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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAs a Software Engineer on the Product Engineering team at Harvey, you’ll contribute to engineering projects across our product lines. You’ll work closely with our AI, Legal, and GTM teams to help build secure, intuitive systems that deliver real value to our customers.We’re looking for curious, motivated engineers who are excited to learn, grow, and make an impact in the future of application-layer and GenAI products. This role is ideal for new graduates who want to work across the stack and build category-defining products.What You'll DoBuild features that enable retrieval over peta-byte scale document collectionsDesign intuitive interfaces for collaboration with AI systemsContribute to systems that manage dedicated GPU capacity across regionsSupport intelligent agents that help enterprises with complex planning tasksDevelop secure infrastructure for sensitive customer data and workflowsExperiment with and evaluating cutting-edge LLMs across diverse task categoriesWhat You HaveBS in Computer Science or related degree, graduation Spring 2025 - Fall 2025Applicants must currently reside in the San Francisco Bay Area and be able to commute to our San Francisco office. Relocation is not available for this role.Strong programming fundamentals in one or more languagesExperience from previous software engineering internshipsInterest in building highly intuitive, product-focused softwareA collaborative mindset, curiosity, and eagerness to learnCompensation $165,000 USD Please find our CA applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. What You’ll DoServe as the technical lead for integrating OEM and white-label compute, storage, and network hardware into Lambda’s HPC platform reference architectures.Drive the end-to-end process of new product introduction (NPI) for hardware systems, including evaluation, validation, documentation, and production readiness.Partner with architects to translate platform blueprints into concrete hardware selections and system configurations.Work cross-functionally with design, engineering, operations, and vendor engineering teams to ensure compatibility, performance, and scalability of new systems.Identify and resolve hardware issues across thermal, power, firmware, and mechanical domains during evaluation and bring-up cycles.Provide technical guidance during vendor engagements and benchmarking of next-generation platforms.YouHave 7+ years of experience in hardware integration or systems engineering for HPC, data center, or cloud infrastructure environments.Possess deep knowledge of server hardware platforms (x86 and ARM), PCIe accelerators, storage devices, and network fabrics.Are experienced with vendor-led product development cycles and can drive hardware evaluation, risk mitigation, and feedback into roadmap decisions.Can interpret platform-level architecture requirements and select or adapt OEM solutions to fit.Are comfortable working hands-on in labs with rack-scale deployments, BIOS/firmware tuning, and performance validation.Collaborate well across architecture, design, engineering, and vendor teams to deliver complete, production-ready hardware solutions.Nice to HaveExperience supporting AI/ML infrastructure and accelerated compute hardware (e.g., NVIDIA, AMD, Intel).Familiarity with system thermals, power delivery, or integration at rack-scale.Exposure to BMC/Redfish/IPMI configuration and automation.Background in performance tuning, benchmarking, and systems validation workflows.Prior experience contributing to reference designs or large-scale infrastructure blueprints.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About the role: Character.AI is building the future of open-ended interactions between people and intelligent agents. This requires rethinking design, user interfaces, and interactions from first principles.We are seeking a talented and creative Data Scientist to join our team and play a pivotal role in shaping the user experience of our AI entertainment products. As a Data Scientist, you will collaborate closely with Product cross-functional teams to design innovative, user-centered solutions that delight and inspire our customers. The ideal candidate will have a deep understanding of user-centric data, a strong portfolio showcasing their craft, and a passion for pushing the boundaries of what's possible with AI. What you’ll do: We are seeking a highly skilled and experienced Data Scientist with a strong background in consumer products to help scale Character.AI into its next era. You will work across a number of product areas, with a major focus on our two-side ecosystem of Creators and Users that together create the Characters and experiences that power the platform. Qualifications:Have 7+ years of experience at data science leadership at chat, social media, or UGC product companiesHave a strong intuition for choosing the right questions to ask and quickly driving to key insightsExcel at turning findings into actionable next steps and working with engineering to executeEnjoy leaning into high velocity experimentationAre capable of standing up Character.AI's data science efforts, including the tools and systems that you will need to work effectively as we scaleYou will be a good fit if you have:Ecosystems data science or B2C/C2C marketplace experienceAbout Character.AICharacter.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.

