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Latest roles in AI Product & Operation, reviewed by real humans for quality and clarity.

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H Company.jpg

Staff Engineer

H Company
0
0
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0
FR.svg
France
GB.svg
United Kingdom
Full-time
Remote
false
About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.About the Team:The Product Engineering Team is committed to ensuring the successful implementation and operation of our Agents and Inference platforms, including ancillary services, which serve the needs of our Research department and act as a foundation for agentic products and services we take to market.Key Responsibilities:Define and lead technical architecture, design, and long-term engineering roadmap.Develop and maintain complex, high-performance, and scalable systems.Mentor and guide engineers across multiple teams, fostering technical excellence.Conduct thorough code and design reviews, ensuring quality and security best practices.Collaborate with Research, Engineering, and other stakeholders to deliver impactful solutions.Drive improvements in system reliability, scalability, and observability.Establish and enforce engineering standards, tooling, and processes.Champion technical innovation and proactively address technical debt.Requirements:Technical skills:Previous demonstrable role(s) as Staff Engineer with relevant set of responsibilities and achievementsStrong 5+ years of experience in Python backend development (Flask, Django, FastAPI or similar)In-depth experience with distributed systems or cloud computing, preferably in AWSExperience building and shipping end to end solutionsExperience building APIs (REST and/or GraphQL) and integrating with external services.Expertise in relational and non-relational databasesExperience working with message queueing technologies (SQS/RabbitMQ/Kafka/etc.)Solid understanding of coding standards, architectural patterns and test frameworksExpertise in instrumentation, observability and monitoringSoft skills:Mentorship & Influence - You inspire and elevate engineers across teams - you are a true force multiplier.Cross-Functional Communication - You communicate effectively with engineers and business leaders, switching between technical and business contexts.Technical Leadership – You are able to guide teams through complex technical decisions, balancing short-term delivery with long-term architectural health.Location:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.Enjoy a competitive salary.Unlock opportunities for professional growth, continuous learning, and career development.If you want to change the status quo in AI, join us.
Software Engineer
Software Engineering
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H Company.jpg

Staff Research Engineer (Agents)

H Company
0
0
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0
FR.svg
France
GB.svg
United Kingdom
Full-time
Remote
false
About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.About the Team: The Agent team defines new learning algorithms and agent paradigms to push the frontiers of agentic systems. We build upon foundation models and reinforcement learning to develop new approaches to train artificial general agents and work closely with the LLM/VLM and Safety teams to explore new directions.This is a heavily engineering-focused role embedded within the research team. You will be responsible for defining the architecture and building the robust, scalable systems that underpin our research efforts. Your work will translate cutting-edge research concepts into high-performance, production-quality platforms, enabling the next generation of agentic AI.Key Responsibilities:Define and lead the technical architecture, design, and long-term engineering roadmap for agent research platforms.Develop and maintain complex, high-performance, and scalable systems that serve as the foundation for our research.Mentor and guide other engineers and researchers on the team, fostering technical excellence and best practices.Conduct thorough code and design reviews, ensuring quality, security, and scalability.Collaborate closely with researchers to implement, test, and productionize new agent logics and learning algorithms.Drive improvements in system reliability, scalability, and observability for our research infrastructure.Establish and enforce engineering standards, tooling, and processes within the Agent team.Champion technical innovation and proactively address technical debt to accelerate research and development.Requirements:Technical Skills:Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer with a relevant set of responsibilities and achievements.Strong 5+ years of experience in Python development.Proven experience building, scaling, and shipping end-to-end solutions involving Machine Learning models (LLMs/VLMs).Proficient in at least one deep learning (PyTorch, JAX, TensorFlow) or agentic framework (LangChain, AutoGen, CrewAI, OpenAI SDK).Expertise in instrumentation, observability, and monitoring for complex systems.Solid understanding of coding standards, architectural patterns, and test frameworks.Bonus Skills:Experience with distributed systems or cloud computing, preferably in AWS.Experience in LLM training/fine-tuning.Experience with Reinforcement Learning (RL) frameworks or algorithms.Experience developing large-scale evaluation and benchmarking systems for AI models.Soft Skills:Enjoys collaboration and teamwork in a research-oriented environment.Impactful communication skills, with the ability to bridge the gap between research and engineering.Eager to explore and solve the new engineering challenges of agentic AI.Location:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.Enjoy a competitive salary.Unlock opportunities for professional growth, continuous learning, and career development.If you want to change the status quo in AI, join us.
Software Engineer
Software Engineering
Machine Learning Engineer
Data Science & Analytics
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Parallel.jpg

Research Scientist

Parallel
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US.svg
United States
Full-time
Remote
false
At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data. We are a fully in-person team based in Palo Alto, CA. Our organization is flat; our team is small and talent dense.We want to talk to you if you are someone who can bring us closer to living our aspirational values:Own customer impact - It’s on us to ensure real-world outcomes for our customers.Obsess over craft - Perfect every detail because quality compounds.Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.Create win-wins - Creatively turn trade-offs into upside.Make high-conviction bets - Try and fail. But succeed an unfair amount.Job: Our first dedicated research hire - you will answer the question: how to train and scale a model that can serve a web index?You: Have deep intuition on modern models and training. Like to argue how search, recommendations, and transformer models can converge. You care about your research being applied to product and systems that millions use.Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.
Research Scientist
Product & Operations
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Lumi AI.jpg

