AI Software Engineer Jobs

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About Anthropic 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.About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to financial institutions across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with banks, insurance companies, and financial research institutions. You'll leverage your consultative sales expertise in the financial services sector to propel revenue growth while becoming a trusted partner to financial stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in banking, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with financial decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the financial services sector. Navigate complex financial institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to financial services procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze financial market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within financial departments, research centers, and administrative offices. Collaborate cross-functionally to differentiate our offerings for financial applications Navigate complex financial stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from financial users and conveying financial market needs. Provide insights that strengthen our value proposition for financial services Continuously refine the financial services sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 8+ years of B2B sales experience specializing in financial services technology, with proven expertise in SaaS platforms, API solutions, and emerging technologies A track record of managing complex sales cycles within financial institutions and securing strategic deals by understanding both technical requirements and financial use cases Demonstrated ability to navigate financial bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within financial services procurement frameworks and policies Proven experience exceeding revenue targets in the financial services sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various financial audiences, from analysts and researchers to senior executives Deep understanding of financial services buying cycles, decision-making processes, and key pain points A strategic, analytical approach to assessing the financial services market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in financial services. You feel strongly about ensuring frontier AI systems are developed safely and ethically for financial use The expected salary range for this position is:Annual Salary:£195,000—£280,000 GBPLogistics 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. How we're different 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. Come work with us! 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 our policy for using AI in our application process

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You want to operate at the cutting edge of AI, leading groundbreaking developments in AI safety and security for global impact. As a Product Manager at Lakera, you will drive implementation of features for our flagship GenAI security platform, Lakera Guard. This role will Product Manage our Guard Applications team, focused on the core API & UI experience of Lakera Guard.From conducting comprehensive research to deeply understand our users’ and customers’ pain points, to crafting and implementing a product vision, your efforts will be instrumental in shaping the forefront of the new AI security space, ensuring that Lakera Guard not only meets but exceeds the evolving demands of AI technology and its users. What you’ll doHelp improve and create new security products that keep AI agents safe and secure.Collaborate with product and company leadership to align our Lakera Guard application strategy with the company’s overall business goals and objectivesDevelop a comprehensive and prioritized roadmap based on use cases from customer feedback, market research, and data analysisWork closely with cross-functional teams, including engineering, UX/UI design, and marketing, to deliver high quality products that exceed customer expectations.Conduct customer interviews, gather feedback, and gain a deep understanding of customer pain points to inform feature development and enhance the user experience. Spend enough time with our customers and prospects to deeply understand their problems and challengesCollaborate with the leadership, sales, and marketing to develop compelling product messaging, positioning, and go-to-market strategiesDrive success in 0 to 1 products and features - create and launch exciting products and then iterate based on early customer feedback.Support the CSM and sales team in customer engagements, providing technical expertise and product knowledge as needed. What you’ll bring4-8+ years experience in enterprise SaaS Product Management, preferably in the application security or broader cybersecurity marketBachelor's or Master's degree in Computer Science, Cybersecurity, or a related technical field. An MBA or equivalent is a plus.Strong understanding of application security fundamentalsStrong understanding of generative AI, Large Language Models, and AI agents. Experience in prompt engineering and evaluation in a production system is a plus.Excellent leadership, communication, and collaboration skills, with the ability to work effectively across cross-functional teams globally, including engineering, UX, and marketing.Previous ownership of the end-to-end delivery of software that has demonstrably had a significant impact on enterprise customersDemonstrated ability to deeply understand and solve problems for technical users and buyers (e.g. developers, security teams, or infrastructure teams)Experience in driving product improvements through rapid experimentation and iteration in an enterprise context and with globally distributed development teams.You aspire to play a pivotal role in defining the future of secure AI within a mission-driven company with ambitious goals.You take full ownership of the work and product you are responsible for We encourage you to apply even if your experience doesn’t precisely match the job description, particularly if your career has taken an extraordinary path.👉 Let's stay connected! Follow us on LinkedIn, Twitter & Instagram to learn more about what is happening at Lakera.ℹ️ Join us on Momentum, the slack community for AI Safety and Security everything.❗To remove your information from our recruitment database, please email privacy@lakera.ai.

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About Us Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful.  Why Join Us As a Software Development Engineer – CCaaS at Observe.AI, you’ll play a key role in shaping how our platform connects with leading Contact Centre-as-a-Service (CCaaS) providers. You’ll design, build, and deploy scalable integrations that power seamless customer experiences, enabling enterprises to get the most value from our AI-driven solutions. This is a role where you’ll work at the intersection of cutting-edge AI and mission-critical contact center technologies, directly influencing how millions of customer interactions are transformed every day What you’ll be doing Lead feasibility and architecture design: Analyse customer CCaaS platform capabilities, perform technical feasibility studies, and identify optimal integration mechanisms (e.g. SIPREC, APIs, WebSockets). Author technical specifications: Create detailed solution architecture diagrams , integration design documents, and execution plans tailored to each customer environment. Build and validate PoCs: Develop prototypes and proof-of-concepts for new CCaaS integrations to de-risk delivery and validate functional compatibility. Implement and deploy integrations: Write clean, scalable code to support real-time call/audio event ingestion; deploy and monitor integrations in cloud production environments. Act as an escalation point: Troubleshoot and resolve complex technical issues during integrations, collaborating directly with customer teams where needed. What you'll bring to the role Hands-on backend development experience ( Java, Spring Boot, etc.) and cloud-native products Experience working with RestAPI, WebSockets, WebHooks, and WebRTC technologies Inclination to work on telecom/network domain-specific activities ( Comprehending CCaaS vendor documentation, Customer Network Topologies, etc.) Strong knowledge of networking fundamentals (TCP/IP, firewalls, load balancers) and operating systems Skilled with debugging tools like Wireshark, Postman, and log analysers Excellent troubleshooting and root-cause analysis capabilities Additional Skills Hands-on experience integrating with UCaaS/CCaaS platforms ( Genesys, NICE, CXone, Five9, AWS Connect, Avaya, Twilio ) Deep understanding of telecom protocols such as SIP, SDP, RTP, SIPREC, and media stream capture Experience with cloud deployments ( AWS, GCP, Azure ) and observability tooling ( Grafana, Prometheus, ELK ) Exposure to SBCs ( Session Border Controllers ) and telecom compliance requirements Prior experience working with or contributing to real-time AI applications ( Agent Assist ) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.  