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About Rad AIAt Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.If you’re ready to shape the future of healthcare, we’d love to have you on our team!Why Join Us: We’re seeking a Director of GTM Finance to partner with our CFO, CRO, and senior leadership on driving revenue growth and commercial excellence. This role will be the finance owner for our go-to-market engine - covering everything from pipeline generation through to sales and ultimately customer upsell and renewal. You’ll play a critical role in aligning financial strategy with GTM execution, ensuring that Rad AI hits its ambitious growth targets with discipline and precision.This is a highly visible role at the intersection of Finance and GTM (Marketing, Sales, CS), where you’ll help define our growth trajectory, align teams on how to deliver on that growth, and dive in to help them execute and optimize performance. What You’ll Do:Partner with CRO & GTM Leaders to drive financial insight across Sales, Marketing, Partnerships, and Customer Success.GTM forecasting: bookings, pipeline coverage, win rates, sales cycle analysis, and productivity metrics.Annual and quarterly planning for headcount, capacity, quota deployment, and compensation structures across GTM.Build and maintain key SaaS unit economics models (CAC, LTV, sales payback, productivity ratios) to inform investment and growth decisions.Analyze sales and marketing funnel efficiency: pipeline health, win/loss trends, campaign ROI, and lead-to-close conversion.Collaborate with RevOps on sales capacity planning, quota models, coverage, and territory design, etc.Provide strategic insight on pricing, packaging, and partner economics to maximize revenue growth and margin profile.Build GTM financial models that support scenario planning, resource allocation, and board-level reporting.Serve as the trusted advisor to GTM leadership, connecting financial insights to commercial execution.Who We’re Looking For:8+ years of experience in FP&A, Strategic Finance, or Sales Finance within a SaaS or high-growth technology company; B2B experience required.Deep understanding of SaaS GTM metrics (pipeline coverage, win rates, CAC, LTV, productivity ratios).Strong modeling, forecasting, and analytical skills with the ability to distill insights into executive-ready recommendations.Proven ability to work cross-functionally and influence at all levels, especially with Sales and Marketing executives.Experience building and scaling GTM planning and reporting processes in a dynamic, high-growth environment.Comfortable toggling between strategy and execution; thrives in fast-paced and ambiguous settings.Previous experience working in a high-growth startup environment.Passion for healthcare and/or mission-driven technology is a strong plus.Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-aiFor US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:Comprehensive Medical, Dental, Vision & Life insuranceHSA (with employer match), FSA, & DCFSA 401(k)11 Paid Company HolidaysLocation Flexibility (Remote-first company!)Flexible PTO policyAnnual company-wide offsitePeriodic team offsitesAnnual equipment stipendFor roles based outside the US, your recruiter can share more detailsAt Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Product Management at Cohere:We view the role that PMs play at Cohere to be “full-stack” in the sense that you will work with cross-functional stakeholders at every step of the way when conducting product discovery, training and evaluating models, designing the product, delivering the experience, and ensuring successful GTM and customer happiness.About the Code Role:AI is rapidly changing how software is developed, but many enterprises have been unable to adopt these powerful new tools due to strict security, privacy, and compliance requirements. Cohere is uniquely positioned to bridge this gap by building enterprise-ready AI for developers.This is a foundational, 0-to-1 product management role focused on defining and building Cohere's code generation product suite from the ground up. The focus of this PM will be to discover and deliver the most valuable coding products for our enterprise customers, leveraging Cohere’s state-of-the-art models and our trusted position in the market. The expectation is that you have a deep passion for developer tools, a strong understanding of the AI landscape, and experience navigating the needs of enterprise customers.This role will be responsible for defining and building:The overall product strategy and roadmap for Code at Cohere.The end-to-end user experience for developers, including potential form factors like chat interfaces, IDE plugins, and CLIs.The go-to-market motion required for successful enterprise adoption, in partnership with sales and marketing.The feedback loop that guides our research team in building the next generation of code models.In this role, you will:Define strategic priorities and the product roadmap for Code at Cohere, focusing on enterprise needs and emerging AI capabilities.Use deep customer engagement and data to understand developer workflows, identify high-value use cases, and guide product development.Collaborate with a wide range of stakeholders, including teams in research, engineering, design, product, finance, go-to-market, and marketing.Drive product strategy through a deep understanding of the dynamic and competitive AI landscape for developer tools.Partner closely with our world-class research team to ensure our code models remain state-of-the-art and are tailored to solve enterprise challenges.You're likely a good fit if you have:Product Management Experience: A demonstrated track record in product management (4+ years) of shipping developer-focused or AI-powered products from concept to launchDeveloper-First Mindset: A genuine passion for and deep understanding of developer workflows, developer experience (DX), and the rapidly evolving AI coding assistant landscapeTechnical Collaboration: The technical depth to collaborate effectively with world-class research and engineering teams, whether from a formal CS background or equivalent hands-on experience in software developmentAI/ML Knowledge: Hands-on experience with LLMs or code generation technologies, and a clear vision for the future of AI in software developmentCross-Functional Leadership: Experience leading and unifying cross-functional teams (research, engineering, design, sales, marketing) around a compelling product vision and roadmapCommunication Excellence: Exceptional communication and execution skills, with the ability to translate complex technical concepts into clear business outcomes and inspire teams to deliverIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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Work With UsAt Liquid, we’re not just building AI models — we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas — we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and business leaders creating the next generation of AI. Whether you’re building foundational architectures, forging pivotal partnerships, or driving enterprise adoption — your work will directly shape the future of intelligent systems.This Role Is For You If:• You’re a proven player-coach with the executive judgment, commercial instinct, and technical intuition to lead Liquid’s most critical strategic partnerships.