Platform Product Manager

Lumi AI
USD
0
180000
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230000
US.svg
United States
Full-time
Remote
false
About LuminaiNearly every organization in the world relies on complex manual work to carry out critical internal processes. These are processes that keep the world going — enrolling patients in a hospital, underwriting loans inside a bank, or processing new transactions for an airline. Yet most companies don’t have enough resources to properly automate these tasks and are stuck in manual, decades old way of doing things. At Luminai, we develop technology to automate long-form organization wide workflows of any complexity easily and safely using AI. Luminai serves some of the world’s most critical organizations in sectors like Healthcare, Finance, and Telecommunication to delegate mission-critical workflows that previously required hands-on human involvement, over to autonomous AI systems. Our approach combines frontier AI development, with a purpose built workflow execution engine to achieve this goal. We've raised significant amounts of capital (including some un-announced) from many of the best Silicon Valley VCs: General Catalyst, YCombinator, and investors including Kevin Weil (Chief Product Officer at OpenAI), Arash Ferdowsi (co-founder of Dropbox), Katie Stanton (former VP Global Media, Twitter) and CEOs of companies including Flexport, Notion, Front, Ramp and Twitch.What you’ll doAs a Product Manager on the Luminai team, your mission will be to define, build, and launch new 0 to 1 products to drive high user impact across healthcare organizations.Within your first 6 months at Luminai, you’ll be responsible for successfully launching and scaling new frontier offerings. As a product leader, you’ll be responsible for the entire lifecycle of new product initiatives--from product scoping to scaled rollout.Define and scope frontier products: Build a deep understanding of customer needs and translate them into actionable product specifications within the first 3 months. Deliver meaningful product capabilities that enhance customer value and support Luminai mission within the first 6 months.Build, launch and scale: Lead the entire product lifecycle, from ideation and prototyping to launch and post-launch optimization. Collaborate closely with cross-functional teams to ensure seamless, scalable implementations within the first 6 months.Platform strategy: Develop and maintain a product roadmap aligned with business goals, balancing short-term deliverables with long-term strategy. Set clear, measurable OKRs and track product success against these metrics for product area.Product ownership: Act as the driving force behind collaboration between product, engineering, design, and GTM teams and enablement for sales and customer success to ensure your platform delivers customer value.Who we're looking forYou have 3+ years of product experience working on 0 to 1 problemsYou have a founder / ownership mindset to product management with a proven ability to take products from ideation through launch and scaleStrong functional technical understanding, with experience managing platform-related products, APIs, or cloud-based systems.You can set and track against OKRs and take a proactive ownership mindset to keep leadership informed on accomplishments and next stepsYou have a strong track record of aligning across multiple cross-functional teams and leading product initiatives by working effectively with engineering, design, and other stakeholdersProficiency in defining key product metrics, tracking success, and making data-driven decisions.You are comfortable working with engineering teams and understanding technical trade-offs, with experience writing detailed product specifications for both technical and non-technical audiencesYou are results-oriented and focus on delivering measurable value for customers, always tracking and achieving key product metrics
Product Manager
Product & Operations
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Notable.jpg

Integrations Specialist

Notable
USD
0
115000
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140000
No items found.
Full-time
Remote
true
Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff. We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale. Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together.Role Summary:Notable is seeking an experienced Integration Specialist to join our growing team. This role sits at the critical intersection of engineering, product, and implementation. As a member of our Integrations team, you will play a foundational role in configuring and building robust integrations and automations that connect our customers’ systems (e.g., EHRs, PMs, CRMs) to Notable’s Flow Builder orchestration platform.While integrations are your primary job, you will become a deep expert in our Flow Builder platform to master how data moves into and out of automations and how to hydrate them with data from external systems. You will be a key driver in the work you perform - expected to be independent yet collaborative, deliver with urgency, find answers where they don't exist, and ruthlessly prioritize based on impact. Deep experience with healthcare data standards and integration engines is essential for success in this role.If you are a proactive problem-solver with a background in integration engineering, technical solution architecture, or a similar field—and you're excited to make an immediate impact - we would love to meet you.What You’ll Do:Gather integration requirements with Delivery leads, product managers, and customer engineers, then translate them into Flow Builder designs and specifications.Configure and build interfaces using Mirth Connect, FHIR and proprietary REST APIs, HL7 v2, X12 EDI, and client SQL / report based extracts.Own an active customer portfolio - planning, prioritizing, and communicating Delivery dates while balancing quick wins with quarterly roadmap work.Prototype and publish reusable “subflows” and connection templates that cut repeat work across customers.Write and run rigorous test plans, then shepherd code through staging and production with zero-defect expectations.Monitor platform performance, surface bottlenecks, and propose data-model or infrastructure changes that improve scale and reliability.Collaborate with the Connector Product Engineering pod on the integration roadmap, including planning for new feature enhancements, prioritizing bug fixes, and participating in backlog grooming.Partner with the Flow Builder Product Engineering pod to advocate for and advise on enhancements to the core flow building experience as a whole.Troubleshoot escalations, lead root-cause analysis, and guide customers through resolution steps.Mentor junior team members on integration patterns, project discipline, and healthcare data standards.What We’re Looking For:5+ years of experience in healthcare, focused on data integration, technical solution leadership, or adjacent engineering/product roles.Hands-on experience with at least one integration engine (Mirth, Rhapsody, Corepoint, IRIS, or similar).Comfortable reading and writing HL7 v2 or X12, querying data with SQL, and consuming REST / FHIR APIs.Professional coding background in JavaScript, TypeScript, or Python, plus familiarity with JSON and XML.Strong project ownership - you proactively surface risks, manage competing priorities, and deliver on commitments.Clear communicator who can explain complex concepts to both technical and non-technical audiences.Systems thinker who enjoys balancing immediate customer needs with platform scalability.Bonus Points:FHIR bulk-data know-how.Exposure to major EHR vendor APIs (e.g., Epic Showroom/Vendor Services, Oracle Cerner CODE, AthenaOne APIs).DevOps literacy (Docker, CI/CD).Experience migrating interfaces between different integration engines.Beware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be me from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.
Solutions Architect
Software Engineering
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Retell AI.jpg

