Find AI Work That Works for You

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YOUR MISSION Join us in reimagining customer experience with Agentic AI. As a Principal Data Platform Engineer (f/m/d), you will shape Parloa’s data architecture, lead cross-team initiatives, and set the standard for engineering excellence — all while staying close to the code. This is your opportunity to drive the technical strategy behind our enterprise-scale data platform and help establish Parloa as Europe’s benchmark for engineering culture and a global leader in Conversational AI. IN THIS ROLE YOU WILL Deliver business value by writing code every day. Define and drive technical strategy across multiple domains and org-wide initiatives. Lead cross-team architecture and ensure solutions scale globally for enterprise adoption. Balance short-term velocity with long-term resilience, making smart trade-offs on complexity, cost, and scalability. Remain hands-on - whether writing foundational code, leading design reviews, or refactoring key systems. Act as a force multiplier by mentoring Staff Engineers and influencing the careers of future Principal-level talent. Serve as a trusted advisor to leadership, ensuring engineering capacity matches market and customer demands. Set cultural standards for fearless iteration, bias for action, and pragmatic perfectionism—design for tomorrow, build for today OUR TECH STACK: TypeScript, Node.js, React, Python, FastAPI, Kubernetes, MongoDB, Azure, Kafka, NATS  WHO YOU ARE A seasoned technical leader (typically 12–15+ years in data and software engineering) with a track record of org-level or industry-level impact. Deeply experienced in data infrastructure, enterprise-scale systems and multi-team architecture leadership. Equally comfortable flying high (strategic vision) and diving deep (technical details). Thrives in ambiguous, high-stakes environments with a strong sense of urgency. Embodies Parloa’s ambition: to build Europe’s leading engineering culture and a world-class AI platform. Motivated by making the impossible possible and building something iconic. Coding every day WHAT’S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to shape enterprise-grade AI solutions and grow your career in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Work from home and/or our beautiful office in the heart of Berlin with adjustable desks, social areas, fresh fruits, cereals, and drinks. On-site-first hybrid work environment — you’ll be primarily based in our Berlin office, with flexibility to work from home on some days. OUR VALUES At Parloa, we hire, promote, and evaluate based on cultural and technical excellence. You’ll thrive here if you: Earn Trust – act with transparency and reliability. Obsess Over Customers – always start with the customer problem. Think Big – set bold goals and pursue them fearlessly. Have Integrity – do the right thing, especially when it’s hard. Disagree & Commit – debate with candor, align fast, and deliver. Own It – take full responsibility for outcomes, not just tasks. Dive Deep – master the details without losing sight of the big picture. Bias for Action – move fast, decide quickly, iterate fearlessly. Deliver Value – measure success by customer and business impact. Insist on the Highest Standards – raise the bar continuously. Go the Extra Mile – make the impossible possible. Hire & Elevate the Best – raise the bar with every hire YOUR RECRUITING PROCESS AT PARLOA Recruiter Call -> Technical Peer Interview -> Live Coding -> System Design -> Technical Leadership Interview -> Bar Raiser    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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About Bland At Bland.com, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses. We've raised $65 million from Silicon Valley's finest; Including Emergence Capital, Scale Venture Partners, YC, the founders of Twilio, Affirm, ElevenLabs, and many more.About the Role As a Senior Infrastructure Engineer at Bland, you'll help us to build the backbone that enables millions of AI-powered phone conversations. You're not just keeping servers running, you're architecting distributed systems that handle real-time voice processing, scale ML inference, and integrate with enterprise telephony infrastructure. Your work directly determines whether our platform can handle business-defining call volumes for our customers, or leaves them with dead air.What You'll DoContribute to the designing of scalable architecture: Build distributed systems using Kubernetes that handle high-volume, real-time voice processing with strict latency and reliability requirements.Build and Support ML infrastructure: Create and optimize the infrastructure supporting our AI models, from training pipelines to real-time inference serving across multiple regions.Integrate with telephony: Maintain robust connections between our platform and complex enterprise phone systems, SIP trunks, and VoIP infrastructure.Recognize Flaws, Control for them: We’re building a new type of architecture that takes something from Column A, and Column B. We’re never going to get it perfect, so you’ll be helping us keep a look out for what we need to solve.Ensure reliability: Implement monitoring, alerting, and incident response systems that keep our platform running 24/7 with enterprise-grade uptime.Scale with growth: Anticipate and solve scaling challenges before they become problems—our call volume grows exponentially and infrastructure needs to stay ahead.Security and compliance: Implement security best practices and compliance requirements for enterprise customers in regulated industries.Interesting Problems to OwnOld-Meets-New: Telephone calls have been around for awhile. Now with an explosion in modern technologies - comes interesting new ways to wrangle old-school protocols and techniques. You’ll have the space to be creative and really own a new emergent type of architecture.Sizable Call Volumes requires new approaches: Understand and deeply invest in ensuring that we match any amount of customer’s customers call volume! We need unique solutions, that you’ll help us discover along the way.Streaming Architectures: On top of building to support our APIs, you’ll also be building to helping maintain the reliability, failover, and scaling of our important stream-based traffic.What Makes You a Great FitInfrastructure expertise: 5+ years building and scaling distributed systems, with deep knowledge of cloud infrastructure (AWS/GCP preferred).You “get” the fundamentals, and beyond: For example, you can casually tell someone how TLS works beyond buzzwords, do a quick sketch of how different load balancing strategies work, or even tell us the obscure thing you fell asleep reading about last night. There isn’t a blank stare, there’s an excitement to share.Real-time systems experience: You've built systems that handle high-throughput, low-latency workloads, streaming, real-time processing, or similar.Startup mentality: You've worked at fast-growing companies where you wear multiple hats and solve problems as they come up.You’re opinionated, but you’re not alienating: You accept that opinions drive progress, but you don’t intend to break into alienating discussions at the risk of not finding compromises for our customers.You’re familiar with some tools/components like: Cloudflare, HAProxy, Go, TypeScript, Datadog, Terraform, Docker, Kubernetes, Nvidia Hardware (nvlink for example), and anything in between.Bonus Points If You HaveExperience with telephony systems (SIP, VOIP, WebRTC.)Background in ML infrastructure, model serving, or GPU computing.Experience with real-time audio/video processing.Benefits and Pay:Healthcare, dental, vision, all the good stuffMeaningful equity in a fast-growing companyEvery tool you need to succeedBeautiful office in Jackson Square, SF with rooftop viewsIf you don't have the perfect experience that is fine! We're a bunch of drop-outs and hackers. Working at a start-up is really hard. We work a lot and we figure things out on the fly.Compensation Range: $120,000-$200,000