• You excel at navigating high-ambiguity, high-stakes conversations and can operate autonomously while representing the company at the highest levels.• You have a rare blend of technical fluency, commercial creativity, and executive polish, enabling you to move seamlessly between technical teams, C-suites, and commercial negotiations.• You can understand how foundation models create leverage for enterprise partners and know how to navigate internal dynamics to make complex deals happen.• You’re relentless in execution — able to simplify the complex, craft bespoke deal structures, and deliver measurable outcomes.Desired Experience:Strong experience across enterprise partnerships, business development, corporate development, or equivalent — ideally in AI, semiconductors, or infrastructure.Proven experience leading go-to-market strategies across channel, distribution, and reseller networks, as well as managing licensing partnerships.Demonstrated ability to architect and negotiate complex partnership agreements in collaboration with Legal and Finance.Track record of mentoring and building high-performing partnerships teams, with an eye toward scalable processes and repeatable success.What You’ll Actually Do:Develop and manage a portfolio of strategic partners aligned with Liquid’s objectives and long-term vision.Own the partnership roadmap with clear milestones, timelines, and success metrics (adoption, revenue, product launches).Architect and execute bespoke partnership structures across commercial, technical, and strategic dimensions.Serve as a trusted thought partner to the Head of Business and executive leadership.Map and influence key stakeholders across product, corporate development, procurement, and technical teams to drive aligned outcomes.Negotiate complex, multi-dimensional agreements with top-tier partners.Provide mentorship and guidance to junior team members while implementing scalable, repeatable partnership processes.What You’ll Gain:A seat at the table in shaping the partnerships strategy for one of the most ambitious AI companies in the world.The ability to forge alliances with leading global enterprises, hardware OEMs, and cloud/model providers — relationships that will directly influence Liquid’s trajectory.The opportunity to build and mentor a world-class partnerships function from the ground up.About Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale — from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.Because of the potential to work with our UK Defence clients, you will need to be eligible for UK SC clearance and willing to work up to three days per week on site with these customers, which may require travel to locations outside of our London base. The minimum requirement for SC clearance is 5 years continuous residence in the UK up to the present.About the RoleYou will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena. What You'll Be DoingYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Working with senior engineers to scope projects and design systemsProviding technical expertise to our customersTechnical DeliveryWho We're Looking ForYou can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of, and experience with the full machine learning lifecycleWorking with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchExperience with software engineering best practices and developing applications in Python.Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure)Demonstrable experience with containers and specifically Docker and KubernetesAn understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesDemonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to executionWe like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About Augment Code Augment Code is the only AI coding assistant built for professional software engineers working in large, production‑grade codebases. Our Context Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by top‑tier investors and trusted by engineering teams at leading tech companies, Augment Code is redefining how modern software is built. About the Role You'll be the architect of Augment's major market moments. In an industry where launch weeks drive record sign-ups and product launches make or break leaders, you'll own our most critical growth and reputation levers. You're the conductor of a fast-pace and world-class orchestra, coordinating story telling and launch efforts that accelerate Augment's trajectory. This role puts you at the intersection of cutting-edge AI technology and explosive startup growth, where your ability to move fast and coordinate flawlessly determines how Augment captures market-defining moments. Your mission Transform advanced technical and AI capabilities into compelling narratives, inspiring demos and brand-defining moments that grab attention, set a new bar for the industry, drive adoption, and shape how developers and engineering leaders see Augment Code and Software development with agents. Key responsibilities Drive product launches end-to-end: positioning, messaging, channel strategy, campaign execution Build launch frameworks that are repeatable, scalable, and adaptable Lead cross-functional coordination across Product, Eng, Design, DevRel, Sales, and Comms Translate technical product updates into developer-first storytelling across formats (web, docs, video, etc.) Partner with community leaders, creators, and press to amplify our launches Continuously refine positioning by listening to devs, analyzing usage, and watching competitors Key Competencies Strategic storytelling that resonates with both builders and buyers Deep empathy for developers and how they evaluate and use tools and AI Taste and creativity to make product narratives, content, campaigns and launches stand out Clear, punchy copywriting across channels that appeals to developers and engineering leaders Comfort working in ambiguity and iterating quickly Required Experience Proven success leading product marketing teams in developer tools Strong cross-functional leadership, including direct work with Product, Engineering, Marketing, founders and an Executive team Prior experiences as a professional Software Engineer and strong understanding of developer ecosystems Hands-on experience with AI tools and a strong grasp of how developers choose and use AI Experience crafting product launches, technical content, sales enablement and stories that stand out Employee Benefits: Flexible work hours Competitive salary & Equity Tools Stipend Health, Dental, Vision and Life Insurance Short Term and Long Term Disability Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair Numerous company social events We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter. Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 500+ customers in 50+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Title: Applied Legal ResearcherLocation: 575 Market Street, San Francisco, CA 94105Salary Range: $200,000 - $250,000 yearJob Description: Applied legal researchers work closely with product and engineering teams to understand, define, build, evaluate, and explain our AI systems and products. In all of these roles they require deep understanding of both AI and law and must combine and communicate on both concepts effectively. Understanding the current cutting edge of AI and how it can be used to support professionals at large law firm. Defining and specifying the requirements for AI driven legal workflows. Identifying or creating representative data in order to evaluate legal workflows. Working with engineers to build and optimize workflows through model training, fine-tuning, and prompt engineering. Work closely with other EPD functions such as product and design. In these capacities applied legal researchers draw on their past experience at large law firms to provide voice of the customer perspective to ensure all aspects of our products from UI to communications are cogent and compelling to our customers. Across these functions, they must bring both exceptional legal skills and understanding as well as a profound understanding of the ever-evolving state of AI to deliver value across our EPD organization.Requirements: Juris Doctor degree or foreign degree equivalent and two (2) years of experience in corporate law with particular understanding of corporate law workflows and opportunities for AI automation or the job offered.Experience and/or education must include:Drafting and editing of common corporate and deal documents, including merger agreements and corporate governance documentation;Utilizing statistical analytical and quantification methodologies to analyze and visualize the results of AI evaluations and provide actionable insights to development teams using excel and streamlit;Utilizing state of the art data collection and experiment design, including collection of human preference data, rubric-based evaluation, and golden data to build bespoke datasets for AI development using excel, streamlit, and internal Harvey react-based platforms;Three or more years experience at a V30 law firm along with a representative understanding of law firm personas, pain points, and workflows;Utilizing streamlit and other tools to build and evaluate AI products;Communicating legal and AI topics effectively with diverse stakeholders with different levels of understanding of each.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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About the Team Together AI is building the Inference Platform that brings the most advanced generative AI models to the world. Our platform powers multi-tenant serverless workloads and dedicated endpoints, enabling developers, enterprises, and researchers to harness the latest LLMs, multimodal models, image, audio, video, and speech models at scale. If you get a thrill from optimizing latency down to the last millisecond, this is your playground. You’ll work hands-on with tens of thousands of GPUs (H100s, H200s, GB200s, and beyond), figuring out how to fully utilize every FLOP and every gigabyte of memory. You’ll collaborate directly with research teams to bring frontier models into production, making breakthroughs usable in the real world. Our team also works closely with the open source community, contributing to and leveraging projects like SGLang, vLLM, and NVIDIA Dynamo to push the boundaries of inference performance and efficiency. Some of what you’ll work on Build and optimize global and local request routing, ensuring low-latency load balancing across data centers and model engine pods. Develop auto-scaling systems to dynamically allocate resources and meet strict SLOs across dozens of data centers. Design systems for multi-tenant traffic shaping, tuning both resource allocation and request handling — including smart rate limiting and regulation — to ensure fairness and consistent experience across all users. Engineer trade-offs between latency and throughput to serve diverse workloads efficiently. Optimize prefix caching to reduce model compute and speed up responses. Collaborate with ML researchers to bring new model architectures into production at scale. Continuously profile and analyze system-level performance to identify bottlenecks and implement optimizations. What We’re Looking For 5+ years of demonstrated experience building large-scale, fault-tolerant, distributed systems and API microservices. Strong background in designing, analyzing, and improving efficiency, scalability, and stability of complex systems. Excellent understanding of low-level OS concepts: multi-threading, memory management, networking, and storage performance. Expert-level programming in one or more of: Rust, Go, Python, or TypeScript. Knowledge of modern LLMs and generative models and how they are served in production is a plus. Experience working with the open source ecosystem around inference is highly valuable; familiarity with SGLang, vLLM, or NVIDIA Dynamo will be especially handy. Experience with Kubernetes or container orchestration is a strong plus. Familiarity with GPU software stacks (CUDA, Triton, NCCL) and HPC technologies (InfiniBand, NVLink, MPI) is a plus. Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience. Why Join Us? Shape the core inference backbone that powers Together AI’s frontier models. Solve performance-critical challenges in global request routing, load balancing, and large-scale resource allocation. Work with state-of-the-art accelerators (H100s, H200s, GB200s) at global scale. Partner with world-class researchers to bring new model architectures into production. Collaborate with and contribute to the open source community, shaping the tools that advance the industry. A culture of deep technical ownership and high impact — where your work makes models faster, cheaper, and more accessible. Competitive compensation, equity, and benefits. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $250,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy  

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!About North:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.Why This Role?This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.We are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI.In this role, you will:Build and ship features for North, our AI workspace platformDevelop autonomous agents that talk to sensitive enterprise dataExperiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectationsWork across the entire product lifecycle from conceptualization through productionLead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rolloutYou may be a good fit if:You have experience with and enjoy working directly with customersYou have shipped (lots of) Python in productionYou have built and deployed highly performant client-side or server-side RAG/agentic applicationsYou have experience deploying enterprise software in private/hybrid cloud environmentsYou have strong coding abilities and are comfortable working across the stack. You’re able to read and understand, and even fix issues outside of the main code baseYou have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualizationYou excel in fast-paced environments and can execute while priorities and objectives are a moving targetIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About 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 needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. 