Founding DevOps Engineer

Retell AI
USD
0
215000
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290000
US.svg
United States
Full-time
Remote
false
About Retell AIAt Retell AI, we're not just automating calls—we’re transforming how the world communicates. Our AI voice agents are reshaping sales, support, and customer engagement for leading brands. Backed by Alt Capital, Y Combinator, and top-tier investors, we've raised $4.7M in seed funding and hit $14M ARR with just 12 people.We’re one of the fastest-growing Voice AI startups and we're on a mission to become the standard for voice automation at scale. We're also one of the top ranking startups at https://leanaileaderboard.com/.About the RoleAs a Founding DevOps Engineer, you’ll be the owner of our build, release, and runtime foundations. You’ll design and automate deployment pipelines for both cloud SaaS and on-prem environments, orchestrate containers at scale, and ship reliable releases that meet compliance requirements. You’ll work cross-functionally with product, security, and customer teams—then turn what you learn in the field into reusable platform capabilities.Key ResponsibilitiesOwn CI/CD end-to-end: design, implement, and operate pipelines with blue/green, canary, and phased rollouts; define graceful draining for HA systems.Architect, maintain, and harden Kubernetes-based runtime (Docker, Kubernetes, Helm), including multi-cluster and multi-tenant concerns.Manage cloud deployments across AWS/Azure/GCP and coordinate with on-prem infrastructure teams; standardize with IaC (e.g., Terraform).Implement robust observability (metrics, logs, traces), SLOs/error budgets, and automated rollback/one-click restore.Partner with compliance to integrate SOC 2 / ISO 27001 / HIPAA controls into pipelines (artifact signing, SBOMs, change management, access/keys).Deploy at customer sites (cloud or on-prem), collaborating with client teams for integration, runbooks, and handover.Lead incident response & postmortems; drive resilience, cost, and performance improvements.Document release processes and platform conventions; codify best practices into tooling and templates.You Might Thrive If YouHave deep hands-on experience with a major cloud (AWS, Azure, or GCP) and container orchestration (Kubernetes, Helm).Build production-grade CI/CD with GitHub Actions / GitLab CI / Jenkins (or similar), including complex rollout strategies.Have shipped both SaaS and on-prem solutions, navigating networking, security, and environment drift.Can integrate compliance and security into delivery (secret management, image signing, policy-as-code).Are comfortable with networking fundamentals, security hardening, and performance tuning.Communicate clearly, move fast in ambiguity, and enjoy being the responsible adult in prod.Job DetailsJob Type: Full-time, 70 hr/week (50 hr/week onsite with flexible hours + 20 hr/week work from home)Cash: 215k - 290kEquity: 0.3 - 0.6%Location: Redwood City, CA, USUS Visas: Sponsors Visa & Green CardOther Benefits100% medical, dental, vision insurance coverageUnlimited breakfast, lunch, dinner, and snacksGym and daily commute fee reimbursementInternet and phone bill coveredCompensation PhilosophyBest Offer Upfront: Choose from three cash-equity balance options, no negotiation needed.Top 1% Talent: Above-market pay (top 5 percentile) to attract high performers.High Ownership: Small teams, >$1M revenue/employee, and significant equity.Performance-Based: Offers tied to interview performance, not experience or past salaries.Interview ProcessOnline Assessment (25–30 min): One HackerRank coding questions on practical problem-solving (7 days to complete).Technical Phone Interview 1 (30 min): Live coding on CoderPad, focusing on data structures and algorithms.Technical Phone Interview 2 (30–45 min): Full-stack development with JavaScript, TypeScript, React, and Node.js in a local environment.Onsite/Virtual Interviews (2-3 hrs): Hosted in our office if located in the Bay Area or virtual, with three rounds:DevOps Build & Run: Design a Kubernetes deployment with blue/green, draining, and a 2-hour instance lifetime constraint; walk through rollout/rollback.Communication (FDE-style): Partner exercise on explaining trade-offs and aligning stakeholders.Systems Design (DevOps): Architect a generalized on-prem solution deployable across multiple clouds with different data stores, key vaults, encryption, availability/failover, monitoring, upgrades, and maintenance.Learn MoreRetell AI - API That Turns Your LLM Into A Human-Like Voice AgentRetell AI Basics: Everything You Need to Start Building Voice AgentsJoin Retell AI to shape the future of voice automation, building scalable, impactful full-stack systems that redefine AI-driven communication.
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Crusoe.jpg

Staff/Senior Staff Software Engineer - Cloud Hypervisor R&D

Crusoe
USD
0
204000
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247000
US.svg
United States
Full-time
Remote
false
Cruose's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:The Crusoe Cloud Software Development team is seeking a passionate and experienced Senior Staff Software Engineer specializing in Hypervisor Virtualization and Virtualization Research. This pivotal role is critical in the design, development, and optimization of our virtualization technologies, specifically tailored for an all-AI cloud infrastructure. A deep understanding of hypervisor internals, CPU and memory virtualization, I/O virtualization, and performance optimization is essential for developing reliable, high-performance, and secure virtualized environments that power our cutting-edge AI products. This is a full-time position.What You’ll Be Working On:Hypervisor Development & Optimization: Design, develop, and optimize core hypervisor components (e.g., KVM, QEMU, or custom solutions) to achieve maximum performance and efficiency for AI workloads. This includes focusing on CPU, memory, and I/O virtualization techniques.Virtualization Research & Innovation: Conduct in-depth research into advanced virtualization technologies, exploring novel approaches for isolating and accelerating AI compute, storage, and networking resources. Identify and prototype new virtualization features and enhancements to improve density, throughput, and latency.Virtual Hardware & Device Emulation: Develop and enhance virtual hardware components and device emulation, ensuring optimal performance and compatibility for specialized AI accelerators (e.g., GPUs, DPUs) within the virtualized environment.Performance Analysis & Tuning: Analyze and enhance the performance of the entire virtualization stack, from the hypervisor to the virtualized guest OS, with a specific focus on optimizing for AI/ML workloads. This includes profiling, bottleneck identification, and implementing low-level optimizations.System-Level Troubleshooting: Diagnose and resolve complex system issues within the virtualization layer. Work closely with hardware and guest OS teams to debug and resolve integration challenges.Code Review and Quality Assurance: Conduct thorough code reviews to ensure the highest level of software quality, reliability, and security within the hypervisor and virtualization components.Cross-Functional Collaboration: Collaborate with other engineering teams, including hardware design, OS development, and AI/ML application teams, to ensure cohesive and integrated product development.Technical Leadership: Provide technical guidance and mentorship to junior engineers, fostering a culture of technical excellence and collaborative problem-solving within the virtualization team.What You’ll Bring to the Team:Hypervisor Expertise: Proven deep knowledge of hypervisor internals (e.g., KVM, QEMU, Xen, or other bare-metal hypervisors), including CPU virtualization (VT-x/AMD-V), memory virtualization (EPT/NPT, MMU), and I/O virtualization (SR-IOV, virtio).Virtualization Concepts: Strong understanding of virtual machine lifecycle, live migration, snapshotting, and fault tolerance mechanisms.Linux Kernel Familiarity: Experience with Linux kernel internals as they pertain to virtualization, including device drivers, memory management, and scheduling within a virtualized context.Hardware Understanding: Familiarity with hardware architectures relevant to virtualization, including CPUs (x86, ARM), GPUs, and Smart NICs/DPUs. Experience with hardware offloads and acceleration for virtualization.Performance Optimization: Demonstrated ability to identify and resolve performance bottlenecks in complex virtualized systems. Experience with profiling tools and techniques.Debugging & Troubleshooting: Strong debugging skills in complex, distributed systems at the hypervisor and kernel levels.Bonus Points:Experience with virtualization specifically for AI/ML workloads, including GPU virtualization or direct pass-through.Familiarity with container runtimes and their interaction with hypervisors.Contributions to open-source virtualization projects.Experience with security hardening of hypervisors and virtual machines.Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid Commuter FSA benefit of $200 per monthCompensation:Compensation will be paid in the range of $204,000 - $247,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Software Engineer
Software Engineering
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Senior Software Engineer, Backend Development (Ad Cloud Platform team)