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YOUR MISSION: We are on a mission to transform how people interact with companies by making every conversation seamless, personalized, and human-like. Our AI Agent Management Platform empowers enterprises to create and manage AI voice and chat agents at scale, turning interactions into lasting relationships. As our Lead Product Designer - Consumer Experience, you will drive the realisation of the design vision for consumer-facing, multimodal experiences across voice, chat, and beyond. You will guide your cross-functional product team to translate this vision into intuitive, trustworthy, and engaging interfaces that make AI agents feel effortless to use. This is an opportunity to lead design at the heart of how people experience AI, shaping consumer-grade interfaces that will influence the future of Agentic AI. IN THIS ROLE YOU WILL: Bring the design vision to life in your product team, ensuring clarity and usability across consumer-facing, multimodal experiences. Partner closely with product managers, engineers, and AI specialists to align on priorities, user needs, technical feasibility, and business impact. Balance simplicity and delight, ensuring interfaces feel natural and human-like across voice, chat, and graphical touchpoints. Lead UX strategy for your product team with a focus on multimodal consumer interactions, ensuring research insights shape both near-term design choices and the long-term vision. Prototype and test interaction models that make AI agents intuitive and trustworthy for everyday users. Take end-to-end ownership of design in your product team, shaping direction and delivering high-quality, hands-on work.   WHAT YOU BRING TO THE TABLE: 8+ years of experience in product design with a proven track record in consumer-facing products, including two years in a lead capacity. Strong expertise in designing multimodal experiences, ideally across voice, chat, and mobile. Ability to translate a design vision into coherent, high-quality execution within a cross-functional team. Strong interaction and visual design skills, with a portfolio that demonstrates elegant, user-centered solutions in consumer contexts. Experience collaborating with product managers and engineers to drive outcomes and influence priorities. A research-driven mindset, grounded in user research, usability testing, and data-informed decision making. Excellent communication and storytelling skills, with the ability to align and inspire cross-functional teams. NICE TO HAVE: Experience designing consumer-facing products that integrate AI or conversational interfaces. Background in designing multimodal experiences that combine voice, chat, and graphical interfaces. Familiarity with design systems in a scaling organization. Knowledge of accessibility best practices and inclusive design principles for multimodal products. Interest in emerging interaction models such as ambient computing, AR/VR, or wearables. WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches. Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Work from a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks. Your recruiting process at Parloa: Recruiter video call → Meet your manager → Portfolio Walkthrough →  360° Interviews → Design Case Study → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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<This Is a Remote in the UK> About the Role We are seeking a highly motivated Creative Technologist to join our Applied Research team, reporting to the Head of Applied Research. The successful candidate will focus on advancing generative media research, with a primary emphasis on image models, while also contributing across video, audio, and 3D modalities. In addition to core research, this role will work directly with customers, alongside our Revenue and Sales teams, to design, fine-tune, and deploy custom models, workflows, and creative assets tailored to industries such as E-commerce, VFX, and other visual media. This is a hands-on position at the intersection of cutting-edge research and real-world application. Responsibilities Collaborate with the Applied Research team to develop state-of-the-art generative media solutions, with a strong emphasis on image models. Fine-tune and extend UNet and DiT architectures for generative tasks across multiple modalities (image, video, audio, 3D). Work directly with customers to research, design, and deliver customized models, workflows, and creative assets for applications in E-commerce, VFX, and other visual media sectors. Implement and adapt novel techniques from research papers and repositories into practical, high-quality code. Curate, preprocess, and design high-quality datasets for training and fine-tuning. Collaborate cross-functionally with Product, Engineering, and Commercial teams to ensure smooth integration of models into customer workflows. Stay at the cutting edge of generative modeling research, incorporating advancements into both internal pipelines and customer-facing solutions. Evaluate, benchmark, and optimize models for quality, diversity, and efficiency in generative media applications. Qualifications Proven experience with image models; knowledge of video, audio, or 3D generative models is a strong plus. Strong experience fine-tuning UNet and DiT architectures for generative tasks. Proficiency in Python, with the ability to implement and customize code from research repositories. Solid understanding of machine learning concepts (formal ML background preferred but not required). Experience with Linux, CUDA, and PyTorch in a research or production setting. Demonstrated ability to create customer-specific generative solutions and workflows. Experience managing fine-tuning processes to improve model quality and diversity. Portfolio, GitHub, or prior work showcasing generative media or applied ML research, particularly in E-commerce, VFX, or other visual media contexts, is highly desirable. Equal Employment Opportunity We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleAirOps is hiring a Growth Product Manager to own the product-led engine that brings content teams from first touch to early habit. You will map, measure, and improve the journey from discovery to activation to early retention, with a focus on delivering fast time-to-value and clear business outcomes in AI-driven search. This role sits at the intersection of product, data, marketing, and sales. You will define the growth strategy, build the experimentation program, and ship features that create repeatable loops across our insights, content operations, and publishing workflows.Key ResponsibilitiesOwn the acquisition, onboarding, and activation funnel for AirOps, targeting content leaders and teams across mid-market and enterprise.Build and execute a product-led growth roadmap that balances quick wins with scalable bets tied to revenue impact.Design and run experiments across signup, packaging, onboarding flows, templates, prompts, in-product education, and lifecycle messaging.Create new growth loops such as shareable audit reports, scorecards, and template galleries that attract qualified teams and encourage word of mouth.Work closely with Growth and Marketing on self-serve acquisition programs, content diagnostics, and AEO/SEO-friendly experiences that attract high-intent users.Collaborate with Engineering and Design to scope, deliver, and iterate quickly, maintaining