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role As Bid Manager at Helsing, you will play a pivotal role in advancing our mission to revolutionise defence and national security through cutting-edge AI technology. By leading the development and submission of strategic proposals, you'll be instrumental in securing partnerships and projects that expand our impact in safeguarding societies. Your ability to coordinate agile teams and shape compelling narratives will directly support Helsing's mission to provide advanced solutions that empower decision-makers in critical environments. This position not only influences our growth trajectory but also contributes to our overarching goal of creating a safer and more secure world through technological innovation The day-to-day Coordinate the end-to-end development of proposals, ensuring alignment with client requirements and showcasing Helsing's innovative AI solutions effectively. Work closely with sales, technical, and operational teams to gather necessary information and ensure all proposal components meet strategic, technical, and compliance standards. Oversee the bid timeline, manage resources, and ensure submission deadlines are met, using project management tools and methodologies to maintain organization. Conduct ongoing research to understand client needs, competitive landscapes, and market trends, using insights to tailor proposals and strategies. Ensure all bid components meet legal, compliance, and regulatory standards, identifying potential risks and developing mitigation strategies. Regularly update leadership on bid progress and outcomes, and conduct post-bid evaluations with teams to refine processes and strategies for future opportunities. Continuously seek improvements and innovations in the bidding process, enhancing efficiencies and increasing the strength and competitiveness of proposals. You should apply if you You thrive in crafting and executing strategies that align with both short-term objectives and long-term vision, making a tangible impact on business growth. You are excited by the opportunity to work on cutting-edge AI technology projects that contribute to national defence and security. You excel in dynamic environments and enjoy collaborating with cross-functional teams to gather insights and build cohesive, winning proposals. You have a knack for managing complex projects, ensuring all aspects from compliance to timelines are meticulously handled. You are adept at researching market trends and client needs to develop proposals that are both strategic and competitive. You can thrive in a fast-paced startup environment and remain flexible to adjust to changing priorities and opportunities. You are motivated by contributing to a mission that aims to create a safer and more secure world through technological advancement. Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe   Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Product Marketing Manager/Associate (Personalization/Data Cloud) Location: Tokyo About Appier Appier is a technology company which aims to provide artificial intelligence platforms to help enterprises solve their most challenging business problems. Appier was established in 2012 by a passionate team of computer scientists and engineers with expertise in AI, multi-agent, data analysis, distributed systems, and marketing. About The Product Marketing Team The product marketing team at Appier is under the Growth and Marketing organization, working closely with product, sales, and customer success teams to drive awareness and adoption. About this role As a Product Marketing Manager, you will play a crucial role in driving the success of Enterprise Solution's go-to-market strategy in different markets, including Japan, South Korea, Taiwan, Hong Kong, and Southeast Asia, and ensuring the continued growth and adoption of our cutting-edge AI-powered solutions. You'll be a key storyteller for Appier, bringing the value of data and personalization to life across all internal and external channels by owning the vertical go-to-market strategy, building competitor playbooks, delivering global training, and being a public figure for the company. Responsibilities Develop and execute go-to-market strategies for Personalization and Data Cloud products by working closely with cross-functional teams such as product management, sales, and customer success.  Conduct market research and competitive analysis to identify customer needs, market trends, and growth opportunities. Develop and maintain a deep understanding of the company's products and services, as well as the target audience and buyer personas. Craft compelling value propositions and messaging that differentiate the company's products in the market and resonate with target audiences. Collaborate with sales teams to develop sales enablement materials, such as presentations, case studies, and product demos. Partner with the broader marketing team to execute marketing tactics that drive awareness and new client meetings. Qualifications [Required] Bachelor's degree in Marketing, Business, or a related field with 2-3 years of experience in (product) marketing or a related role Excellent written and verbal communication skills in Japanese and English, with the ability to craft compelling messaging and tell engaging stories. Experience in creating sales enablement materials, such as sales decks and case studies. Agile and adaptable mindset, with the ability to thrive in a fast-paced, dynamic environment. Proactive and self-driven with a strong attention to detail and the ability to manage multiple projects simultaneously. An appetite for collaboration, driven by the belief that your success is dependent on the success of others around you Enjoyment talking to customers and personally going and testing and figuring out positioning that works Taste for beautiful design, good copy, and attention to detail [Nice to have] Relevant experience in digital marketing roles. Proficiency in additional languages besides English. Experience in B2B marketing or enterprise software solutions. Strong project management skills and the ability to prioritize tasks effectively. A passion for continuous learning and professional development in the field of marketing. Ability to thrive in ambiguity and navigate through complex challenges. A collaborative and team-oriented mindset, with a willingness to support and contribute to the success of the team as a whole. #LI-BD1 #LI-Hybrid

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleWe’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.Although every project is unique, you might typically: Designing structured test scenarios based on real-world tasks Defining the golden path and acceptable agent behavior Annotating task steps, expected outputs, and edge cases Working with devs to test your scenarios and improve clarity Reviewing agent outputs and adapting tests accordingly How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.  You have 3+ years of experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleWe’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.Although every project is unique, you might typically: Designing structured test scenarios based on real-world tasks Defining the golden path and acceptable agent behavior Annotating task steps, expected outputs, and edge cases Working with devs to test your scenarios and improve clarity Reviewing agent outputs and adapting tests accordingly How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.  You have 3+ years of experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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About WisprWispr Flow is making it as effortless to interact with your devices as talking to a close friend. Voice is the most natural, powerful way to communicate — and we’re building the interfaces to make that a reality.Today, Wispr Flow is the first voice dictation platform people use more than their keyboards — because it understands you perfectly on the first try. It’s context-aware, personalized, and works anywhere you can type, on desktop or phone.Dictation is just our first act. We’re building the interaction layer for your computer — a system that’s capable, understands you, and earns your trust. It will start by writing for you, then move to taking actions, and ultimately anticipate your needs before you ask.We’re a team of AI researchers, designers, growth experts, and engineers rethinking human-computer interaction from the ground up. We value high-agency teammates who communicate openly, obsess over users, and sweat the details. We thrive on spirited debate, truth-seeking, and real-world impact.This year, we've grown our revenue 50% month-over-month and with our latest $30M Series A, this is just the beginning.About the RoleAs VP engineering at Wispr, you’ll direct the engineering team in building the first capable, habit forming voice interface that scales to a billion users. You will help scale the product engineering, mobile, backend, and ML engineering teams from 10 to 100 people. Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world, and scaling the personalization of our speech models and LLMs.What are we looking for?Experience building and scaling teams from 20 to 100 peopleCultural alignment with Wispr: high agency, open communicator, detail oriented, and user obsessedCan build a culture that’s thoughtful, aggressive, innovative on the eng teamAble to increase the velocity and predictable delivery of an engineering teamProduct minded for a prosumer interfaceFluency in Typescript, React, and PythonAptitude and clarity of thoughtCreativity, excellence in engineering, and code velocityWe consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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About ClarionAt Clarion, we're rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30-40% of patient calls while staff drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care.We're building the communication infrastructure that modern healthcare desperately needs. Our AI agents don't just answer calls; they complete entire workflows end-to-end, giving providers back their time and ensuring patients never go unheard. We've already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company.Founded by a Stanford/Harvard-trained physician who was on the founding team of Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication.We've raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York, moving fast to ensure no patient call goes unanswered.Why Join Us?Early-stage with strong market validation: We are rapidly growing and offering the high-impact environment of an early-stage startupSolving a massive healthcare challenge: We're addressing a critical problem in healthcare communication that affects millions of patientsCutting-edge tech frontier: You'll design both visual and voice experiences for breakthrough AI technology that's transforming healthcare communicationIn-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage—we move faster, build stronger bonds, and create a cohesive cultureWhat you'll be working onOwn our entire design language: Define Clarion's brand identity across all touchpoints—from marketing website to product interfaces to sales materials—ensuring we stand out in healthcareDesign AI voice experiences that feel human: Craft conversation flows, dialogue scripts, and interaction patterns that make our AI agents sound natural, empathetic, and trustworthy to patientsCreate intuitive product interfaces: Build dashboards and tools that make complex AI capabilities feel simple for overwhelmed healthcare teamsBridge the visual and auditory: Design cohesive experiences where what customers see perfectly complements what patients hear during AI conversationsBuild our design system from scratch: Establish visual guidelines, component libraries, and voice interaction patterns that scale as we growShip brand experiences at startup speed: Create everything from pitch decks to product demos to conference materials that make healthcare buyers stop and pay attentionRequirements3+ years of design experience: Portfolio showing both brand and product design work, with ability to create cohesive experiences across mediumsFull-stack designer: Comfortable moving from brand strategy to UI design to copywriting within the same daySystems thinker: Can create scalable design frameworks for both visual and conversational interfacesFigma fluent: Expert-level proficiency in design tools, with ability to create everything from logos to prototypesIn-person collaboration: Excited to work from our NYC office dailyYou are a good fit ifYou believe great design spans all senses—what people see, hear, and feel when interacting with a productYou're fascinated by making AI conversations feel natural and human, not robotic or scriptedYou can write copy that sounds like a compassionate healthcare worker, not a tech companyYou want to own both how Clarion looks and how it sounds to millions of patientsYou're excited to define a brand that stands out in the sea of sterile healthcare techYou measure success by both user delight and business impactInteresting Design ChallengesMake AI feel human: Design voice scripts and interfaces that help patients trust they're getting real help, not talking to a robotSmooth handoffs between AI and staff: Create seamless transitions when a conversation needs to move from AI to a human without confusing or frustrating the patientSimplify complex healthcare workflows: Turn chaotic medical processes into clean, intuitive designs that busy staff can use without trainingShow conversations clearly: Design dashboards that help staff quickly understand what happened in AI-patient calls and spot important issuesGive staff the right amount of control: Build systems that let healthcare teams oversee AI agents without creating extra work or slowing things downConnect what's heard with what's seen: Make sure the AI's voice conversations match perfectly with what staff see on their screensWhat we offerDirect mentorship: Work closely with our founding team and shape both product and brand direction from day oneMeaningful equity: Early employee stock options with significant ownership potentialComprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, daily team lunchesTeam culture: Quarterly retreats and monthly team events that build real connections in our close-knit NYC teamImpact at scale: Your designs—both visual and voice—will directly improve healthcare access for millionsInterview ProcessWe'll get back to you within 24 hours after each step:First Chat (20 min) [Virtual]: Quick conversation about your design philosophy and experience in complex product spacesPortfolio Review (45 min) [Virtual]: Walk us through 2-3 projects that showcase your design process from research to shipped productDesign Exercise (Take-home): Tackle a real challenge we're facing around AI-patient communication interfacesTeam Day (Half-day) [In-Person]: Visit our NYC office for a collaborative design session, meet the team, and see how we work togetherIf you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you.

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AI Researcher Job DescriptionAt AGI Inc., we're not just redefining AI-human interaction—we're creating a world where humans and AI amplify each other's potential. Leveraging breakthrough agentic reasoning capabilities, we aim to bring genuinely useful AGI into everyday life. Backed by years of research, AGI Inc. is pioneering the large-scale deployment of intelligent Consumer AI Agents that simplify, streamline, and elevate everyday experiences.Our team comprises elite ex-entrepreneurs, AI researchers, and product experts from Stanford, Berkeley, Nvidia, and DeepMind, supported by top investors in Silicon Valley. Our founder, Div Garg, is a Stanford AI PhD dropout and previously founded MultiOn, a leading AI Agent startup that introduced browser agents to the world, supported by General Catalyst, Forerunner, Samsung, and Amazon.At AGI Inc., we believe in fusing human insight with cutting-edge AI to craft experiences that are as intuitive as they are groundbreaking, paving the way toward everyday AGI. Our agentic products feel like a natural extension of who you are—an ever-present partner for ideas, projects, and solutions.About the RoleAs an AI Researcher at AGI Inc., you'll be at the forefront of developing novel algorithms and techniques for our browser-based intelligent agents. You'll bridge the gap between theoretical AI research and practical product applications, working on challenges that push the boundaries of what browser agents can accomplish. Your research will directly influence our product roadmap and contribute to the scientific community through publications and open-source contributions. This role offers a unique opportunity to work in an environment that values both academic rigor and real-world impact.Key ResponsibilitiesPioneer Novel Research: Lead research initiatives in areas such as reinforcement learning, multi-agent systems, and natural language understanding to enhance our browser agents' capabilities.Translate Research to Products: Work closely with engineering and product teams to implement research findings into products that deliver tangible value to users.Contribute to the Scientific Community: Publish high-quality research papers at top AI conferences (NeurIPS, ICML, ICLR, ACL) and participate in the open-source AI ecosystem.Develop Technical Roadmaps: Help define our technical research strategy, identifying promising areas that align with our product vision.Mentor and Collaborate: Work with and mentor other researchers and engineers, fostering a culture of scientific excellence and innovation.QualificationsEducation: MS or PhD in Computer Science, Machine Learning, AI, or a related technical field from a top university. Exceptional candidates with bachelor's degrees and equivalent research experience will also be considered.Research Experience: Demonstrated research experience in machine learning, NLP, reinforcement learning, or multimodal systems, evidenced by publications, open-source contributions, or impactful projects.Technical Skills: Strong programming skills in Python and experience with deep learning frameworks (PyTorch, TensorFlow). Familiarity with large language models, web technologies, and browser automation is a plus.Problem-Solving: Exceptional analytical thinking and creativity in approaching complex AI problems with novel solutions.Communication: Ability to explain complex technical concepts clearly and collaborate effectively with cross-functional teams.Startup Mindset: Enthusiasm for fast-paced environments, comfort with ambiguity, and a desire to build products that millions of people will use.Why Join Us?Dual Impact: Contribute to cutting-edge AI research while seeing your work directly impact products used by real people.Resources: Access to substantial compute resources, large datasets, and the latest AI technologies to support your research.Autonomy: Freedom to pursue research directions aligned with our mission, with less bureaucracy than traditional research labs.Equity: Competitive compensation package with significant equity, aligning your success with the company's growth.Community: Work alongside world-class researchers, engineers, and designers who are passionate about advancing the field of AI.How to ApplyWe'd love to see what you've built. Please include your resume, links to your publications or GitHub repositories, and a brief research statement outlining your interests and how they align with our mission.We can't wait to see your contributions to AI—and to welcome you to the AGI Inc. team!