Appier
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TW.svg
Taiwan
Remote
false
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 Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, Backend Development at Ad Cloud Platform Team, you will design and build scalable and performant backend architecture, own and drive the technical roadmap for sizable projects or services, mentor junior engineers, and facilitate high performance agile teams collaborating with cross-functional teams.   About you  [Minimum Qualifications] 3+ years of hands-on experience in backend software development, particularly with high-performance, high-concurrency systems. Proficient in one or more of the following languages, Python is preferred. Strong experience in system design and architecture for scalable and distributed systems, especially within a Linux environment. Good understanding of Network API Design (e.g., RESTful APIs, gRPC, GraphQL) and experience with message queues (e.g., Kafka, Pub/Sub) for data pipelines. Solid knowledge of SQL/NoSQL databases (e.g., MySQL, MongoDB, Redis, ClickHouse, PostgreSQL) and experience with database optimization and scaling strategies. Familiarity with DevOps practices, including CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure). Experience with observability tools (e.g., Prometheus, Grafana) and robust monitoring and alerting implementation. Proactive, excellent problem-solving skills, and strong communication in a cross-functional team setting.   [Preferred Qualifications] BS/MS degree in Computer Science or a related field. Demonstrated ability to develop complex business features with PM, QA, and front-end engineers.. Experienced in promoting backend architecture upgrades or improving development processes.   #LI-AK1
Software Engineer
Software Engineering
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Console.jpg

Applied AI Engineer

Console
USD
0
200000
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350000
US.svg
United States
Full-time
Remote
false
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 an Applied AI Engineer at Console, you’ll work on the core agent loop and the many AI flows that make our product feel like magic. You will work closely with the product team and leadership to ship experiences which delight users and "just work".Some examples of work you might do:Building a copilot agent that human agents can delegate work to and get 10x more doneArchitecting product flows that collect user feedback and feed into online evals for rapid iterationLearning from unresolved tickets and suggesting new automations to customers automaticallyYou'll have room to be creative, own projects end-to-end, and shape both the platform and the product vision.This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees.About youYou're a product builder with strong generalist technical skills, and you know how to maximize your impact to deliver great experiences for users and customersYou have great taste; you understand that the best AI experiences feel great to use and you care deeply about getting the details rightYou carefully study data to discover qualitative insights from individual traces and can build quantitative systems to evaluate performance at scaleYou're immersed in the world of frontier AI and constantly learning about effective AI architectureYou've worked on AI systems with real usage and know how to iterate effectively on production agentsRequirements4+ years of full-time software engineering experience, with a recent focus on applied AI product engineeringComfortable working and contributing across the entire stack (Typescript/Node/React)Obsessed with building incredible product experiences for users, 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
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
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AI Investment Partner (Sr Director), Taiwan

Appier
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TW.svg
Taiwan
Remote
false
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, data analysis, distributed systems, and marketing. About the Role: We are looking for a highly strategic, entrepreneurial, and impact-driven Investment Partner to join Appier's Strategy Team. This high-impact leadership role is responsible for driving Appier's strategic investments in early-stage startups (Seed to Series A), focusing on companies with innovative technologies especially around the theme of agentic AI. You will lead the end-to-end investment process, from sourcing and due diligence to deal execution and portfolio management, working closely with C-level leadership. This role combines deep market insight, rigorous financial analysis, and a strong ability to build relationships with founders and the broader startup community to unlock strategic growth opportunities for Appier.   Responsibilities Lead and build the end-to-end process of sourcing, evaluation, and execution of new investment opportunities in early-stage startups (Seed to Series A). Conduct comprehensive due diligence, including market analysis, competitive landscape, technology assessment, financial modeling, and team evaluation. Present investment recommendations to Appier's leadership and investment committee, articulating strategic fit and potential returns. Negotiate investment terms and structures to align with Appier's strategic and financial objectives. Support portfolio companies post-investment, providing strategic guidance, fostering synergies with Appier's products and teams, and assisting with follow-on funding rounds. Build and maintain strong relationships with founders, venture capitalists, incubators, and other key players in the startup ecosystem. Collaborate with Appier's product, engineering, and business development teams to identify and evaluate potential strategic partnerships arising from the investment pipeline. Develop and refine Appier's investment thesis and strategy in alignment with overall corporate objectives   About you 10+ years of experience in venture capital, corporate venture capital, private equity, or strategic investment roles, with a proven track record of successful investments in early-stage technology companies. Strong analytical, financial modeling, and business case development skills, particularly in early-stage valuations. Deep understanding of the AI, advertising technology, and marketing technology landscapes. Proven ability to identify, evaluate, and lead complex investment deals. Excellent written and oral communication skills in English and Mandarin. Established network within the global startup and venture capital communities. Entrepreneurial mindset with a bias for action and execution, comfortable working independently and as part of a lean, high-performing team.   #LI-JP1  
Product Manager
Product & Operations
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Thoughtful AI.jpg

Technical Program Manager - Voice AI (Offshore)

