * Demonstrated ability to write clean, well-documented, and testable code with a focus on maintainability and extensibility. * Strong understanding of observability and monitoring tools and practices. * Excellent communication, collaboration, and interpersonal skills. * A proactive and self-directed approach to work. * Experience in a fast-paced, dynamic environment. * Experience working with distributed teams. Pay: Target pay ranges based on Geographic Zones* for Level 3: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860**, • Zone 3: All other US locations - $145,500 - $200,090 ** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages, • Delivering targeted experiences by easily personalizing features to customer cohorts, • Maximizing the business impact of every feature through the ability to experiment and optimize, • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types, • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at ___. Do you need a disability accommodation? Fill out this ___ and someone from our People Operations team will contact you for assistance.

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

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

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes., • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.), • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development., • Strong written and verbal communication skills and the ability to operate cross-functionally., • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax., • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents., • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc., • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$259,200—$324,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

Scale AI builds the data infrastructure that powers the world's most advanced AI. We are the trusted data partner behind frontier model makers and enterprise AI teams - providing the high-quality training data, evaluation frameworks, and human-feedback systems that make models smarter, safer, and more capable. Scale operates as a two-sided marketplace. On the demand side, our customers - leading AI labs and enterprises - need precisely labeled, expert-curated data to train and evaluate their models. On the supply side, we work with a global network of 500,000+ skilled contributors across 100+ countries who perform the complex annotation, evaluation, and data-generation tasks that fuel AI progress. Product Managers at Scale sit at the intersection of these two sides, shaping the systems, tooling, and experiences that make this marketplace work at unprecedented quality and scale. We are hiring Product Managers across multiple teams within our GenAI organization. These roles span both demand-side products (the tools and platforms our customers interact with) and supply-side products (the systems that power our contributor ecosystem). Each role offers the opportunity to work on high-impact, technically complex problems at the frontier of AI - with dedicated engineering, design, and data science teams. • Scale's GenAI platform is how the world's leading AI companies - from frontier model labs to Fortune 500 enterprises - create the training data that makes their models best-in-class. As a PM here, you are building the systems that directly shape AI model quality., • These roles are deeply cross-functional. You will work with dedicated engineering, design, and data science teams, as well as operations, finance, growth, and customer-facing stakeholders. The problems are technically complex, the pace is fast, and the impact is measurable., • Whether you are on the demand side (shaping the products customers use to create and evaluate training data) or the supply side (building the systems that power our global contributor marketplace), you will own your product area end-to-end - from strategy to execution to instrumentation. Task UX (Demand Side) - Own the end-to-end tasking product. You will define how tasks are designed, how contributors interact with multi-turn chat interfaces, and how in-task quality is measured and enforced across diverse conversational modalities. This is a critical surface area for training the next generation of models. Multi-Dimensional Quality (Demand Side) - Own Scale's MDQ measurement framework, the CoPilot assisted-annotation experience, and our data pipeline connectivity layer. You will drive the core data quality infrastructure that customers depend on - defining how quality is decomposed, measured, and surfaced, while building AI-assisted tooling that helps contributors produce higher-quality outputs faster. Pay & Incentives (Supply Side) - This PM owns the payment and incentive systems that serve Scale's global contributor base. You will ensure 500,000+ contributors across 100+ countries are paid accurately and on time, set pay rates methodically by skill and geography, and design incentive structures that balance cost efficiency, data quality, and contributor satisfaction. This role sits at the intersection of marketplace economics, global payments operations, and contributor experience. • Set the product strategy and roadmap for your area, grounded in customer needs, data analysis, and business impact, • Develop and execute a data-driven product roadmap through close collaboration with senior leadership, engineering, operations, data science, analytics, and design, • Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of your users, • Guide and interface closely with engineering and data teams to define scope, review and refine technical capabilities, prioritize projects for release, and identify new opportunities, • Build long-term instrumentation, monitoring, and evaluation capabilities for product performance tracking and insight generation, • Establish business cases and projected return on investment to identify and prioritize opportunities, • Partner with finance and business leaders to manage impact on the profitability and growth of the overall business, • Communicate product vision, strategy, and progress to executive stakeholders and cross-functional partners, • 4-10 years of experience in Product Management in the tech industry, with scope appropriate to