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 between France, USA, 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. See more about our culture on https://mistral.ai/careers. Role Summary  • As our AI Solution Architect, you'll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. It's a purely IC role.• You'll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results.• You'll partner with Sales Executives in tailoring Mistral's offering into impactful solutions meeting with prospects needs• You'll design implementation projects and scope the required resources on both Mistral and customer side• You'll guide companies in integrating GenAI solutions, making AI a tangible part of their operations.• You'll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production.• You'll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs.• You'll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages.• You'll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world.• You will travel approximately 30 to 60% of your time.• Your role will involve spending time at the client’s office. What you will do Your scope will be as follows: Pre-Sales & Sales Activities:• Conduct pre-sales calls to understand potential clients' needs, challenges, and aspirations.• Lead qualification calls to pinpoint prospects who would gain the most from our solutions.• Collaborate with the sales team to advance the sale pipeline, providing technical expertise and insights where necessary. Product Implementation, Integration & Deployment:• Guide and support customers in deploying our models and products into their infrastructure.• Work closely with customers to fine-tune models according to their specific requirements.• Assist clients in integrating our APIs into their front-end interfaces, ensuring a smooth user experience.• Regularly liaise with the product and technical teams to relay feedback and suggest improvements.• Design and develop product features that would meet the need of many customers. Customer Success & Support:• Continually ensure that the customer is maximizing the product's potential.• Provide post-deployment support, addressing any issues or challenges that arise promptly.• Conduct periodic reviews with customers to ascertain their satisfaction and gather feedback.• Offer recommendations for product optimisations or new features based on customer feedback.• Develop these features if needed. Delivering value to the customers:• Execute on effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives.• Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. • On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process• Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.   About you • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)• You have been involved in a customer facing role• Passion for AI, with a constant drive to stay updated and ahead of the curve• Proven experience in product implementation in AI or machine learning products• You have strong project & stakeholder management skills• You are proficient in developing custom prototypes using frameworks in Python or Javascript• You have foundational knowledge in AI/ML/Data science• Proficient in understanding and developing code• Familiarity with front-end interfaces and integration processes.• You have ability to connect technology and business value • You are result driven and resilient• Fluent in English and French• Being familiar with sales qualification concepts is a strong plus We are looking for adaptable team players who excel in a fast-paced environment and are ready to frequently support pre-sales as well as deployment tasks, contributing to our shared goals and success. Hiring Process • Talent Acquisition screening call• 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution)• 30min Value Talk • Reference check

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About Limitless 👋At Limitless, our vision is to free the human mind from its biological limitations. We are starting with memory. 90% of memories are forgotten after just a week. Not only that, but our memory gets worse as we get older. If there is a hearing aid for hearing and glasses for vision then why isn’t there the equivalent for memory? That question is why we started the company. We build software and hardware to capture what you see, say, and hear and make it useful.The products we have today are just the first step toward our audacious vision.We have raised over $33m from top-tier investors including Sam Altman, First Round Capital, Andreessen Horowitz, and NEA to help make that vision a reality.Why Limitless 👀The work you’ll do will have a tremendous impact on not just our company, but on society as a whole. We believe the best version of the future is one in which we augment - not replace - human intelligence with artificial intelligence. This is the key to unlocking humanity’s full potential, and you will play a critical role in helping us get there. Join us.Benefits 💯Health insurance: best-in-class healthcare for employees and dependents. Includes vision and dental.Top-of-market compensation: we strive to offer top-of-market salary and equity.Flexible vacation: we want you to take the time you need to rest and relax.Employee-friendly equity terms: we offer an extended exercise window and early exercise for any options offered.Sell equity along the way: Unlike most startups, we don’t believe in holding you captive with golden handcuffs. When there are opportunities for you to sell a portion of your vested stock, we offer them.Remote first: we have team members all over the U.S. and everyone is treated equally regardless of location.401(k) plan: for US employees we offer a 401(k) plan with company matching.Office reimbursement: prefer working from an office? We provide a WeWork membership or reimbursement.Parental leave: we offer all parents 12 weeks of paid time off to spend time with their new family.Quarterly retreats: we have offsites quarterly to bring everyone together. Past retreats include Seattle, Breckenridge, Calistoga & Mexico.Final week of the year off: Enjoy the final week of the year off while we all take time to recharge.Choose your gear: we equip everyone with a new top-of-the-line laptop with all the upgrades.Why we need you ✨Our products today are just the beginning of what’s possible. We’ve proven the power of our platform across hardware and software, and now it’s time to bring that same experience to Android. The majority of the world runs on Android, and building a best-in-class mobile experience is critical to delivering on our mission at scale.We’re looking for our founding Android engineer: someone who wants to take ownership of this platform and lay the foundation for how people will interact with Limitless every day. You won’t just be building “an app.” You’ll be shaping how memory augmentation feels on Android devices, influencing architecture, UX, and the long-term direction of the product.What will be your responsibilities 📓Leading Android development end-to-end, from architecture through shipping features that delight users.Designing and implementing modern, performant Android applications that handle real-time audio, data syncing, and AI-powered insights.Establishing best practices for Android development at Limitless and mentoring future team members as the team grows.Driving product decisions by bringing deep customer empathy into technical execution.What will help you be successful 👏You’ve shipped modern Android apps used by thousands (ideally millions) of people and can point to work you’re proud of.Strong foundation in performance and reliability across diverse devices.Experience handling complex data, background processes, and system resource constraints.Comfortable moving fast in an early-stage environment: you know when to build scrappy and when to invest in foundations.A product mindset: you care as much about the experience as you do about the code.What cultural values you need to embody 💥✅ Decisive: Bias for action and learning.