Thoughtful
USD
0
180000
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220000
US.svg
United States
Full-time
Remote
false
Opportunity As a Technical Program Manager at Thoughtful AI, you'll be at the forefront of optimizing our offshore operations, driving transformative impact through our leading AI Agent voice product. You will leverage your expertise in data analysis, customer discovery, and project management to deeply understand operational challenges in offshore voice calls, crafting aggressive and high-impact roadmaps that prioritize cost efficiencies and amplify business value in this critical area. In this role, you'll operate with the agility of a small, empowered team and the resources to turn strategic visions into tangible results. You’ll collaborate closely with cross-functional teams of engineers, product managers, and operations leads to ensure our AI Agent voice product handles the workload typically performed by an offshore team, reducing costs while enhancing efficiency and patient outcomes in healthcare settings. This position may involve heavy travel to India to support offshore partnerships and operations. As a domain expert, you’ll own the execution for offshore voice call handling with our AI Agent voice product, focusing on a specific cost reduction target. Your technical and strategic skills will enable you to lead initiatives that deliver meaningful wins in a highly impactful area of the business, helping healthcare clients achieve unprecedented operational savings and performance. Learn more about our Warrior culture. Key Responsibilities Lead Problem Discovery: Deeply investigate and define challenges in offshore voice call operations, gathering insights from data and stakeholders to inform the strategic deployment of our AI Agent voice product. Drive Data-Driven Decision Making: Utilize data analysis and operational research to prioritize features and improvements for voice call handling, ensuring roadmap decisions align with cost reduction targets and business objectives. Exemplify Impeccable Project Management: Oversee seamless execution of offshore initiatives through detailed planning, clear communication, and proactive issue resolution, delivering high-impact projects on time while managing travel to India as needed. Serve as the Voice of Truth: Act as a trusted advisor to stakeholders, transparently sharing insights on technical limitations, offshore challenges, or opportunities related to voice call operations. Evaluate Business Impact: Assess how various technical approaches affect cost outcomes in offshore voice calls, using data to prioritize roadmaps that support targeted reductions and overall business goals. Optimize Discovery and Delivery Processes: Collaborate on creating efficient processes and playbooks for offshore voice call management, streamlining problem discovery and roadmap planning for scalable, high-quality implementations. Inform Product Design with Data Insights: Work with product and engineering teams, incorporating findings from offshore operations and customer discovery to refine the AI Agent voice product for emerging needs in voice call handling. Lead Cross-Functional Collaboration: Guide and mentor cross-functional teams, including program managers, engineers, and offshore partners, to ensure aligned exploration and execution of voice call initiatives. Minimum Qualifications Bachelor’s Degree in Computer Science, Math, or related discipline required, or eight years of equivalent work experience. 5+ years of experience in program management, ideally with a focus on data science, machine learning / AI, voice technologies, or related fields. Experience in external customer-facing or offshore operational environments is essential. The ability to think creatively to solve problems with a straightforward approach. Exceptional written and verbal communication skills with a talent for the precise articulation of hypotheses and outcomes. Ruthless prioritization skills. An entrepreneurial mindset and determination to do whatever it takes to achieve your mission, including willingness to travel heavily to India. Preferred Qualifications Having worked in high-stakes projects with executive visibility and scrutiny, particularly in cost optimization or offshore operations. You have a strong background in technical program management, ideally from a data-heavy, AI, or healthcare technology company with experience in voice products. Experience with Python, AI, automation, RPA, OCR, voice recognition technologies, IaaS, PaaS, DevOps, and product engineering. The ideal candidate will have demonstrated the ability to work collaboratively across the organization, possess strong technical and leadership skills, and have experience building and fostering strong working relationships, including with offshore teams. Experience influencing without direct authority at senior levels of internal and external organizations, as well as strong people and negotiation skills, especially in international contexts. Ability to travel up to 25 percent of the year. Thoughtful AI Benefits Market-leading base salary and bonus. Employee stock. Medical, dental, and vision insurance for you and your dependents. We expect you to unwind and disconnect for three weeks per year while still getting paid. California Salary Range $180,000—$220,000 USD
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Software Engineering
Technical Product Manager
Product & Operations
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Build your Own Role!

Squint
USD
0
50000
-
250000
US.svg
United States
Full-time
Remote
false
About UsAt Squint, we're building technology that matters. While many tech companies focus on digital-first industries, we've set our sights on empowering the 80% of the global workforce that keeps our world running: frontline manufacturing operators. From soda cans to tires, toothpaste to chocolate bars, chips to napkin holders, these are the people who build the things you touch and see every single day.The Leading Manufacturing Intelligence PlatformSquint delivers critical knowledge to frontline workers exactly when and where they need it. Our platform transforms manufacturing operations by putting AI and AR capabilities directly at workers' fingertips, creating what we call "agentic manufacturing" – where every team member has the power to make informed decisions in real-time using practical, applied artificial intelligence tools.Proven Impact with Industry LeadersOur technology serves Fortune 500 leaders across Automotive, Consumer Packaged Goods, and Life Sciences industries. These companies trust Squint to capture and activate their essential operational know-how, resulting in measurable improvements: reduced downtime, minimized waste, and optimized productivity at scale.Technology that Respects its UsersWe build consumer-grade software that delivers enterprise-grade results on familiar devices: phones and tablets. By combining cutting-edge innovation with deep customer insights, we create tools that feel intuitive while transforming how physical production environments operate.Backed and Built by the BestWe raised a $40m Series B at a $265m valuation and are backed by elite investors; including Sequoia Capital, Menlo Ventures, TCV and The Westly Group. Our co-founders have been recognized on Forbes' 30 Under 30 for Manufacturing and Industry, and Fast Company named us one of the most innovative augmented and virtual reality companies of 2025.Join Us in Making a DifferenceWhen you join Squint, you're not just building another app – you're creating technology that improves daily work life for people who manufacture the products our world depends on. It's meaningful work with visible impact. Build Your Own Role at Squint If you don't see a perfect fit for your background, feel free to submit a resume below. Let us know what impactful skills and experiences you bring to table and why you'd be a great addition to the team. We're always on the hunt for world-class talent so if there's a fit, we'll reach out! BenefitsCompetitive Salary and EquityComprehensive Medical, Vision, and Dental careFlexible PTO PolicyLunch and Dinner ServiceWellness BenefitMaven Family Planning BenefitsPartnership with Care.comMental Health Services401(k) Retirement PlanPre-Tax Commuter Benefit for Parking & Public TransitCompany-wide Retreats A Final NoteWe are committed to creating a diverse and inclusive workplace. Squint is an equal opportunity employer, welcoming applicants from all backgrounds without regard to race, gender, age, or any other protected characteristic. We encourage you to apply even if you're not quite sure you fit all the requirements for the role! Ready to redefine the future? Join us at Squint and be a part of something revolutionary.
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Senior Software Engineer, Tooling and Development Infrastructure