a high bar for usability and reliability.Align with Sales and Customer Success on trial-to-paid motions, PQL definitions, routing, and in-product moments that support sales-assisted conversions.Qualifications5+ years in Product Management with 2+ years focused on growth or PLG in B2B SaaS.Track record improving activation and early retention for complex products, ideally used by content, SEO, or editorial teams.Proficiency in A/B testing and feature flagging tools such as Optimizely, Posthog, or Statsig.Strong analytics skills, including comfort with SQL and product analytics platforms like Amplitude, Posthog, or Metabase.Experience building onboarding systems, in-product guidance, and lifecycle programs that shorten time-to-value.Familiarity with content operations, SEO, and AI search dynamics, including how teams identify content gaps and measure off-site and on-site impact.Clear, concise communication and the ability to influence cross-functional partners and leadership with data and narrative.Fluency with modern prototyping tools (e.g. Cursor, Bolt, Claude Code) and comfort with design/collaboration environments like Figma and Git.Bias for action and comfort operating in a fast-moving environment where priorities evolve with new insights.Our Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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Vatic Labs is a quantitative trading firm in New York and Abu Dhabi.  Our traders, AI researchers, and technologists collaborate to develop autonomous trading agents and cutting edge technology.   As an Quantitative Research Intern at Vatic Labs, you will contribute to the research and development of fully autonomous trading agents with some of the brightest researchers, traders, and technologists in the world. As a part of your internship at Vatic Labs, you will explore vast amounts of market data, research different AI approaches, apply cutting edge machine learning algorithms and statistical approaches to this data to discover and capitalize on trading opportunities. We are seeking researchers who have demonstrated the ability to generate impactful research in their academic pursuits. We foster an open and academic environment, where collaboration is the key to our success. Drawing from our collective backgrounds in Computer Science, Mathematics, Statistics, and Physics, we apply rigorous analytics to test hypotheses derived from years of successful quantitative trading. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful. If you possess the following, we would love to explore what is available for you with our team: Earned or will earn a PhD or Master's Degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields Demonstrable experience coding in C++ or Python in a Linux environment Have experience analyzing large datasets with rigorous statistical and machine learning approaches, including classification, clustering, and regression. In depth technical knowledge of AI, deep learning, and machine learning algorithms including strong knowledge of the mathematical underpinnings behind these various methods Have innate curiosity for understanding why and how certain techniques work Have deep knowledge of time-series analysis Advanced knowledge of a high-level language for numerical analysis, Python (numpy/scipy stack) preferred Contribution to AI and ML research communities, top tiered peer reviewed publications, publishing/presenting papers at conferences such as NIPS, ICML,  etc. Have an interest and enthusiasm for learning about financial markets (previous experience not required)

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Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for engineers to help us reach $XXM ARR in the next 9 months. As a founding member of our team you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.About the roleDesign and orchestrate agentic workflows by combining AI prompting with Magical’s multi-agent platform, extending its capabilities to solve complex, customer-specific challenges.Act as a technical bridge between customers and Magical’s product and engineering teams, capturing real-world feedback and translating it into platform improvements.Diagnose and resolve issues across deployments, integrations, and performance optimizations, ensuring reliability in high-stakes environments like healthcare.Shape the internal playbook by building tools, documentation, and reference implementations that accelerate future customer rollouts and scale Magical’s multi-agent ecosystem.About youYou have 3+ years of experience in engineering, QA engineering, solutions engineering, or similar technical backgroundYou’re deeply curious about AI prompting, multi-agent systems, and automation. Prior experience here is a plus, but a fast learner with strong fundamentals will thrive.Have a strong bias towards action, a willingness to do whatever it takes, and embody show > tellHave a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input.You thrive in early-stage chaos: you’re excited to define the playbook rather than follow one.Studied science or engineering in college (dropout welcome)Located in SF/Toronto or willing to relocateWhat we offerA chance to be an early team member at a fast-growing, ambitious companyThe opportunity to push the boundaries of what’s possible with AIA modern stack and the latest tools to do your best workCompetitive salary and meaningful equityUnlimited PTOFun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa Rica

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About Brain Co.Brain Co. is at the forefront of productionizing artificial intelligence for real-world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real-world problems in various governments and industries where manual work is still dominant. We are seeking visionary backend engineers with a passion for AI to join us. You'll be converting groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges.About The RoleAs an AI Platform Engineer at Brain Co., you will play a pivotal role in building and deploying state-of-the-art backend systems to automate various real-world problems. You will work directly with the customer to develop the product spec and building from zero. From designing robust and scalable architectures to optimizing performance and reliability, you will turn research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You Will:Innovate and Deploy: Design, develop, and deploy advanced backend solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors. Utilize modern backend frameworks, microservices architecture, and cloud computing to build applications that apply AI to intricate optimization challenges.Make a Big Impact: Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers. Understand complex business challenges and deliver backend solutions powered by AI. Join a dynamic team where ideas are exchanged freely, and creativity flourishes. You will wear many hats: software development, system architecture, product management, and interpersonal skills.Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.Learn and Lead: Stay abreast of the latest developments in backend engineering and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. Mentor junior engineers and lead by example.Make a Difference: Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide. Work directly with customer engineers and SMEs to develop and tune applications that optimize their workflows and deliver tangible upside. Your work will directly impact how AI benefits individuals, businesses, and society at large.You Might Thrive In This Role If You:Have 5+ years of experience and an appetite for working directly with the customer to develop the software spec and build from zeroAre experienced with backend technologies, microservices, and cloud platforms.Have demonstrated experience with modern backend frameworks, cloud compute and storage, RESTful APIs, and database management systems.Possess a strong foundation in software design principles, data structures, and algorithms.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Have deep experience in implementing security best practices across the platform — from system/network security, to code and deployment pipelines, monitoring, and incident response.Can work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.Hold a Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related field.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTO

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role We are seeking a highly skilled Senior Backend Developer with deep expertise in distributed systems and modern backend architecture. The ideal candidate will be responsible for designing and building scalable, high-performance backend services while maintaining clean, maintainable code and collaborating closely with cross-functional teams. This role requires a strong understanding of microservices, messaging systems, data persistence layers, and system performance optimization.   Responsibilities  Architect and develop robust, scalable backend services and APIs using ASP.NET Core  Design efficient, normalized database schemas and optimize data access logic   Implement message-driven communication with high reliability and fault tolerance   Take ownership of backend code quality, documentation, and maintainability   Proactively identify performance bottlenecks and implement scalable solutions   Collaborate with DevOps for containerization and deployment pipeline improvements   Explore and integrate AI-assisted development tools to boost productivity   (Optional) Contribute to low-level integrations through FFI for performance-critical components   About you  [Minimum qualifications] Extensive experience in ASP.NET Core backend development   Advanced proficiency in C# programming and object-oriented principles   Proven experience in distributed systems and microservice architectures   Strong expertise in PostgreSQL, MongoDB, and familiarity with both SQL and NoSQL database design principles   Proficiency in code-first development and hands-on experience with Entity Framework Core or equivalent ORMs   Advanced knowledge of **RabbitMQ** or similar **message broker systems** (e.g., Kafka, NATS)   In-depth understanding of IO-bound operations, threading, parallelism, and asynchronous programming   Practical experience with Docker and container-based deployment workflows   Demonstrated ability to write clean, well-documented code and solve complex problems analytically   Strong abstract thinking and decision-making capabilities   Solid experience in performance tuning and designing scalable backend systems  Familiarity with and ability to leverage AI tools in development workflows   (Optional) Experience working with FFI (Foreign Function Interface) and integrating native code or libraries  [Preferred qualifications] Solution-oriented mindset with a focus on system sustainability and maintainability   Ability to work independently and make high-level architectural decisions   Willingness to explore and integrate emerging technologies into backend systems   Strong collaboration and communication skills with technical and non-technical stakeholders   #LI-AK1

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleWe're looking for a Product Engineer to build product experiences that people love. You'll collaborate across design, product, and engineering to rapidly prototype and ship magical experiences. You'll work with people who are not only technically excellent but who care deeply about delivering something outstanding - and who move with urgency to get it in customers' hands.ResponsibilitiesDesign, prototype & launch AI-powered products that solve real user problems - from early concepts to scaled featuresWork directly with customers to understand their needs, validate ideas quickly, and iterate based on real feedbackCollaborate with product, design, and data teams to take features from idea to production at startup speedNavigate ambiguity to define what to build when the path forward isn't clearStay on top of research and identify opportunities to ship magic to usersKeep systems fast and reliable under real-world usage Required Qualifications3+ years building products that people love, with demonstrated experience taking ideas from zero to oneTrack record of shipping quickly while maintaining quality - you know when to move fast and when to be thoroughThrive in ambiguous, fast-changing environments where requirements shift and customer feedback drives decisionsStrong sense of product taste paired with deep customer empathyOutstanding communication skillsPreferred QualificationsExcited about all things AIExperience working with PythonStrong ML/LLM knowledgeExperience with evalsHistory of direct customer engagement and interactionsOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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Meet SienaSiena is the first intelligence layer for customer experience. We're creating an operating system of AI agents that learn, remember, and act across every customer touchpoint—from support conversations to shopping experiences to voice and social media interactions.Siena doesn't just automate support; it powers shopping agents, builds persistent customer memory, generates actionable business insights, and creates empathetic interactions that feel human. We're transforming how businesses understand and connect with their customers, turning every interaction into intelligence that makes the next one better.The teamWe're a small, distributed team that punches way above our weight. Every person here has outsized impact because we've built leverage into everything we do. This philosophy makes us faster and, frankly, more fun to work with.If you're excited about building something that doesn't exist yet, keep reading. We're building agents that don't just respond to customers—they remember them, learn from every interaction, and connect experiences across channels.What we're looking forYou're early in your PM career but hungry to own meaningful product areas at the frontier of AI agents and customer experience.We're looking for someone who can take ownership of defined domains while learning fast from our team. You'll ship capabilities that matter, build systems that scale, and work directly with customers.You have1-3 years product management experience with technical B2B products, ideally CX, e-commerce or AI automationAI-native mindset—you live in Claude, ChatGPT, Cursor and push these tools to their limitsTechnical curiosity—you can scope webhook systems and OAuth flows, even if you don't code themBuilder mentality—you ship features, write docs, run demos, and measure what mattersCustomer confidence—you thrive talking with customers and running product demosYou thrive whenShipping new capabilities that change how customer service worksBuilding systems that automatically improve agent performanceWorking directly with customers to understand their real problemsSeeing features you built get adopted and create customer valueWhat you'll doOwn defined product areas end-to-end while learning our AI agent ecosystem from an elite team.You'll work on expanding our platform capabilities, building evaluation systems, managing integrations, and creating tools that help customers go live faster. You'll run features from internal testing to GA, including customer enablement through webinars and documentation.You'll demo your own products to customers and work alongside