🧠 Resourceful: Prioritize well in order to maximize impact with the least effort.📈 Craft: Good judgment & consideration when deciding something is done enough✋ Candor: Give candid feedback, receive it well, and speak up if you disagree🗣️ Communication: Be transparent, create clarity out of ambiguity, and do it with zest🙏 Collaboration: Help each other out, have empathy, and listen well.$200,000 - $400,000 a yearThe above compensation range includes salary + equity. The final package may vary depending on job-related knowledge, skills, and experience. Based on eligibility, we offer a comprehensive benefits package including medical, dental, vision, 401k, paid parental leave, PTO, and other employee benefits.Internally we aren't fixated on titles & levels since that can lead to needless hierarchy that distracts from the team's collective success. If you're interested in this job, we strongly encourage you to apply: we'd love to see you on our team working toward our audacious vision of freeing the mind from its biological limitations.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 500+ customers in 50+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAs a Staff Software Engineer, Frontend at Harvey, you will own and lead engineering projects that define the user experience of our different products: Assistant, Vault, Workflows, and Harvey in Microsoft Word and Outlook. You will also lead frontend engineering on new products that we are building at Harvey. The team is composed of highly motivated, skilled, and considerate engineers. Everything we touch is polished to high standards extending to all aspects of our work – from design to architecture to code to slack communication. If any of this resonates with you, this role might be right for you.This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.What You'll DoBuild new interfaces for lawyers and organizations to collaborate with AI.Lead end-to-end UI features for Assistant, Vault, Workflows, our Word/Outlook add-ins, and future Harvey products — from scoping and design reviews to implementation, launch, and iteration.Build polished, high-performance React + TypeScript interfaces using TailwindCSS, with crisp interactions, resilient state management, and strong error handling.Architect reusable components and patterns and evolve our internal design system.Optimize frontend performance at scale.Collaborate tightly with design and backend/infrastructure to shape APIs and UX for long-running jobs, streaming results, and tool-calling workflows.Raise the bar on frontend reliability and security UX for enterprise and regulated environments.Mentor peers through thoughtful code reviews and documentation; help refine our frontend standards and developer experience.What You HaveExperience with React, Typescript, and CSS (we use TailwindCSS)Track record of building fast-growing SaaS products by leveraging PWA technologiesTrack record of shipping highly intuitive products, strong attention to detailExperience working at startups and scaleups (anywhere from early-to-late-stage) is a plusCompensation Range$175,000 - $280,000 USDPlease find our CA applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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About UsZeromark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. Just field-proven technology that saves lives.We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms. Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats—because a $200 drone shouldn't require a million-dollar countermeasure.Here's what makes us different: ZeroMark operators don't build from behind screens. You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii. When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure. We don't tweet about changing the world—we're too busy actually doing it. Dark humor required, thick skin recommended.If you want to make an actual impact—and have some unforgettable Tuesday afternoons along the way—let's talk. We're all about delivering practical, field-tested tech, not just theories.About the RoleOur Chief Revenue Officer will play a pivotal role in shaping our company’s growth strategy and driving revenue performance across all business areas. They will be responsible for leading sales, business development, and customer engagement efforts, with a focus on strengthening relationships with government agencies, military branches, and key defense partners. They will oversee strategies for major government contracts, guide international market expansion, and ensure compliance with all defense industry regulations. Working closely with our team, you will align revenue goals with ZeroMark’s overall mission, ensuring that we not only meet but exceed our growth objectives. This is a high-impact leadership position that offers the opportunity to directly influence our company’s trajectory, enhance our competitive positioning, and enable long-term success in the defense sector.What you’ll doRevenue Strategy & Growth:Develop and execute the company’s long-term revenue growth strategy, with a focus on expanding market share in the defense and aerospace sectors.Sales & Business Development Leadership:Oversee domestic and international sales teams, ensuring alignment with customer needs—including government agencies, military branches, and defense contractors.Contracting & Partnerships:Lead bids and negotiations for large-scale government contracts and programs.Build and maintain strong relationships with key stakeholders across the Department of Defense, allied defense agencies, and industry partners.Revenue Operations:Establish and manage revenue operations processes, performance metrics, and reporting to ensure predictability, accountability, and transparency in revenue growth.Regulatory & Compliance Oversight:Ensure all business development and sales activities comply with U.S. government regulations and international trade controls.What you’ll needBachelor’s degree in finance, marketing, or a related field; MBA or advanced degree preferred.At least 7+ years of proven experience in CRO leadership roles within the Defense industry.Proven experience in senior revenue, sales, or business development leadership roles within the defense, aerospace, or government contracting sectors.Deep understanding of government procurement processes, contract vehicles, and compliance frameworks.Strong track record of winning and managing large defense contracts.Strategic thinker with the ability to translate market insights into actionable growth strategies.Exceptional leadership, negotiation, and stakeholder management skills.Preferred QualificationsActive security clearance or eligibility preferred.BenefitsOpportunity to make a significant impact in a growing defense tech startup.Work with a talented and passionate team.Competitive salary and benefits package.Opportunity for professional growth and development.Opportunity to shape the brand narrative and influence growth strategies.