HP IQ
USD
0
140000
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225000
US.svg
United States
Full-time
Remote
false
Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role As the Senior Software Engineer, Tooling and Development Infrastructure, you will play a critical role in shaping the developer productivity tools and automated testing strategy. You’ll collaborate closely with design, development, and quality teams to plan, design, and implement robust automated tools and services that ensure the quality and reliability of our AI software stack. You will be highly hands-on in your work and collaborate closely with stakeholders. This position offers a unique opportunity to influence the development of cutting-edge automation frameworks, foster a culture of quality, and contribute to the long-term success of the organization. What You Might Do Develop and implement automation frameworks and testing strategies that cover the entire software stack, from backend systems to user-facing features. Identify, evaluate, and integrate new tools that streamline development. This includes everything from code quality tools and to Infrastructure-as-Code (IaC) solutions. Lead continuous improvement efforts for our build, release, and test systems, ensuring a robust and efficient CI/CD pipeline. Explore and implement AI tools, such as the OpenAI API, to create both deterministic and non-deterministic testing approaches that uncover hard-to-find bugs. Design and build reusable automated tests and tools that establish a high standard for the team, empowering other engineers to adopt and contribute to best practices. Partner with System Software, Automation, and Test teams to ensure testing strategies are integrated and aligned across the organization. Use your deep understanding of system logs and backend processes to diagnose and resolve complex issues that arise during testing. Essential Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). 5+ years of experience in automation engineering. Hands-on experience working with Linux and Windows. Strong proficiency in developing tools for test automation. Deep understanding of observability and telemetry. Good understanding of complete software development life cycle. Proficiency in Python or other object-oriented programming languages. Preferred Skills You have a deep understanding of the entire development ecosystem and can design and implement scalable build, release, and test systems. Expertise with CI/CD pipelines is critical, with hands-on experience in platforms like Jenkins, GitHub Actions, or GitLab CI. You are proficient with test automation frameworks such as Pytest, and can lead the adoption of these tools to ensure product quality. You are experienced with observability and monitoring tools, including Splunk, to provide deep insights into system behavior and performance. Experience with consumer electronics a plus Familiarity with ML Usage. Some familiarity with how to leverage machine learning models in a product environment is a plus. Strong Interpersonal and Leadership Skills. You possess excellent communication skills and a proven ability to manage cross-functional relationships, driving alignment and collaboration with system software, automation, and test teams. Salary: $140,000- $225,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement
Software Engineer
Software Engineering
DevOps Engineer
Data Science & Analytics
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Cloud GTM Partnerships Lead, APJ

Anthropic
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JP.svg
Japan
Remote
false
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: Anthropic is seeking an exceptional leader to drive our strategic go-to-market partnership with cloud partners. In this pivotal role, you will own and scale our most significant strategic relationships for Anthropic’s acceleration into APJ, responsible for large scale revenue opportunities through our cloud partnerships. You will work closely with senior leadership across both partner organizations to drive joint success, shape strategy, and accelerate the adoption of Anthropic's AI capabilities through our Global Partner ecosystem. You will build and lead the strategy to maximize our cloud partnerships potential while ensuring our solutions are deployed safely and responsibly. This role offers the unique opportunity to shape how frontier AI technology is commercialized at massive scale. In this role, you will drive exponential growth for Anthropic in APJ through our cloud partnerships while shaping how companies adopt and implement frontier AI technology. You'll be responsible for building programs that will scale across APJ markets and segments, and developing the blueprint for how we and our cloud partners in the region will partner to drive joint success. Responsibilities: Develop and execute comprehensive GTM strategy for our cloud partnerships, including co-selling motions, enablement programs, and joint business plans Drive strategic planning and execution of joint marketing and sales initiatives, including major customer engagements Build and maintain executive-level relationships across cloud partners Own forecasting, pipeline development, and revenue targets for the partnership Create and implement scalable processes for partnership operations, including escalation management and reporting Provide strategic market intelligence and competitive insights to inform product and business strategy Design and execute segment-specific sales plays and enablement programs Lead cross-functional efforts with U.S. GTM teams, providing strategic direction and operational excellence for how these teams can partner effectively with APJ cloud partners Lead quarterly and annual business reviews with key stakeholders Identify and develop strategic opportunities to expand partnership scope and impact You may be a good fit if you have: 10+ years of enterprise technology experience, with at least 7 years in strategic partnerships and/or enterprise sales leadership. Experience leading strategic partnerships for a B2B SaaS Startup strongly preferred.  Proven track record of 0-1 building and scaling multi-billion dollar technology partnerships in the APJ region, including cloud providers (e.g. AWS, Google Cloud) Deep understanding of enterprise software and cloud services Experience leading large, cross-functional teams in complex organizational environments Strong executive presence and demonstrated ability to influence senior stakeholders Track record of developing and executing successful co-selling strategies Excellence in strategic planning, business operations, and program management Deep understanding of enterprise sales motions and channel dynamics Ability to balance strategic thinking with tactical execution Experience working with technical products and translating complex capabilities into business value  Logistics 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
Business Development
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Principal Software Engineer (L6-L8)

Wispr Flow
USD
0
240000
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320000
US.svg
United States
Full-time
Remote
true
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 a Principal Software Engineer at Wispr, you’ll play a crucial role in building the first capable, habit forming voice interface that scales to a billion users. 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?Previous founding or startup experienceFluency in Typescript, React, and PythonUser-focused design intuition and design tasteAttention to detail and eagerness to learnAptitude 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.
Software Engineer
Software Engineering
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Enterprise Development Representative