sales. You'll be known by name in our customer communities as the PM who ships what they need.Why this role mattersYou'll get direct exposure to CEO-level product thinking while owning meaningful areas of our product. Perfect setup for someone who wants to grow into a senior PM role at a fast-growing AI company.You'll be known by name in our customer communities as the PM who ships what they need.Why Siena?Meaningful impact. Your work directly shapes our product and company.Globally distributed team working at the bleeding edge of CX and AI.Great salary plus the opportunity for equity or stock grants.Learning budget. If you're growing, so are we.The thrill of building something new. Join us at a stage where your contributions matter most.AI-fluency. Make AI your second nature. Tackle unsolved problems. We’re redefining how customer experience will look like in the next decades.Our valuesThe people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later. They're direct about feedback—both giving and receiving it—because they care more about getting things right than being polite. They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that's how great work gets done. When things get tough, they adapt and keep pushing forward.Our approach to AIThe people who thrive here treat AI like a natural extension of themselves. They've built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem.Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows.At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application.Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI.  The Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe. Who we're looking for:We’re looking for curious and intellectually proactive contributors, the kind of person who double-checks assumptions and plays devil’s advocate. Are you comfortable with ambiguity and complexity? Does an async, remote, flexible opportunity sound exciting? Would you like to learn how modern AI systems are tested and evaluated?This is a flexible, project-based opportunity well-suited for: Analysts, researchers, or consultants with strong critical thinking skills. Students (senior undergrads / grad students) looking for an intellectually interesting gig. People open to a part-time and non-permanent opportunity. About the project:We’re on the hunt for QAs for autonomous AI agents for a new project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks. Throughout the project, you’ll have to balance quality assurance, research, and logical problem-solving. This project opportunity is ideal for people who enjoy looking at systems holistically and thinking through scenarios, implications, and edge cases.You do not need a coding background, but you must be curious, intellectually rigorous, and capable of evaluating the soundness and consistency of complex setups. If you’ve ever excelled in things like consulting, CHGK, Olympiads, case solving, or systems thinking — you might be a great fit.What you’ll be doing: Reviewing evaluation tasks and scenarios for logic, completeness, and realism. Identifying inconsistencies, missing assumptions, or unclear decision points. Helping define clear expected behaviors (gold standards) for AI agents. Annotating cause-effect relationships, reasoning paths, and plausible alternatives. Thinking through complex systems and policies as a human would to ensure agents are tested properly. Working closely with QA, writers, or developers to suggest refinements or edge case coverage. How to get started:Apply to this post, qualify, and get the chance to contribute to a project aligned with your skills, on your own schedule. Shape the future of AI while building tools that benefit everyone.Requirements Excellent analytical thinking: Can reason about complex systems, scenarios, and logical implications. Strong attention to detail: Can spot contradictions, ambiguities, and vague requirements. Familiarity with structured data formats: Can read, not necessarily write JSON/YAML. Can assess scenarios holistically: What's missing, what’s unrealistic, what might break? Good communication and clear writing (in English) to document your findings. We also value applicants who have: Experience with policy evaluation, logic puzzles, case studies, or structured scenario design. Background in consulting, academia, olympiads (e.g. logic/math/informatics), or research. Exposure to LLMs, prompt engineering, or AI-generated content. Familiarity with QA or test-case thinking (edge cases, failure modes, “what could go wrong”). Some understanding of how scoring or evaluation works in agent testing (precision, coverage, etc.). Benefits Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments. Participate in an advanced AI project and gain valuable experience to enhance your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAs a Partner Success Director at Abridge, you will play a vital role in ensuring the satisfaction, adoption, and expansion of our solutions within our customers. You will be a core member of the commercial team and work closely with clinicians, administrators, and key stakeholders to understand their needs, provide ongoing support and guidance, and drive the successful utilization and expansion of our products and services.What You’ll DoClinician Success:Build and maintain strong relationships with clinicians and healthcare professionals across enterprise customers.Act as a trusted advisor to clinicians, offering guidance and best practices to enhance their productivity, efficiency, and patient outcomes.Understand user workflows, pain points, and objectives to align our solutions with their needs.Provide product training and onboarding support to clinicians, ensuring a smooth transition and optimal utilization of our solutions.Proactively identify and address any issues or concerns raised by clinicians, collaborating with internal teams to provide timely resolutions.Monitor and track clinician satisfaction and adoption rates, proactively identifying opportunities for improvement and driving engagement initiatives.Customer Expansion:Collaborate with the sales team to identify expansion opportunities with existing customers, outlining goals, milestones, and action plans.Conduct regular business reviews with key stakeholders to assess product performance, user feedback, and identify opportunities for additional value-add solutions.Present new features, upgrades, and solutions to clients, highlighting their potential benefits and ROI.Track customer expansion metrics and contribute to revenue growth targets.Partner Success Advocacy:Support all clinician users and serve as the voice of the customer internally, sharing insights, feedback, and success stories to drive product and service improvements.Collaborate with cross-functional teams, including sales, marketing, and product, to deliver a seamless customer experience.Contribute to the development of partner success resources, such as knowledge bases, training materials, and partner success stories.What You’ll BringProven experience as a Customer/Partner Success Director or Customer Success/Partner Manager5+ years of experience working in or with enterprise health systemsStrong understanding of the healthcare ecosystem, including the dynamics and challenges faced by large health enterprises and clinicians.Excellent communication and interpersonal skills, with the ability to build trust and establish rapport with clinicians and stakeholders at all levels.Technical aptitude and ability to quickly understand and effectively communicate complex software solutions.Strong problem-solving skills, with a proactive and results-oriented mindset.Ability to multitask and manage multiple client relationships simultaneously.Familiarity with CRM software and customer success tools is a plus.Strong organizational and project management capabilities.