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.The role:As a Product Manager in the Financial Services team at Faculty, you will be focused on serving the needs of our customers across banking, insurance, capital markets, and financial infrastructure — applying AI to help them solve complex challenges in areas like risk management, fraud prevention, compliance, customer experience, and operational efficiency.This role demands strong analytical skills, curiosity, and the ability to work in fast-moving, highly regulated environments. You’ll help tackle important industry challenges in markets shaped by rapid technological change, evolving regulation, and competitive pressures.Leveraging your understanding of AI software product delivery, you’ll play a key role in shaping product approaches, working closely with customers and internal teams to deliver high-impact outcomes. You can expect hands-on delivery responsibility, significant customer interaction, and opportunities to contribute to Faculty’s growth from your first day.What you’ll be doing:Working with multidisciplinary teams to design, develop, and deliver AI-powered products from discovery through to deployment, participating in agile ceremonies and ensuring delivery quality.Managing delivery for one or more products or projects, balancing competing priorities while maintaining quality and impact.Collaborating with financial services stakeholders to understand their goals, regulatory context, and operational needs, helping shape phased delivery approaches that deliver measurable value.Building strong relationships with customer stakeholders, earning trust through delivery excellence and a growing mastery of how AI can solve their hardest problems.Contributing to Faculty’s product management community, sharing learnings, helping to define good practices, and supporting a culture of product excellence.Supporting account growth by identifying opportunities, contributing to proposals, and working alongside commercial teams.Learning from and working with senior product managers, developing your skills in stakeholder engagement, product strategy, and delivery leadership.What we’re looking for:A successful candidate will have demonstrable experience in AI and/or software product management, with preference for candidates with domain knowledge in financial services — such as banking, asset management, insurance, payments, or fintech.To succeed in this role, you'll need demonstrable experience in some of the following:3–6 years of Product Management experience, delivering digital products in an agile environment. Consultancy experience is a plus, but we also welcome applicants from product-led organisations or financial institutions.Experience contributing to the full product lifecycle — from discovery and requirements gathering to delivery and iteration — in collaboration with engineers, designers, and data scientists.Exposure to AI/ML product delivery, with enough understanding of data science and engineering principles to work effectively with technical teams and spot potential risks or dependencies.Strong communication and stakeholder engagement skills, able to build credibility and influence decisions through structured reasoning and data-driven insights.Familiarity with feature prioritisation and trade-offs, balancing customer needs, commercial outcomes, and technical feasibility.A collaborative, proactive approach with the ability to work in ambiguous situations and adapt to changing priorities.A growth mindset and appetite to learn, with a willingness to be coached and developed into a senior product leader.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Build AI Systems That Make Finance Simpler, Smarter, and More InclusiveAt BJAK, we’re using AI to transform how millions of people across Southeast Asia access, understand, and afford insurance and financial services. As an Software Engineer Intern, you’ll help architect and build intelligent systems - from fraud detection and personalized recommendations to smart automation and search - that power this mission.This role is based in Malaysia with a hybrid work arrangement - combining flexible remote work with in-office collaboration at our Kuala Lumpur HQ. You’ll work closely with regional teams across product, engineering, and data to build and scale impactful AI solutions.RequirementsBachelor’s Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or related fields with strong fundamentals in algorithms, data structures, and mathematics (linear algebra, probability, and statistics).Passionate about AI, machine learning, and problem-solving.Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, NumPy, and Pandas.Knowledge of machine learning concepts, including supervised/unsupervised learning, model training, and evaluation.Familiar with data preprocessing, feature engineering, and model optimization.Understanding of API integration for deploying AI/ML models (e.g., FastAPI, Flask, or similar).Basic knowledge in data visualization tools (e.g., Matplotlib, Seaborn, Plotly) and SQL or NoSQL databases.Bonus: Experience with NLP, computer vision, reinforcement learning, or AI workflow automation. ResponsibilitiesApply your knowledge and experience in a real business setting in a tech startupBe part of challenging assignments and internal projectsAssist in any technical related matterPerform other related functions that may be assigned by your managerResponsible for ad-hoc assignment, function and other related duties specified by your managerBenefitsDo something meaningful; Be a part of the future of finance technology and the no.1 company in the industry!Fast moving, challenging and unique business problemsInternational work environment and flat organizationGreat career development opportunities in a growing companyTeam culture - highly practical and results orientedFlexible working hours & arrangementCasual work attireHybrid working arrangementOur Team & CultureWe’re a lean, high-performance team that moves fast and holds a high bar. Titles don’t matter here - output, integrity, and ownership do. Everyone is expected to roll up their sleeves, contribute meaningfully, and take initiative.We reward people who think like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, this is your kind of environment.About BJAKBJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems. If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.