Resolve AI
-
US.svg
United States
Full-time
Remote
false
About Resolve AIAt Resolve, we’re building Agentic AI that empowers software engineers by automating production engineering and SRE workflows. Our models deeply understand production systems — from code to databases — taking on repetitive, high-pressure tasks and handling critical incidents autonomously, so engineers can focus on building.Our founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.We raised a $35M Seed round from top-tier investors like Greylock, Unusual Ventures, Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn) and Fei Fei Li (Professor, Stanford).Joining Resolve AI at this stage of our journey is a once-in-a-lifetime opportunity. You’ve already decided that you want to work at an AI-native company that’s pushing the limits of how engineers work, and now you’re looking for the right one. At Resolve, we’ve brought together experienced (and successful) entrepreneurs, experts in understanding our customers, and leading innovators in AI and distributed systems. Now we need the right people to help us tell that story—one prospect at a time. Join Resolve as a founding go-to-market team member, helping us build and execute the playbook to drive repeatable revenue while also building a respected brand within the engineering community.What You’ll DoUse modern tools, including leading sales prospecting products, AI, and your own creativity, to identify high-propensity leads.Engage these leads with timely, relevant messaging across channels, including email, calls, social media, and events, to schedule meetings with engineering personas that generate pipeline.Rapidly engage and qualify inbound leads to provide immediate value to the prospect while determining their potential fit for Resolve’s offerings.Work hand-in-hand with colleagues in GTM to deliver delightful prospect experiences, primarily by sharing feedback to create a cohesive prospect engagement strategy that prospects genuinely value.Serve as the ear to the ground for the GTM organization, staying up to date on product knowledge, industry trends, and the competitive landscape, quickly becoming a knowledgeable expert in our customers and our space.Record your activity and what you’re learning in a system of record (aka CRM), enabling the Resolve GTM organization to quickly learn what’s working, what’s not, and how to execute at the highest level.What We’re Looking For0.5 to 1+ years of experience in a pipeline-generation role, ideally within a tech startup or other fast-paced, high-growth environment.Demonstrated ability to source and qualify leads, ideally with your own playbook. You’re the person your peers want to emulate.You’ve been a top performer because you know what it takes to get there. You track the input to predict the output.You have the confidence that you’ll figure it out, and the sense of urgency to move quickly to make it happen. You thrive in fast-paced, sometimes ambiguous environments, and are capable of handling change and uncertainty with confidence. You’ll challenge the status quo when things aren’t working, and you’ll be open to new ideas that deliver better results.You’re fluent in the language of your prospects, both in written and spoken form (maybe even memes?), and you can navigate conversations whether you’re speaking with an engineering leader or an on-call engineer.You need to like technology. We’ll give you the tools to be highly successful, but we expect you to use them, and even introduce new tools that give us a leg up. You’ll need some familiarity with CRM systems (e.g., Salesforce, HubSpot), as well as sales engagement tools like Apollo. We expect you to become ultra proficient with tech so that you can exceed your goals in support of company goals.Why Join Resolve AI?Make a Real Impact: Join a mission-driven team tackling complex challenges that deliver meaningful outcomes for customers and revolutionize engineering operations.Shape Agentic AI’s Future: Help build the next frontier in enterprise software and define its transformative impact.Own Your Work: Take end-to-end responsibility in your role in a collaborative, high-trust environment.Accelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights.Competitive Benefits: Competitive Pay Packages with full benefits including:Equity with Early Exercise & QSBS EligibilityComprehensive Medical, Dental, and Vision InsuranceMonthly Housing StipendFlexible (Unlimited) Paid Time OffVisa Sponsorship & Immigration Support401(k) PlanParental LeaveDiscretionary Tech Benefit StipendDaily in-office Lunches and DinnersWe are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. 
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Technical Director - Financial Services

Faculty
0
0
-
0
GB.svg
United Kingdom
Full-time
Remote
false
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.We're looking for a Technical Director to join our Professional and Financial Services business unit. This is a new, senior-level position created due to rapid growth and increased demand. The ideal candidate will be an established technology leader with a strong background in AI and machine learning, particularly within the financial services sector. You will balance technical expertise with commercial and strategic leadership, driving the development and delivery of high-caliber AI solutions for our clients, which include banks, asset managers, insurers, and law firms. Your role will be to lead and mentor a team of world-class data scientists and machine learning engineers, and you will work with the business unit leadership to develop a differentiated technical vision for the business unit.What you'll doTechnical Leadership and DeliveryProvide hands-on technical guidance for complex, high-priority projects (40% of your time).Lead the development and delivery of advanced AI solutions and ensure technical excellence across the business unit.Advise on solution architecture, advanced modelling and engineering best practices.Identify and implement new tools and processes to enhance delivery quality.Team Leadership and StrategyDefine and champion the technical vision for our professional and financial services clients.Lead recruiting, team structure, and professional development for technical staff.Collaborate with the Business Unit Director on commercial strategy and project resourcing.Business DevelopmentAct as a technical authority in client meetings to secure and expand market opportunities.Create and share technical thought leadership through conferences, articles, and other media.Identify new market opportunities and technologies.Who we're looking forAn experienced technology leader with a track record of successfully leading AI/ML strategy and project delivery.Strong understanding of MLOps, with experience deploying commercially valuable AI applications in financial services.Experience leading full-stack technology teams, with a solid grasp of systems architecture and engineering fundamentals.Knowledge of the financial services landscape, including commercial drivers and the ability to articulate how AI can accelerate business outcomes.Strong communication skills, with the ability to explain complex technical information to both internal and external stakeholders.A proven interest in and ability to mentor and develop team members.A pragmatic and outcome-focused mindset, balancing big-picture strategy with real-world execution. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.
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Full Stack Engineer