***This role requires up to 20% travel***Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe, and the U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   About the Role The Business Analysis Manager (Partnership) will lead and elevate Appier’s BA function from a tactical, campaign-support unit into a strategic partner for both commercial and product teams. You will act as a trusted advisor to Campaign Managers, guiding them on inventory utilization. You will also be responsible for building inventory insights that empower BD, Product, and CM teams to make better decisions, and lead BA Team to proactively anticipate demand momentum and collaborate with AdCloud Product (PM) and AI teams, positioning BA as a valued partner in shaping Appier’s future product roadmap.   Responsibilities Demand Operation & Forecasting Lead and mentor the BA team to establish strategic frameworks for evaluating campaign and inventory health, ensuring BA provides early-warning signals and strategic insights for leadership. Design and institutionalize mechanisms that give full visibility into current and future campaign demand, enabling long-term supply planning and resource allocation. Proactively translate demand momentum (regions, ad formats, specific publishers) into strategic supply forecasts that shape commercial and product priorities. Cross-Functional Product Engagement Engage with Appier AdCloud Product Managers and AI scientists to understand roadmap priorities and problem statements. Provide inventory insights, campaign patterns, and data-driven signals to influence product design and AI model development. Present forward-looking recommendations to leadership, influencing both commercial strategy and product roadmap. Inventory Partner Engagement Leverage SSP partner data to extract market benchmarks (e.g., eCPM, CTR, publisher performance) and generate insights that guide BD negotiations and product innovation.. Shape traffic allocation strategies in partnership with SSPs to optimize both partner yield and Appier performance. Empower Partnership BD to engage with inventory partners with AdTech and campaign operational findings Provide thought leadership on campaign and inventory dynamics to influence long-term product direction. Team Leadership Build a culture of consultative support, ensuring BA provides Campaign Management Team with the right inventory insights at the right timing. Develop BA Team as the source of truth on inventory dynamics, supply quality, and campaign-to-supply fit. Foster knowledge-sharing and tool development (dashboards, monitoring systems) to scale BA impact across teams.   About You Essential 6+ years of experience in data/business analysis, supply management, or digital advertising; 2+ years in team leadership. Strong analytical/statistical background; skilled at turning data into clear, actionable insights. Experience in programmatic advertising, RTB, or campaign optimization support. Excellent communication and presentation skills; able to influence CM, BD, and Product stakeholders. Proven ability to drive analytics tooling and dashboard initiatives, ensuring stakeholders (CM, BD, Product) gain consistent, actionable visibility into inventory dynamics. Comfortable operating at both tactical (daily monitoring) and strategic (product advisory) levels. Fluent in English; additional language skills (Mandarin, Korean, Japanese) are a plus. Nice to Have Proficiency in SQL, Tableau, or similar analytics/visualization tools. Familiarity with AI/ML-driven ad platforms or SaaS product development. Experience working with cross-functional product/engineering teams.   #L1-RL

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What is Automat?Automat was founded by a diverse group of creative technologists from teams like Google Creative Lab, and Samsung’s innovation Think Tank Team. We envision a future where intelligent agents streamline business operations - and one day, run their own enterprises. We're redefining Enterprise AI Agents (Robotic Process Automation) and Intelligent Document Processing (IDP), developing the necessary tooling and infrastructure to incorporate the advancements of AI into practical, real-world applications.We value curiosity, collaboration, and impact above rigid requirements. If you're excited about AI and automation, thrive in flexible, creative environments, and want to work on meaningful, pioneering projects, this role is for you.We encourage anyone to apply - we think talent, passion and your unique perspective can outweigh years of experience. We are really looking for someone who can hit the ground running on day one and contribute at a rapid pace, while also being someone from whom we ourselves can learn from. The Role We're looking for a Forward Deployed Engineering Lead to guide our world class team of FDEs as they solve high leverage problems for our most complex enterprise customer engagements. You will interface directly with our customers in an effort to solve their pain points and drive real-world operating efficiency and cost savings. You'll help us design and improve upon our customer delivery process, guiding everything from individual deployment timelines to the overall strategic implementation process across our enterprise book of business.This role is inherently cross-functional - you’ll often be the bridge between product, engineering, and customer teams. It is as important to be comfortable with sales conversations and identifying upsell opportunities as it is to understand how we can expand Automat’s suite of AI-powered product offerings to improve velocity and scale. Success will be measured by impact across all deployments - delivering measurable value against customer goals, driving adoption, and finding avenues to create further engagement with existing customers. What you’ll doOwn the technical delivery for multiple independent workstreams. Translate customer objectives into a plan with milestones, dependencies, and acceptance criteria.Run day-to-day FDE execution. Track and drive delivery across individual customer project teams, ensuring progress is proactively unblocked and sequenced.Define key workflows, tools, and processes for all of our customer deployments.Act as the first technical point of contact for sales, helping scope, define, and qualify potential new customer engagements in a way that helps ground them in a technical manner.Be the eyes and ears for our GTM and Engineering teams to help bridge key objectives across capacity planning and product roadmap development.What drives youMethodically working through complex technical challenges, no matter how detailed or demanding, until the solution emerges.Efficiency without negatively impacting quality.Collaborating in teams of both technical and non-technical membersStandardizing disparate and ambiguous processes so that they become repeatable and scalable as our customers increase in volume and complexity.What’s in your toolboxExcellent communication and collaboration skillsDemonstrated success in leading Enterprise level customer-facing technical roles (e.g., sales engineering, solutions engineering, forward deploy engineering, etc.)Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight engineering coordination and fast decision makingIntrinsically pattern match, always stepping back from execution detail to recognise broader trends across deployments in order to turn individual customer needs into scalable, reusable solutions.What we are looking forTop notch communication and collaboration skills, particularly bridging discussions between technical and non-technical teamsComfort navigating ambiguity and wearing multiple hatsProactive mindset and high initiative, with a bias toward actionAn intrinsic desire to leave things better than you found themExperience as both an IC and technical leader in startups or other dynamic, high-growth setting