level (L4: 4-6 yrs, L5: 6-8 yrs, L6: 8-10+ yrs), • Strong business acumen and analytical rigor, with demonstrated success driving products in ambiguous, high-growth environments, • Experience translating complex technical systems into clear product strategies - comfort engaging deeply with engineering and data science teams, • Excellent communication and stakeholder management skills, capable of influencing across technical and non-technical audiences, • Experience building products from the ground up and iterating through the scaling journey of a business, • Experience in AI/ML, data infrastructure, or marketplace businesses, • Strong understanding of the AI landscape - model training workflows, data labeling, evaluation, and deployment, • Experience with global payment systems, contributor/gig-economy platforms, or trust & safety domains About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About the Job: LaunchDarkly’s AI Specialist will be at the forefront of revolutionizing how AI engineers think about, release, monitor, and optimize their agents, scaling up our LaunchDarkly for AI from initial market validation to an industry-leading product. You will represent deep, specialized LD4AI product knowledge, sharing your expertise with prospects and customers, gathering critical feedback that shapes product development, and driving early-stage adoption. Your expertise will be instrumental in establishing the Solutions Engineering frameworks that will guide our future success. This is a role for builders and storytellers who thrive in undefined spaces. You will be expected to build – meaning the construction of integrations, technical content, whitepapers, and tutorials, all alongside attractive demos of our product customized to strategic engagements. You'll work with the innovation coming out of LaunchDarkly's Product team and make a significant impact on how companies build and deploy AI applications. Responsibilities: Expert-Level Solutions/Sales Engineering • Represent the trustworthiness and confidence of serious expertise in practical AI applications in customer conversations (especially as an escalation point above an SE SME), • Spearhead the early-stage implementation and adoption of LD4AI at scale, working closely with existing customers to ensure activation and churn prevention (alongside feedback), • Develop and document Solutions Engineering playbooks and best practices that scale beyond our first customers, • Function as a tremendous partner to the LD4AI Chief of Staff, surfacing revenue-related insights with respect to the maturation of the product accordingly, • Support LD4AI POVs ran by on-the-ground SEs Collect and Propagate Product Feedback • Collaborate extensively with product and engineering teams to ensure product concepts are technically feasible and align with LaunchDarkly's strategic goals, • Drive continuous improvement by monitoring product performance, user experience, and market response, iterating based on actionable data and insights, • Confirm that LD4AI’s roadmap adheres to market demand and deliver exceptional user experiences, especially for the AI developer persona – vocalizing objections with data Build LD4AI Into The World • Deliver integrations against common, quantified customer requests in the form of code contributions, architecture diagrams, and whitepapers, • Function as a key technical asset in (with the Head of AI and the partnership team) technical partnerships with advantageous potential partners (like Anthropic, DataBricks, etc…), • Publicly evangelize LD4AI at mainstream industry conferences, webinars, partner engagements, and strategic meetings Technical Leadership & Communication • Function as the primary owner of the disbursement of enablement material to the SE team, particularly to the designated by team/region SE LD4AI SMEs (for which you have partial, dotted-line accountability), • Co-own Revenue Enablement of LD4AI along with the Head of AI and the LD4AI tetrad, • Work with the AI Researcher, the PMM team, and the Head of AI to build and maintain competitor playbooks Qualifications: AI & Technical Expertise • This role requires a minimum of 12 years of related technical experience, • Extensive experience with AI applications—building, implementing, or selling AI solutions at scale, • Experience building multi-agent systems using frameworks like LangGraph, AgentBuilder, or AgentCore, • Hands-on experience evaluating AI agent performance at scale using automated evaluation methods, • Deep understanding of LLM mechanics (you've read 'Attention is All You Need' and can explain transformer architecture in detail), • Experience building or interfacing with MCP (Model Context Protocol) servers, • Strong Python skills with experience building in PyTorch or TensorFlow, • Strong foundation in software engineering principles and current market trends Mindset & Approach • Strong but loosely-held opinions about AI—you have a point of view but update it based on evidence, • Ability to anticipate where the AI landscape is heading and position products accordingly, • Deep curiosity about how AI changes software development, with an obsession for staying current on new AI technology, • Natural storyteller who can take new technology and craft compelling narratives that resonate with technical audiences, • Thrive in ambiguity—you love figuring it out, building new processes, and working in undefined spaces Pay: Target pay ranges based on Geographic Zones* for Level 5: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,000 - $263,000**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,000 - $237,000**, • Zone 3: All other US locations - $163,000 - $224,000** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages, • Delivering targeted experiences by easily personalizing features to customer cohorts, • Maximizing the business impact of every feature through the ability to experiment and optimize, • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types, • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at ___. Do you need a disability accommodation? Fill out this ___ and someone from our People Operations team will contact you for assistance.

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