Bland
USD
120000
-
180000
US.svg
United States
Full-time
Remote
false
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 Full Stack Engineer at Bland, you'll own entire product features from concept to customer delight. You're crafting the interfaces that make voice AI accessible to enterprise teams, building the dashboards that customers actually use, and creating the workflows that turn complex AI capabilities into intuitive user experiences.What You'll DoOwn features end-to-end: Take product ideas from initial concept through UX design, frontend implementation, backend architecture, and production deployment.Build intuitive AI interfaces: Create dashboards, configuration tools, and analytics views that make complex voice AI capabilities accessible to non-technical users.Design seamless workflows: Build user experiences that guide customers through agent creation, testing, deployment, and optimization with minimal friction.Integrate across systems: Connect frontend experiences with our voice AI backend, telephony infrastructure, and customer data systems.Focus on customer impact: Work directly with Deployment Engineers and customers to understand pain points and translate them into product solutions.Ship fast and iterate: Launch features quickly, gather real customer feedback, and continuously improve based on actual usage patterns.What Makes You a Great FitFull-stack expertise: 3-5 years building modern web applications with both frontend and backend components. You're comfortable across the entire stack.Product mindset: You think beyond just implementing specs—you understand user needs, question requirements, and suggest better solutions.UX sensibility: You have an eye for good design and user experience, even if you're not a dedicated designer. You know what makes interfaces intuitive vs. confusing.Startup experience: You've worked in fast-moving environments where you own outcomes, wear multiple hats, and figure things out as you go.Bonus Points If You HaveKnowledge of React, TypeScript, Node.js, or similar modern web technologiesExperience at B2B SaaS companies building for enterprise usersUnderstanding of voice technology, AI/ML interfaces, or developer toolsHow You Show UpCustomer-obsessed: You care deeply about user experience and think about how every feature impacts the customer journey.Quality-focused: You ship polished features that work reliably, not just functional prototypes. You care about adding that loading animation.Collaborative: You work seamlessly with designers, product managers, and engineers to deliver cohesive experiences.Iterative: You launch quickly, measure results, and continuously improve based on real customer feedback.Ownership mindset: You take full responsibility for your features' success and proactively solve problems.You'll Thrive Here If...You enjoy seeing customers use and love features you've builtYou like working on products that solve real business problems for enterprise teamsYou're excited by the challenge of making complex AI technology simple and accessibleYou want to have significant impact on product direction and user experienceTech Stack We UseFrontend: React, TypeScriptBackend: Node.js, PostgreSQLBenefits 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-$180,000
Software Engineer
Software Engineering
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Product Marketing Lead

Clarion
USD
0
120000
-
160000
US.svg
United States
Full-time
Remote
false
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 built Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML 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 startup.Solving a massive healthcare challenge: We're addressing a critical problem in healthcare communication that affects millions of patients.Cutting-edge tech frontier: You'll be marketing the future of healthcare AI—translating breakthrough voice technology into stories that resonate with healthcare leaders and patients alike.In-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 culture.What You'll Be Working OnBuild the marketing engine from zero: Establish foundational systems for demand generation, content production, and campaign management that scale with our growthCreate customer stories that close deals: Develop case studies, ROI calculators, and reference programs that prove Clarion's value to skeptical healthcare buyersOwn our digital presence: Write weekly LinkedIn posts, publish blog content, optimize SEO, and build our online authority in healthcare AILead conference strategy: Identify key events, manage booth presence, coordinate speaking opportunities, and turn conference leads into pipelineLaunch products that drive adoption: Write launch messaging, create sales materials, drive adoption campaigns, and ensure customers actually use new features after releaseEnable sales with competitive intelligence: Arm our team with battlecards, objection handling, and market insights that help them win against incumbents and startups alikeRequirements3-5 years of B2B marketing experience: Track record of generating pipeline and influencing revenue, ideally in healthcare tech or SaaSProven impact: Can point to specific campaigns that drove real pipeline and closed dealsSelf-sufficient: Comfortable as a one-person marketing team who strategizes Monday, ships by Wednesday, and measures by FridayHealthcare fluent: Understands how health systems buy technology and can translate AI into clear value for both clinical and business buyersMetrics focused: Tests constantly, measures everything, and makes decisions based on what worksIn-person collaboration: Excited to work from our NYC office dailyYou're a Good Fit IfYou're a creative generalist who can strategize, write, design, and ship—wearing multiple hats without losing qualityYou obsess over pipeline metrics, not vanity metrics—every campaign ties back to demos booked and deals influencedYou can make complex AI feel simple and essential to overwhelmed healthcare teams who've been burned by tech beforeYou thrive as a team of one, building the marketing engine from scratch while collaborating closely with sales and productYou have taste—you know what good looks like and won't ship anything that doesn't meet that barYou're ready to test bold ideas, from LinkedIn thought leadership to unexpected guerrilla campaigns that break through the healthcare tech noiseWhat We OfferDirect mentorship: Work closely with our founding team and experienced leaders who will invest in your professional developmentMeaningful 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 work directly affects healthcare access for millions—every provider you bring onboard helps hundreds of patients get the care they needInterview ProcessAt each stage, we decide within 24 hours and update you shortly after:First Chat (20 min) [Virtual]: Discussion about your product marketing experience and interest in healthcare transformationMarketing Deep Dive (45 min) [Virtual]: We'll explore your approach to positioning, messaging, and how you've driven revenue through marketingMarketing Exercise (Take-home): Create a positioning document and sales one-pager for a specific healthcare segment, demonstrating your ability to craft compelling narrativesTeam Day (Half-day) [In-Person]: Visit our New York office to present your marketing strategy, collaborate on real challenges, and meet with founders and potential cross-functional partnersIf you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you.
Technical Marketing Specialist
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Enterprise Account Executive - United States

ElevenLabs
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United States
Full-time
Remote
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This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. There is a preference for candidates to be based in San Fransisco, with the option to work out of our office.About ElevenLabsElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create Conversational AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location. We are remote first with optional in-person offices in London, New York, San Francisco, Tokyo, and Warsaw.What we offerLearning & development: Annual discretionary stipend towards professional development. Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.Co-working: If you’re not located near one of our main hubs, we offer a monthly coworking stipend.Annual company offsite: We bring the entire company together at a new location every year.About the role We’re looking for an experienced, motivated Enterprise Account Executive to drive ElevenLabs' growth in Fortune 500 and large-scale enterprises across the United States. Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies.In this role you will:Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goalsIdentify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiencyDevelop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trendsDemonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and moreDevelop and execute account strategies to expand ElevenLabs’ presence within key enterprise verticals (e.g., healthcare, government, finance).Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts.Serve as a trusted advisor to clients, educating them on emerging trends in generative AI, voice interfaces, and conversational agents.Requirements7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms.Proven success closing seven‑figure deals and managing complex sales cycles with multiple stakeholders.Deep understanding of enterprise procurement and legal processes, with ability to accelerate deal velocity.Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value.Strong executive presence and ability to build relationships at the C‑suite and board level.Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly.Passion for voice and audio AI and how it can unlock transformative value for customers.A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale#LI-remote
Enterprise Sales
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