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Meet SienaSiena is the first intelligence layer for customer experience. We're creating an operating system of AI agents that learn, remember, and act across every customer touchpoint—from support conversations to shopping experiences to voice and social media interactions.Siena doesn't just automate support; it powers shopping agents, builds persistent customer memory, generates actionable business insights, and creates empathetic interactions that feel human. We're transforming how businesses understand and connect with their customers, turning every interaction into intelligence that makes the next one better.The teamWe're a small, distributed team that punches way above our weight. Every person here has outsized impact because we've built leverage into everything we do. This philosophy makes us faster and, frankly, more fun to work with.If you're excited about building something that doesn't exist yet, keep reading. We're building agents that don't just respond to customers—they remember them, learn from every interaction, and connect experiences across channels.About the roleAs a fullstack engineer at Siena, you’ll own projects end-to-end, developing and optimizing features within our AI-powered customer support automation platform. You’ll work closely with product, shaping our roadmap while building reliable, high-performance systems. Your code will power millions of monthly customer interactions across global brands, where reliability and speed directly impact business outcomes. If you love solving real-world problems, thrive in fast-paced environments, and take pride in shipping great products, this role is for you.What you’ll doDesign, build, and maintain scalable features across the full stack (frontend, backend, and infra).Collaborate with Product to break down scope into iterative, high-impact releases.Integrate cutting-edge LLM capabilities into real enterprise workflows.Work on an AI-first product, integrating cutting-edge LLM capabilities into enterprise customer support workflows.Solve complex engineering challenges, from optimizing API performance to refining microservices architecture.Maintain and improve our cloud infrastructure (AWS) with a DevOps mindset.Exercise high agency and ownership—taking initiative, making decisions, and driving ideas to production.Who you are3+ years building in Node.js, React, TypeScript, and Express.Strong with PostgreSQL, Redis, and cloud environments (AWS: Fargate, Lambda, EC2, SQS).Familiar with CI/CD (CodePipeline, GitHub Actions, or similar).Experience with microservices and scalable systems.Product-driven—you care about the impact of what you ship, not just the code.AI-first—you live in Cursor, Claude Code and are comfortable orchestrating coding agents.Naturally curious and proactive; you don’t wait for instructions, you create momentum.Bonus pointsNext.js, Python, or event-driven architectures.Infra-as-code (Terraform, CDK).Experience integrating with LLMs in production.Event-driven architecture experience.Why Siena?Meaningful impact. Your work directly shapes our product and company.Globally distributed team working at the bleeding edge of CX and AI.Great salary plus the opportunity for equity or stock grants.Learning budget. If you're growing, so are we.The thrill of building something new. Join us at a stage where your contributions matter most.AI-fluency. Make AI your second nature. Tackle unsolved problems. We’re redefining how customer experience will look like in the next decades.Our valuesThe people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later. They're direct about feedback—both giving and receiving it—because they care more about getting things right than being polite. They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that's how great work gets done. When things get tough, they adapt and keep pushing forward.Our approach to AIThe people who thrive here treat AI like a natural extension of themselves. They've built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem.Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows.At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application.Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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About the Role We are building the next-generation AI-powered platform and web application for easy and fast creation of audio and video content. Building a revolutionary way to record, transcribe, edit, and mix audio and video on the web comes with a series of unique technical challenges and requires solving hard and complex problems. We are looking for an experienced software engineer to build a best-in-class video editing and streaming platform to power the core editing and AI functionality of the app. About the team: Descript’s editor product makes the creation of high quality video and audio content accessible to anyone. The product, which was originally geared towards podcasters, has grown into a broad suite of editing tools that support a wide range of use cases. The Editor team is responsible for building the product experiences that will continue to expand the capabilities of the editing experience and enable even more people to experience the ease and joy of producing content with Descript. What you bring: 5+ years of professional fullstack software engineering experience. Expertise in Typescript, React, and RESTful APIs Solid CS fundamentals, including data structures, algorithms, databases (Postgres, Redis) Experience building creative tools in the past or you're a frequent user of creative media tools A desire to have a high degree of ownership and accountability A deep understanding of system design principles and are effective at understanding and integrating customer needs into your decisions The ability to thrive in collaborative environments including when working with other functions (e.g. product, design, research, AI engineering) What the team is working on: As the owners of the core editing experience, the Editor team’s work covers a broad range of features. Building traditional editing functionality (e.g. timeline editing, effects & animations) Integrating in-house (e.g. studio audio) and third-party AI functionality to supercharge any user’s ability to make excellent video and audio content Supporting the data model and systems that manage the state of projects across clients Building media management features that enable organizations to build on Descript as a team This team might be a good fit for you if… You’re excited to work on creative tools where users’ workflows are varied and complex You’re energized by having a high degree of ownership and accountability You like to own technical solutions and are also passionate about making the best product experience possible for the user You thrive in collaborative environments and enjoy working with other functions (e.g. product, design, research, AI engineering)   At our current size and stage, we embrace a flat organizational structure and value the expertise and contributions of every team member. As such, we have a unified job title for our engineering roles where everyone, including those with Staff-level scope, is considered a Software Engineer. While titles may not change, we are actively seeking Software Engineers with senior-or-higher-equivalent experience to join our team. The base salary range for this role is $212,000-$250,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.  About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive. 