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This role focuses on enabling custom models and dedicated inference on Together. We are responsible for optimizing autoscaling, minimizing cold starts, achieving the best end-to-end model performance, and providing a best-in-class developer experience with great tooling. Required Qualifications 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices Experience running serverless inference platforms, doing model bring-up on short notice, being on call, or general cloud provider is a very big plus Good taste and ability to thoughtfully discuss how what you’ve built has failed over time Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources Excellent understanding of low level operating systems concepts including concurrency, networking and storage, performance and scale Expert-level programmer in one or more of Golang, Rust, Python, C++, or Haskell Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform Experience with Kubernetes or other container orchestration systems Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience Writing-heavy roles or companies are a plus Key Responsibilities New hires may work on multi-cluster orchestration, portfolio optimization, predictive autoscaling, control panes, model bring-up, light model optimization, APIs for managing deployments, inference worker SDKs, and CLI tools. Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure Partner with product teams to understand functional requirements and deliver solutions that meet business needs Write clear, well-tested, and maintainable software and IaC for both new and existing systems Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $250,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy  

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About Together AI Together AI is a research-driven AI company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Role Overview As an early career Software Engineer, you’ll work on a variety of projects, from designing scalable systems, building product features, to optimizing performance-critical code. You’ll collaborate with cross-functional teams to build robust, user-focused solutions and contribute to our mission of delivering cutting-edge technology. This role is ideal for recent graduates with a strong foundation in software development and a passion for learning. Responsibilities Design, develop, and maintain high-quality software across our tech stack from low-level system to customer-facing UIs Collaborate with product managers, designers, and engineers to deliver features and improvements. Write clean, efficient, and well-documented code with a focus on maintainability. Participate in code reviews, debugging, and performance optimization. Contribute ideas to shape the direction of our products and technical infrastructure. Learn and adapt to new tools, technologies, and frameworks as needed. Qualifications Bachelor’s degree (or equivalent) in Computer Science, Software Engineering, or a related field, earned or expected by Summer 2026. Excellent programming skills Experience with version control systems (e.g., Git) and collaborative development workflows. Ability to solve problems creatively and communicate trade-offs effectively. Enthusiasm for learning and thriving in a fast-paced, collaborative environment. Bonus: Experience with web development, databases, distributed systems, or cloud platforms, OSS contributions. We encourage all passionate new grads to apply, even if you don’t meet every qualification. Join us in building the future! About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $150,000 - $200,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamThe Security Engineering team at Decagon protects the platform that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. We build the security foundations that enable Decagon's AI agents to handle sensitive customer data with trust while defending against sophisticated, AI-enabled threats at massive scale.Our mission is to provide magical support experiences — ensuring that AI agents and human agents can collaborate safely to help users resolve their issues while maintaining the highest standards of security and privacy.About the RoleLead the application security strategy and implementation for Decagon AI's conversational platform that serves enterprise customers at scale. You'll partner with engineering teams to build security directly into our AI-powered applications, ensuring protection against application-layer threats while maintaining the performance and reliability our customers expect. This role offers the opportunity to apply deep application security expertise to AI systems and shape security practices across our rapidly growing engineering organization.In this role, you willDesign and implement application security controls across our AI agent platform, including secure coding practices, threat modeling, and vulnerability management.Collaborate closely with product engineering teams to integrate security throughout the software development lifecycle, from design, coding, PR, and deploymentEstablish application security testing programs including static analysis (SAST), dynamic analysis (DAST), and interactive testing (IAST) tailored for AI applicationsLead security code reviews and architecture assessments for new features, with special focus on AI model integration points and customer data handlingBuild security tooling and automation to enable developers to identify and remediate vulnerabilities quickly while maintaining development velocityRespond to security incidents involving application vulnerabilities, coordinating remediation efforts and post-incident improvementsYour background looks something like thisHave 5+ years of hands-on application security engineering experienceExpertise in secure software development practices, including threat modeling, secure code review, and vulnerability assessmentStrong software engineering background with ability to review code across multiple languages and frameworks commonly used in AI/ML applicationsExperience implementing application security testing tools and integrating security into CI/CD pipelinesKnowledge of OWASP Top 10, common application vulnerabilities, and modern application security frameworksProven track record working with engineering teams to remediate security findings while balancing security and business requirementsEven betterExperience securing AI/ML applications, including prompt injection, model extraction, and adversarial input protectionsBackground with large-scale, multi-tenant SaaS applications handling sensitive customer dataFamiliarity with Google Cloud application security services and container security best practicesKnowledge of enterprise compliance requirements (SOC 2, ISO 27001, GDPR) from an application security perspectiveExperience with modern security tools like Semgrep, CodeQL, Cursor Bug Bot, XBOW, or similarBenefits:Medical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation $240K – $330K + Offers Equity