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Join Our Mission to Revolutionize Healthcare Smarter Technologies is redefining how healthcare organizations leverage automation and AI to improve efficiency, compliance, and patient outcomes. Our advanced AI-powered Revenue Cycle Automation platform enables providers to streamline and enhance their core business operations. We're looking for an exceptional Compliance and Risk Manager to lead our enterprise-wide compliance and risk management programs. As the Compliance and Risk Manager at Smarter Technologies, you will develop, implement, and oversee a comprehensive compliance program that ensures adherence to HIPAA, HITRUST, SOC 2, NIST, ISO 27001, and other relevant regulations and frameworks. This is a senior leadership role responsible for driving risk mitigation strategies, guiding cross-functional teams on compliance best practices, and ensuring we maintain the trust of our customers, partners, and regulators. As our Compliance and Risk Manager, you will lead with visionary insight at the nexus of compliance, risk, and cutting-edge AI in healthcare. You'll craft governance frameworks that harmonize innovation with ethical accountability, mastering challenges like PHI protection in AI-driven environments. By pioneering transparent, bias-free algorithms and robust data privacy practices, you'll surpass regulatory standards while fueling business growth. Proactively shaping our response to emerging AI governance trends, you'll establish Smarter Technologies as a beacon of trust in responsible AI adoption. Your strategic leadership will redefine compliance as a dynamic catalyst, building stakeholder confidence and accelerating innovation in a highly regulated landscape. Key Responsibilities Design and lead a dynamic, company-wide compliance program aligned with HIPAA, HITRUST, SOC 2, NIST, ISO 27001, and emerging AI governance standards, ensuring ethical and innovative PHI management. Conduct comprehensive risk assessments, mitigating compliance, operational, and AI-specific risks like bias, explainability, and PHI re-identification, in line with HIPAA and HHS AI guidelines. Oversee internal and external audits, driving timely remediation and maintaining audit readiness with minimal findings. Develop and harmonize policies, procedures, and controls across business units, embedding AI ethics and de-identification protocols to prevent ePHI exposure in AI-driven processes. Act as the primary liaison with regulators, auditors, and assessors, fostering trust and alignment on compliance priorities. Guide and train teams on compliance best practices, emphasizing AI governance and AMA Principles for Augmented Intelligence. Report compliance status, risks, and metrics to senior leadership and the board, translating complex requirements into strategic insights. Proactively adapt programs to evolving laws, regulations, and industry standards, positioning compliance as a competitive advantage. What Success Looks Like A compliance program exceeding HIPAA, HITRUST, SOC 2, NIST, ISO 27001, and AI governance standards, driving innovation while securing PHI. Unified compliance practices across all business units, enforcing AI ethics and PHI de-identification to ensure trust and efficiency. Audit readiness with zero material findings, delivering immediate remediation in a high-growth startup environment. Cross-functional alignment that embeds compliance in AI-driven solutions, enabling rapid scalability. A culture where compliance accelerates innovation, establishing the startup as a leader in trusted healthcare technology. Minimum Qualifications 10+ years of experience in compliance, risk management, or information security, with a focus on regulated environments Proven experience building and leading compliance programs that align with HIPAA, HITRUST, SOC 2, NIST, and ISO 27001 Strong track record managing internal and external audits Experience collaborating with regulators and third-party auditors Excellent written and verbal communication skills with the ability to translate complex regulations into clear operational requirements Strong leadership and influencing skills, with experience driving change across diverse teams Bachelor's degree in law, business administration, information security, or a related field; advanced degree or relevant certifications (CCEP, CISA, CISM, CISSP) preferred Bonus Points Led compliance in high-growth healthcare or tech startups, securing AI and PHI operations. Built compliance into DevOps, cloud, and AI platforms, delivering secure, scalable systems. Mastered AI governance and healthcare tech regulations Why Smarter Technologies? Competitive compensation Equity participation: Employee Stock Options Health benefits: Comprehensive medical, dental, and vision insurance Time off: Generous leave policies and paid company holidays California Salary Range $180,000—$225,000 USD

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is looking for creative engineers to own and launch delightful user facing features. In a rapidly growing startup, this entails developing ideas with product managers and designers to best balance engineering constraints with requirements, delivering intuitive experiences that run in modern mobile and desktop browsers. You will: Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond Revolutionize the current experience by incorporating AI into the product Provide leadership and mentor more junior engineers Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions Architect REST APIs that are backed by stable, scalable server side implementations and maximize web client flexibility for rapidly meeting evolving product requirements Write robust code that’s efficient, easy to read, maintain and test About You: 5+ years of experience in product engineering with 2 years as a TL/M BA/BS in computer science, or related degree Experience of building and shipping scalable features across frontend and backend Thrive in a customer-focused, tight-knit and cross-functional environment A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features A user-centric and empathetic mentality for building products Experience on a consumer grade web app frontend, preferably React based Love authoring easy-to-hold and future-proof REST APIs, OpenAPI is a plus Experience building distributed CRUD level functionality, ideally both SQL and NoSQL Comfortable in or desire to master Golang, Java and TypeScript Location: This role is hybrid (3 days a week in one of our Bay Area offices) Compensation & Benefits: The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-HYBRID

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Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than DeepgramNote: this role is based out of the APAC territory.OpportunityDeepgram is expanding across APAC and operating a follow-the-sun model. We are hiring a Pre-sales Solutions Engineer in APAC to win complex technical evaluations, design clear solution paths, and drive repeatable adoption for strategic accounts. Our strategic Account Executives do not hand off their customers after the first sale, so you will partner long term across discovery, POC, production launch, and expansion. You will focus on pre-sales, and you will often step into post-sales style work when the stakes are high and continuity matters.About Applied Engineering at DeepgramApplied Engineering blends what many companies split into Solutions Engineering, Architecture, Consulting, and Senior Technical Support. We are builders and communicators who bridge sales and engineering. We help customers move from problem to production with speed, clarity, and measurable outcomes.What You Will DoLead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs.Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.Run security and compliance threads common in APAC. Prepare crisp responses for Singapore PDPA, Japan APPI, Korea PIPA, Australia’s Privacy Act, and India’s DPDP Act.Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.Enable the field. Collaborate with AEs, CSMs, and partners on positioning, demos, and technical validation for priority use cases.Regional ExpectationsBased in an APAC time zone with strong overlap to customer business hours across East Asia, Southeast Asia, and ANZ.Excellent written and spoken English. Additional Asian languages are a strong plus, especially Japanese, Korean, Mandarin, or Hindi.Familiarity with procurement, InfoSec, and data privacy expectations across APAC.Ability to travel within the region for key customer milestones. Estimated travel 10 to 20 percent.Your First 90 DaysRamp approach for this role Ramping mirrors the Solutions Architect plan, with explicit ticket work and earlier support for strategic Account Executives. In the first weeks you will pick up low-risk customer tickets to learn our systems and support flow, then progress to pre-sales escalations tied to active evaluations.First 30 daysRamp on Deepgram’s product surface area, platform APIs, SDKs, evaluation methodology, and security review materials.Shadow strategic discovery and POC calls across APAC time zones.Triage and resolve low-risk tickets with a Solutions Architect or Support partner. Focus on reproductions, log and trace collection, SDK setup issues, and clear notes and handoffs.Publish one internal field guide that clarifies a common APAC pre-sales topic (for example data residency, telephony capture, or evaluation metrics).By day 60Own two evaluations end to end with defined success criteria and timelines.Serve as the named technical partner for one or two strategic AEs. Run weekly technical deal reviews and prepare objection-handling packs.Take point on higher-signal tickets related to your evaluations, coordinating fast fixes with Product, Engineering, and Support.Deliver one live demo that becomes a reusable asset for the region. Pair with a Solutions Architect on a production launch to learn handoffs and escalation paths.By day 90Act as the primary pre-sales technical owner for several opportunities and expansions within strategic accounts.Close at least one complex technical win with a measurable impact on revenue.Lead one customer architecture workshop that documents a reference plan for production rollout or expansion.Convert repeated ticket patterns into a runbook, sample, or accelerator and present a short readout on the impact.You Will Thrive Here If YouEnjoy the mix of customer conversations and hands-on building.Can move from whiteboard to working code and back without losing the thread.Communicate clearly with executives and deeply with engineers.Value speed with rigor and crisp documentation.Like winning together across regions and functions.Minimum Qualifications5 or more years in Solutions Engineering or a similar customer-facing technical role focused on pre-sales.Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python, or Rust. You can build POCs and tools that real users run.Hands-on experience with modern cloud platforms. Comfortable with Docker, Kubernetes, networking fundamentals, and secure API design.Proven track record leading POCs for enterprise customers and earning the technical win.Clear written and verbal communication across both technical and executive audiences.Preferred QualificationsExperience with speech recognition, TTS, voice quality analysis, or AI agents that orchestrate LLMs.Familiarity with telephony and real-time media concepts such as SIP, WebRTC, streaming, and WebSocket integrations.Experience with self-hosted and hybrid deployments, including Helm-based installs and production observability.Strong understanding of authentication, authorization, and data residency topics that appear in APAC enterprise reviews.Fluency in an additional Asian language such as Japanese, Korean, Mandarin, or Hindi.How We WorkRemote across APAC with periodic regional meetups.Close partnership with AEs, SAs, Product, and Engineering to support continuous coverage across APAC, EMEA, and the Americas.Shared playbooks, defined escalation paths, and measurable SLAs.Interview ProcessRecruiter screen focused on experience, motivations, and logistics.Hiring manager conversation focused on technical depth and customer impact.Practical assessment that mirrors real work. Expect discovery, solution design, and a short hands-on exercise.Panel interviews with cross-functional partners.Live demo and architecture walkthrough of a past technical win. Show your approach to success criteria, trade offs, and outcomes.If this sounds like you, we would love to meet you!Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

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Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than DeepgramNote: this role is based out of the EMEA territory.The OpportunityDeepgram is expanding globally and building a true follow‑the‑sun model. We are hiring a Solutions Architect in EMEA to own complex post‑sales engagements, guide customers to production, and strengthen our technical support coverage for the region. You will work across the full customer lifecycle, with a primary focus on architecture, implementation, and Tier‑3 technical problem solving. You will also contribute to pre‑sales validation when deep technical credibility is needed, partner with Product and Engineering on feedback and roadmap, and help mature our global operations.About Applied Engineering at DeepgramApplied Engineering combines functions that other companies split across Solutions Engineering, Solutions Architecture, Consulting, and Senior Technical Support. We are the technical interface from first discovery through successful production and beyond. The team partners closely with Sales, Customer Success, Product, and DevRel to deliver an enterprise‑grade experience that is fast, clear, and outcome‑oriented.What You’ll DoLead architecture and implementation for enterprise deployments that use Deepgram’s speech‑to‑text, text‑to‑speech, and voice‑agent capabilities.Own post‑sales technical success for assigned accounts. Unblock integrations, optimize accuracy and latency, and guide customers to stable production.Serve as the Tier‑3 escalation point for complex issues. Drive root cause analysis, propose mitigations, and write durable fixes or automation when possible.Design reference architectures and implementation patterns for common EMEA customer use cases including contact centers, voice analytics, QA, and AI agents.Build high‑quality samples, internal tools, or scripts that make repeatable tasks easier for customers and for our team.Contribute to pre‑sales discovery and POCs when deep technical direction is needed. Translate business goals to a concrete plan with clear success criteria.Partner with Product and Engineering to prioritize fixes and features. Bring crisp customer signals that improve our roadmap.Contribute to knowledge systems. Capture runbooks, playbooks, and docs that scale your expertise across regions.Participate in an on‑call or incident rotation appropriate for the region and customer support tier. Help us meet or outperform regional SLAs.Regional ExpectationsBased in an EMEA time zone with reliable overlap to customer business hours.Excellent written and spoken English. Additional European languages are a strong plus.Familiarity with GDPR, data privacy expectations, and enterprise security reviews common across EMEA.Ability to travel within the region for critical customer milestones, estimated 10–20 percent.Your First 90 DaysFirst 30 daysRamp on Deepgram’s platform, APIs, SDKs, self-hosted deployments, and support practices. Shadow calls across pre-sales, post-sales, and support. Begin owning low-risk technical tasks for an active account and contribute improvements to runbooks or sample code.By day 60Own two to three customer workstreams end-to-end. Lead discovery for one new implementation or migration. Publish one reusable asset such as a deployment guide, Helm example, or troubleshooting playbook.By day 90Act as primary technical owner for several EMEA accounts in production. Close at least one complex investigation with measurable customer impact. Present a short readout on a repeated regional pattern and the automation or content you created to solve it.You’ll Thrive Here If YouEnjoy solving hard customer problems at the code, container, and cloud layers.Like translating messy real‑world constraints into clear architectures and plans.Are comfortable