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About UsConsole is an AI platform that automates IT and internal support. We help companies scale without scaling headcount, and give employees instant resolution to their issues. Our agents understand the full context of the organization, handle requests end-to-end and pull in humans only when necessary.Today, companies like Ramp, Scale, Webflow, and Flock Safety rely on Console to automate over half of their IT & HR requests. We've won every bake-off against our competitors, closed every trial customer and expect to 10x usage by year-end.We're a small, talent-dense team: naturally curious, high-agency and low-ego. Our organization is very flat and ideas win on merit, not hierarchy. We're hiring exceptional people to keep up with demand. We're backed by Thrive Capital and world-class angels.About the roleAs a Platform Engineer at Console, you'll work on the core infrastructure and systems that will enable us to power support across hundreds of medium and large scale enterprises. You'll work closely with the CTO to architect scalable enterprise-grade systems.Some examples of work you might do:Architect, plan, and execute a self-hostable SKU of Console for enterprise customers.Execute zero downtime production migrations while evolving our infrastructure to support a massive increase in customer loadOptimize build times and setup blue-green production deployment workflowsYou'll have broad license to shape the platform design and lead devops initiatives that accelerate the velocity of the whole team.This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees.About youYou have hands-on experience designing and building foundational infrastructure zero-to-oneYou're have a deep understanding of AWS/GCP and the tradeoffs between various cloud offerings and architecturesYou've worked on high-scale, production grade systemsYou care about developer experience and productivity; you like building systems that accelerate the whole teamRequirements5+ years of full-time experience in platform or infrastructure-facing engineering rolesExperience with AWS/GCP, IaC tools like Terraform/Pulumi, and relative comfort with our stack (Typescript/Node/React) Passionate about building quality, reliable systems, and never happy with "good enough"Why join Console?Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company. World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased.Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up.Competitive pay and benefits: top compensation with full benefits including:Equity with early exercise & QSBS eligibilityComprehensive health, dental, and vision insuranceUnlimited PTO401(k)Meals provided daily in office

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About the Role AI has the potential to transform the way the world’s largest enterprises operate, unlocking new value, efficiency, and growth. Capturing this opportunity requires not just breakthrough technology, but the ability to guide organizations through complex and often disruptive change. The Sales Strategy and Operations Manager plays a critical role in this mission.This is a highly consultative position focused on nurturing, advancing, and closing complex and high-profile deals. You will build ROI models, shape value propositions, design creative pricing tied to measurable outcomes, and draft complex statements of work that span products and services. You will engage senior executives and technical evaluators alike, orchestrating the process to ensure opportunities advance with clarity and rigor to successful closure.Key ResponsibilitiesNurture, advance, and close complex enterprise opportunities.Lead a highly consultative process with multiple stakeholders, from C-suite executives to technical evaluators.Develop ROI models, business cases, and value frameworks that quantify the impact of AI adoption.Design creative pricing structures tied to measurable business outcomes.Guide prospects through the consultative sales journey, balancing strategic storytelling with detailed execution.Draft and negotiate sophisticated SOWs that integrate products and services.Coordinate input across internal teams (product, delivery, engineering, finance, marketing) to deliver coherent and compelling proposals.Contribute to the development of value propositions, sales decks, and GTM strategy for verticals and geographies.Provide structured feedback to cross-functional teams to improve offerings, pricing models, and market approach.Qualifications3–5 years in management consulting, enterprise sales strategy, or similar roles requiring analytical rigor and client-facing skills.MBA from top tier business schoolBS/MS in Computer Science and/or related fieldProven ability to develop business cases, ROI models, and value-based proposals.Experience managing complex engagements that combine products and services.Exceptional communication skills, with the ability to engage senior executives and technical stakeholders alike.Creative problem solver able to design pricing and contractual structures based on client value.Strong writing skills for proposals, SOWs, and executive-level communications.Comfortable in fast-paced, ambiguous environments where each deal requires a tailored approach.Technical curiosity and ability to translate AI capabilities into business outcomes.Performance MetricsNumber and value of complex, high-profile deals nurtured, advanced, and closed.Effectiveness of ROI models and business cases in securing executive alignment.Quality, accuracy, and timeliness of proposals, SOWs, and pricing structures.Client feedback on consultative engagement and value articulation.Contribution to GTM materials and actionable input to cross-functional teams.

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About Ema: Ema is at the forefront of artificial intelligence research and application, dedicated to creating cutting-edge AI solutions that empower users globally. Join our dynamic team to help shape the future of AI technology.Responsibilities:Create Enterprise AI Model Evaluation Test Sets: Develop and maintain comprehensive test sets tailored for various enterprise use cases.Evaluate AI Models: Assess different versions, personas, and prompts of Ema on multiple quality parameters. Ensure new features and updates meet established standards before launch.Generate AI Evaluation Reports: Compile detailed evaluation reports that provide insights for improving persona setups and Ema's AI models.Test UX Flows: Evaluate the efficacy and usability of auxiliary user experience flows to ensure seamless end-to-end GenAI usage for Ema’s users.Automate Testing Flows: Develop and implement scripts and browser automation tools to streamline testing processes. Enhance testing velocity and early issue detection to improve overall product quality.Requirements:Educational Background: Bachelor’s degree required. Degrees in engineering, linguistics, or psychology preferred.Communication Skills: Strong verbal and written English communication skills are essential.Professional Experience: 1-3 years of prior professional experience. Experience in content creation, QA testing, prompt engineering, or editing is preferred.Benefits:Stay at the cutting edge of GenAI research, guided and coached by top researchers in the field.Learn best practices for solving user problems with GenAI products.Collaborate across cross-functional teams to effectively achieve customer impact.Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.