writing and reading production‑grade code, not just sample snippets.Value crisp documentation, reproducible runbooks, and operational excellence.Care about delivering outcomes, not just closing tickets.Minimum Qualifications5 or more years in Solutions Architecture, Solutions Engineering, or similar customer‑facing technical roles.Professional software engineering experience in at least one language such as Python, Rust, or JavaScript. You can build POCs and tools that real users run.Hands‑on experience with modern cloud platforms. Comfortable with containerization and orchestration, for example Docker and Kubernetes, and with secure network design for API‑driven systems.Proven ownership of complex post‑sales work such as production deployments, migrations, performance tuning, and incident response.Clear written and verbal communication across both technical and executive audiences.Preferred QualificationsExperience with speech recognition, TTS, or building voice agents that orchestrate LLMs.Familiarity with WER analysis, model selection and tuning, and accuracy‑versus‑latency tradeoffs.Experience operating self‑hosted systems, including Helm‑based deployments and observability for production services.Strong understanding of authentication, authorization, data residency, and compliance topics that appear in EMEA enterprise reviews.Fluency in an additional European language such as German, French, Dutch, Italian, or Spanish.How We WorkRemote across EMEA with periodic regional meetups.Collaboration with colleagues in the Americas and APAC to support continuous coverage.Shared playbooks, defined escalation paths, and measurable SLAs.Interview ProcessRecruiter screen focused on experience, motivations, and logistics.Hiring manager conversation focused on technical depth and customer impact.Technical assessment that mirrors real work. Expect practical coding, architecture discussion, and debugging.Panel interviews with cross‑functional partners.A presentation simulating a post-sales customer engagement, based on a provided case study. Additionally, you’ll be asked to present a past customer‑facing technical engagement that you led, including the problem, your approach, and measurable outcomes.If this sounds like you, we would love to meet you!Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

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Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than DeepgramNote: this role is based out of the EMEA territory.OpportunityDeepgram is expanding globally and operating a follow-the-sun model. We are hiring a Pre-sales Solutions Engineer in EMEA to win complex technical evaluations, design clear solution paths, and drive repeatable adoption for strategic accounts. Our strategic Account Executives do not hand off their customers after the first sale, so you will partner long-term across discovery, POC, production launch, and expansion. You will focus on pre-sales, yet you will often step into post-sales style work when the stakes are high and continuity matters.About Applied Engineering at Deepgram Applied Engineering blends what many companies split into Solutions Engineering, Solutions Architecture, Solutions Consulting, and Technical Support. We are builders and communicators who bridge sales and engineering. We help customers move from problem to production with speed, clarity, and measurable outcomes.What You’ll DoLead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs. Show, do not tell.Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.Run security and compliance threads common in EMEA. Prepare crisp responses for GDPR, ISO 27001, SOC 2, and vendor risk reviews.Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.Enable the field. Collaborate with AEs, CSMs, and partners on positioning, demos, and technical validation for priority use cases.Regional ExpectationsBased in an EMEA time zone with strong overlap to customer business hours.Excellent written and spoken English. Additional European languages are a strong plus.Familiarity with procurement, InfoSec, and data privacy expectations across EMEA, including GDPR and data residency.Your First 90 DaysIn the first weeks you will pick up low-risk customer tickets to learn our systems and support flow, then progress to pre-sales escalations tied to active opportunities and engagements driven by Account Executives or partners.First 30 daysRamp on Deepgram’s product surface area, platform APIs, SDKs, evaluation methodology, and security review materials.Shadow strategic discovery and POC calls.Triage and resolve low-risk tickets with a Solutions Architect or Support partner. Focus on reproductions, log and trace collection, SDK setup issues, and clear notes and handoffs.Publish one internal field guide that clarifies a common EMEA pre-sales topic (for example data residency, telephony capture, or evaluation metrics).By day 60Own two evaluations end to end with defined success criteria and timelines.Serve as the named technical partner for one or two strategic AEs. Run weekly technical deal reviews and prepare objection handling packs.Take point on higher signal tickets related to your evaluations, coordinating fast fixes with Product, Engineering, and Support.Deliver one live demo that becomes a reusable asset for the region. Pair with a Solutions Architect on a production launch to learn handoffs and escalation paths.By day 90Act as the primary pre-sales technical owner for several opportunities and expansions within strategic accounts.Close at least one complex technical win with a measurable impact on revenue.Lead one customer architecture workshop that documents a reference plan for production rollout or expansion.Convert repeated ticket patterns into a runbook, sample, or accelerator and present a short readout on the impact.You Will Thrive Here If YouEnjoy the mix of customer conversations and hands-on building.Can move from whiteboard to working code and back without losing the thread.Communicate clearly with executives and deeply with engineers.Value speed with rigor and crisp documentation.Like winning together across regions and functions.Minimum Qualifications5 or more years in Solutions Engineering or a similar customer-facing technical role focused on pre-sales.Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python, or Rust. You can build POCs and tools that real users run.Hands-on experience with modern cloud platforms. Comfortable with Docker, Kubernetes, networking fundamentals, and secure API design.Proven track record leading POCs for enterprise customers and earning the technical win.Clear written and verbal communication across both technical and executive audiences.Preferred QualificationsExperience with speech recognition, TTS, voice quality analysis, or AI agents that orchestrate LLMs.Familiarity with telephony and real-time media concepts such as SIP, WebRTC, streaming, and WebSocket integrations.Experience with self-hosted and hybrid deployments, including Helm-based installs and production observability.Strong understanding of authentication, authorization, and data residency topics that appear in EMEA enterprise reviews.Fluency in an additional European language such as German, French, Dutch, Italian, or Spanish.How We WorkRemote across EMEA with periodic regional meetups.Close partnership with AEs, SAs, Product, and Engineering to support continuous coverage across EMEA, the Americas, and APAC.Shared playbooks, defined escalation paths, and measurable SLAs.Interview ProcessRecruiter screen focused on experience, motivations, and logistics.Hiring manager conversation focused on technical depth and customer impact.Practical assessment that mirrors real work. Expect discovery, solution design, and a short hands-on exercise.Panel interviews with cross-functional partners.Simulated pre-sales engagement based on a case study, along with and architecture walkthrough of a past technical win. Show your approach to success criteria, trade offs, and outcomes.Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Introduction At Perplexity AI, the Sonar API powers AI-native search, retrieval, and automation for some of the world’s most innovative companies. Our Support team is the frontline for developer and enterprise success—ensuring that customers can build fast, reliable, and differentiated products on top of Sonar’s capabilities. We don’t just answer tickets—we partner deeply with customers, Product, and Engineering to architect solutions, debug complex integrations, and influence the roadmap based on real-world developer needs. About the Role We’re looking for a Customer Success Engineer to be a hands-on technical partner for our Sonar API customers. This is a deeply technical, customer-facing role—equal parts solution architect, developer advocate, and technical program manager. You’ll work end-to-end with developers, product teams, and executives at our customers’ organizations—from designing their Sonar-powered architecture to optimizing query performance and implementing new features. You’ll also contribute to internal tooling, docs, and demos that make Sonar adoption easier and more impactful. This role is ideal for TPMs, solutions engineers, or software engineers who have moved into customer-facing work but still want to build, prototype, and problem-solve daily. Key Responsibilities Serve as the dedicated technical partner for strategic Sonar API customers, guiding them through architecture design, integration, and optimization. Troubleshoot API performance, grounding quality, and integration challenges—diving directly into code and logs when needed. Prototype example integrations, search workflows, and demos to accelerate adoption and inspire customer innovation. Collaborate with Engineering and Product to resolve high-priority escalations, ensuring minimal downtime and maximum reliability. Capture and synthesize customer feedback to improve Sonar’s API features, SDKs, and developer experience. Maintain deep familiarity with Sonar’s latest capabilities, competitive positioning, and best practices, and use this knowledge to advise customers. What We’re Looking For Must-Haves 5+ years in technical support engineering, software engineering, or solutions engineering, with direct application development experience. Strong API integration skills—able to design and debug REST/JSON payloads, manage auth flows, and optimize latency. Proven track record of diagnosing complex technical issues across distributed systems, APIs, and customer environments. Excellent communicator who can work with both developer teams and non-technical stakeholders. Bachelor’s degree in Computer Science or equivalent hands-on experience. Nice-to-Haves Experience working with search, retrieval-augmented generation (RAG), or AI/ML APIs. Background in developer tools or platform engineering, especially in high-scale or low-latency environments. Strong familiarity with Python or JavaScript for building integrations, SDKs, or prototypes. History of working at startups or small teams where you owned customer projects end-to-end. Why Join Us The Sonar API is quickly becoming a core infrastructure layer for AI-powered search and automation. As a Customer Success Engineer, you’ll help shape how our customers—from startups to Fortune 500s—bring their most ambitious ideas to life. You’ll be joining a fast-moving, high-impact team where your technical skills, creativity, and ability to bridge product and customer needs will directly influence both Sonar’s roadmap and its market success. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.  

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview As an Applied Research Engineer at Labelbox, you’ll sit at the junction of advanced AI research and real product impact, with a focus on the data that makes modern agents work—browser interactions, SWE/code traces, GUI sessions, and multi-turn workflows. You’ll drive the data landscape required to advance capable, adaptable agents and help shape Labelbox’s strategy for collecting, synthesizing, and evaluating it. You will possess expertise in LLM agents and planning/execution loops, plus creativity in tackling problems across data design, interaction, and measurement. You’ll publish meaningful results, collaborate with customer researchers in frontier AI labs, and turn prototypes into reliable, scalable features. Your Impact Create frameworks and tools to construct, train, benchmark and evaluate autonomous agent capabilities. Design agent-focused data programs using supervised fine-tuning (SFT) and reinforcement learning (RL) methodologies. Develop data pipelines from diverse sources like code repositories, web browsers, and computer systems. Implement and adapt popular open-source agent libraries and benchmarks with proprietary datasets and models. Engage with research teams in frontier AI labs and the wider AI community to understand evolving agent data needs for frontier models and share best practices. Collaborate closely with frontier AI lab customers to understand requirements and guide model development. Publish research findings in academic journals, conferences, and blog posts. What You Bring Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or related field. At least 3 years of experience addressing sophisticated ML problems with successful delivery to customers. Experience building and training autonomous agents—tool use, structured outputs, multi-step planning—across browsers/GUI, codebases, and databases using SFT and RL. Constructed and evaluated agentic benchmarks (e.g. SWE-bench, WebArena, τ-bench, OSWorld) and reliability/efficiency suites (e.g. WABER).  Adept at interpreting research literature and quickly turning new ideas into prototypes. Deep understanding of frontier models (autoregressive, diffusion), post-training (SFT, RLVR, RLAIF, RLHF, et al.), and their human data requirements. Proficient in Python, data science libraries and deep learning frameworks (e.g., PyTorch, JAX, TensorFlow). Strong analytical and problem-solving abilities in ambiguous situations. Excellent communication skills. Track record of publications in top-tier AI/ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, etc.). Labelbox Applied Research At Labelbox Applied Research, we're committed to pushing the boundaries of AI and data-centric machine learning, with a particular focus on advanced human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios. We foster an environment of intellectual curiosity, collaboration, and innovation. We encourage our researchers to explore new ideas, engage in open discussions, and contribute to the wider AI community through publications and conference presentations. Our goal is to be at the forefront of human-centric AI development, setting new standards for how AI systems learn from and interact with humans.Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Annual base salary range$250,000—$300,000 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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What is Findem: Findem is HR 2.0. We’re a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, and we need strong advocates to help us achieve that goal. We’re backed by top-tier investors including Wing Venture Capital – the same firm that backed Snowflake, Cohesity, and Gong. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. Our PM team tends to attract scrappy, collaborative, high-ownership, customer-driven innovators. Emojis, jokes, and pet pictures flow freely in our Slack. Why We Need You: We’re looking for a seasoned Principal Product Manager who can lead one of the most important bets for the company. This role will lead this initiative, including setting strategy / KPIs, driving product choices and delivering high impact. You will be comfortable getting hands-on with detailed, nuanced product choices, while also understanding the larger path ahead with your overall strategy. Finally, to land a great outcome, you will need to be an excellent cross-functional collaborator. What You'll Do:Scope: Lead a major product at Findem, including setting long-term strategy, and making the business case for more investmentInsights: Own the company’s thesis for the market segment including the target buyer and customer personas and their most important needsProduct craft: Bring robust, first-principle, out of the box thinking to our problem space, and using quantitative and qualitative data to drive your conclusionsCrafted execution: Work closely with engineering to focus our efforts on the most impactful innovations, owning prioritization, unblocking major issues, and landing product milestonesCommunication: Working cross-functionally with marketing, GMs, support, and other stakeholders to drive alignment to the right goals. Your Working Experience:7+ years as a product manager, ideally with startup experienceExperience doing 0->1 and 1->10 product buildingExperience in with B2B PLG products, B2B SaaS (especially for multi-step workflows)Ability to drive short term execution while building towards (and testing) a long term vision What Makes You a Great Fit:Prior experience with assisting or automating manual workflowsPrior experience in recruiting or HR softwarePrior experience in AI/ML products

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Why Casca?Casca is building AGI for banking. We’re replacing decades-old legacy systems with AI-native technology that automates 90% of the manual work humans once had to do. As our founding PM, you'll define and drive Casca's end-to-end product development. We're not just building features—we're creating an entirely new way for banks to operate. You'll collaborate directly with our business & engineering team to transform complex AI capabilities into elegant solutions that make legacy banking systems obsolete. This is a rare opportunity to shape a category-defining product at the intersection of AI and finance. What you'll do:Lead End-to-End Product DevelopmentOversee the product development lifecycle from concept to release, ensuring alignment with Casca’s strategic goals.Define clear product roadmaps based on stakeholder input and user feedback.Drive product development with subject matter experts and designer partners. Lead feature release management & user training materials. Product User ExperienceChampion user-centric design by ensuring products are intuitive, user-friendly, and meet the highest quality standards.Translate complex AI capabilities into simple, transparent user experiences that delight customers.Strategize & InnovateDrive the product vision and strategy by thinking outside the box to deliver AI-native solutions that set new industry standards.Continuously explore emerging technologies and industry trends to keep Casca ahead of the curve.Cross-Functional CollaborationPartner with engineering, design, marketing, and sales teams to deliver a best-in-class product experience.Facilitate effective communication and coordination across teams to ensure timely and successful product launches.What you'll bring:Experience: 4+ years of proven experience as a Product Manager or Product Lead in a fast-paced, tech-driven environment, preferably delivered customer-facing AI technology or financial service products. Technical background: Degree in Computer Science or experience as an engineer preferredAI & Financial Domain Knowledge: Familiarity with AI, machine learning, and/or financial services is highly desirable.Strategic Thinking: Demonstrated ability to think creatively, innovate, and challenge the status quo to develop unique, differentiated products.Cross-Functional Leadership: Excellent communication, collaboration, and influencing skills across diverse teams.Analytical Skills: Strong analytical and problem-solving abilities with a data-driven approach to decision-making.Adaptability: Ability to manage multiple priorities, pivot quickly, and thrive in a dynamic startup environment.What you'll get: Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.As an early-stage company building at the frontier of AI, we work with high intensity and commitment. While schedules can vary by role/team, many weeks will demand extra focus, flexibility and time particularly during major launches and high impact sprints. We're seeking those who are aligned to and able to commit to that expectation which includes 5 days per week in our San Francisco Office.

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Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year. Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L’Oréal, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It’s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA. We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader in our category. We’ve also been named one of Fortune’s Great Places to Work six years running, featured on Glassdoor’s Best Places to Work, and recognized by Forbes’ 50 Most Promising AI Companies. We’re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We’d love for you to join us! Solutions Engineers @ IroncladSolution Engineers (SEs) are Ironclad Sales Team’s pre-sale technical experts. SEs collaborate closely with prospects and Ironclad’s Sales, Implementation, and Product teams, forming a critical technical overlay to the sales and solution evaluation.At Ironclad, SEs are creative, value-driven technology experts that love to engage with people. They drive sales through clear communication focusing on customer use cases, technology infrastructure, and solution design. With a comprehensive understanding of Ironclad’s platform, SEs empower prospects to understand how Ironclad can work for them.SEs also help Ironclad improve our platform: the best SEs help capture the most challenging technical requirements observed in the market and translate them into actionable insights for Ironclad’s Product team to develop.Requirements, you must be:Mission-oriented: You’re excited to work on a team that operates at the intersection of human talent and software; you want to put that passion to work in an industry that still skews heavily towards human/manual work. You want to work at a place where you can have an outsized impact.Exceptional communicator: You’re a strong verbal communicator, able to capture an audience with clear and confident language. You can understand and empathize with people even if you have limited subject-matter knowledge of their area of expertise.Technically proficient: You’re an expert at technical configuration and familiar with or have an appetite for learning programming languages such as JSON, HTML and, ideally, JavaScript or similar languages. You recognize that your ability and willingness to develop these skills is an important part of what makes SEs successful in their role as Ironclad’s prospect-facing solution experts.Creative problem solver: You listen well and understand customers' needs. You think outside the box to solve their challenges and deliver a solution that will drive value for the customer.Team player: You can work effectively in teams of technical and non-technical individuals. You are energized by collaborating with diverse teams.Independent: You can learn and drive outcomes with minimal supervision. You have a bias toward action and gravitate towards environments where you have an outsized influence on the success of outcomes for customers and colleagues. You are exceptionally good at making trade-offs based on incomplete data.Experience: 3+ years of Solution Engineering experience. Experience in AI and LLM-based applications.Responsibilities:Listen to prospects' needs and goals. Listening is our #1 strength.Design, build and present custom demonstrations of the Ironclad platform using a prospect’s own contracts and workflows.Build strong relationships with prospects to help Ironclad’s most important and strategic prospects evaluate and ultimately select Ironclad.Collaborate with Account Executives and other internal partners to progress an evaluation forward smoothly.Bring actionable insights back to Ironclad’s Product Team to help us evolve our core product.Partner with your aligned Sales Leader to support pipeline generating activities and overall team success Benefits:Health, dental, and vision insurance401kWellness reimbursementTake what you need vacation policyGenerous parental leave for both primary and secondary caregiversOTE Range: $160,000 - $190,000The OTE range represents the minimum and maximum of the OTE range for this position based at our San Francisco headquarters. The OTE offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our OTE is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.