AI Product & Operation Jobs

false

About Conductor The rise of generative AI is fundamentally changing how people search for information and discover brands online. Conductor is the only end-to-end, AI-first platform that enables enterprises to create high-performing, valuable content at scale and ensure their brand is found everywhere customers are looking—from Google to generative AI engines like ChatGPT. Recognized by Forrester as a Leader and #1 rated by customers on G2 and TrustRadius, we are committed to building a workplace where our people can grow and make a positive impact. Conductor is a mission-driven company with a commitment to innovation, customer success, and culture. For Conductor, success is improving the lives of everyone in our orbit—our customers, our customers' customers, our employee-owners, and our communities. About the Role As a Product Marketing Manager at Conductor, you will be a strategic partner to the business and the driving force behind our product launches. You’ll drive the execution of the go-to-market plan for one of our flagship products, from shaping the narrative to executing flawless launches. You’ll join our high-performing marketing team and partner closely with R&D, Sales, and Customer Success to translate customer needs into compelling messaging and content that drives real business impact. This is a unique opportunity to be at the forefront of an industry’s AI transformation, see your impact across every department, and help define what best-in-class marketing looks like in the age of AI. What Success Looks Like (Your First 90 Days) In your first 30 days (Learn & Connect): You will focus on building foundational knowledge around our market, product, and audiences. You’ll meet with key partners in Product, Sales, and Customer Success, dive deep into our customer feedback and market research, and get hands-on with the Conductor platform to become a power user. In your first 60 days (Analyze & Contribute): You will move from learning to doing. You’ll partner on your first feature release, conduct a fresh competitive analysis for your product area, and draft your first pieces of messaging and sales collateral. You will start identifying gaps and opportunities in our current go-to-market strategy. In your first 90 days (Own & Execute): You will begin to take true ownership. You will be actively driving the go-to-market plan for a major upcoming launch, leading cross-functional planning meetings, and presenting your launch plan and recommendations to marketing leadership. You'll start establishing yourself as the go-to expert for your product area. What You'll Do (Responsibilities) End-to-End Go-to-Market: Develop and execute comprehensive go-to-market strategies for your product area, from strategic positioning and messaging to launch execution and sales enablement. Partner on the Product Roadmap: Partner with Product and R&D to manage and communicate the external-facing product roadmap, ensuring internal teams and customers are aligned on our future direction. Create Compelling Content & Collateral: Create and repurpose a wide range of high-impact materials—including web copy, datasheets, product demo videos, case studies, and competitive guides—to support the entire customer journey.   Educate and Enable Teams: Create effective sales enablement materials to empower our Sales and Customer Success teams with the knowledge and materials they need to win.   Be the Voice of the Customer: Translate deep customer insights and market data into a compelling narrative and clear value propositions that resonate in the market.   Measure and Analyze Impact: Track, analyze, and report on the impact of product marketing initiatives, using data to inform our strategy and demonstrate business impact to stakeholders.   What You'll Bring (Qualifications) Minimum 4-6 years of relevant experience in product marketing, brand strategy, or agency/consulting roles. Experience working in B2B SaaS; experience working on AI products and/or MarTech products preferred.   Track record of executing successful feature and product launches end-to-end. A proven ability to turn complex concepts into clear, compelling messaging and effective collateral that stands out in the market.   Project management and collaboration skills in a high-paced, cross-functional environment. Excellent hands-on skills, including compelling copywriting, building impactful presentations (e.g., Google Slides, PowerPoint), and experience with project management tools (e.g., Asana, Jira). Basic familiarity with design (e.g., Figma, Canva), product analytics (Heap, Pendo), and data analysis tools (e.g., Looker, Excel) is a plus. Team player - has a deep sense of curiosity and a proactive, collaborative spirit. ___________________________________________________________________________________________________________________________ Compensation: Conductor maintains competitive, performance-based compensation programs.  The NYC base salary range for this role is currently $110,000-$135,000 per year. Placement within that range will be dependent on experience. Conductor offers the following attractive benefits including: 100% covered employee medical plan, a dental & vision plans, 401(k) with employer contribution, an unlimited vacation policy, 10 sick days, short-term disability, long-term disability, generous paid parental leave, employee assistance program, flexible savings accounts, paid holidays, life and accidental death insurance, and a host of perks. Conductor LLC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Bringing in diverse perspectives and challenging our assumptions is the clear key to growth; it drives innovation, creativity, faster problem-solving, and stronger decision making. All aspects of employment including the decision to hire, promote, train, discipline, or discharge, will be based on merit, competence, performance, and business needs.  Conductor does not discriminate against any employee or applicant on the basis of race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, or other characteristics protected by state or federal law or local ordinance.  In addition, it is the policy of Conductor to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Disclosure: Conductor cares about your privacy. We are committed to maintaining your trust by protecting and processing your Personal Information that you provide to us in accordance with Greenhouse's Privacy Policy. Please take a moment to review before submitting your application. https://www.conductor.com/legal/warning-fraudulent-job-offers-recruiting-scams/

false

Job Description:We’re looking for a Software Engineer to join our team developing next-generation Ground Control Station (GCS) applications for unmanned aerial systems (UAS). This role is ideal for engineers with a strong foundation in real-time, performance-sensitive software who also bring experience with modern web technologies.  You’ll work on mission-critical software that bridges responsive user interfaces with robust backend systems, enabling human operators to plan, command, and monitor autonomous assets with precision and reliability.  What you'll do: Design, develop, and optimize ground control software that enables low-latency communication with UAVs and other autonomous platforms. Build high-performance client and server applications that support telemetry processing, mission planning, and real-time control. Implement responsive user interfaces with React and TypeScript for operator workflows and visualization of spatial data, sensor feeds, and mission state. Collaborate closely with teams across autonomy, embedded systems, backend, and UX to deliver integrated, field-ready solutions. Contribute to architectural decisions and system designs that ensure responsiveness, scalability, and fault-tolerance. Lead development efforts on key features or subsystems, from early design through deployment and iteration. Write high-quality, well-tested code and participate in peer design/code reviews.  Required qualifications:Bachelor’s degree with 4+ years of relevant experience, or Masters with 3+ years, or PhD with 1+ year. Demonstrated experience building real-time or performance-sensitive applications—preferably for UAVs, robotics, autonomous vehicles, or simulation environments. Proficiency in a strongly typed programming language (e.g. C#, TypeScript, Java, C++) with exposure to lower-level systems or protocol integration. Experience with web technologies, especially React, TypeScript/JavaScript, and Node.js. Strong software engineering fundamentals including version control, testing, debugging, and performance profiling. Proven ability to deliver high-quality software as part of a collaborative engineering team.  Preferred qualifications:Experience with GCS software, mission planning tools, or real-time visualization platforms. Familiarity with API-driven systems using REST or gRPC, and communication protocols like WebSocket or custom telemetry formats. Knowledge of standards such as STANAG 4586, Cursor on Target (CoT), or MAVLink. Familiarity with containerized environments (e.g., Docker, Kubernetes) and CI/CD practices. Exposure to distributed systems and cloud integration for telemetry data pipelines. Understanding of security best practices in control systems and networked applications. 

false

CSQ426R259 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, often serving multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point of view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams: Main use cases moving from ‘win’ to production Enablement/user growth plan Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption, and use case progression - to your Technical GM What we look for: 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL or Scala  Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related to distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management, including account, stakeholder, and resource management accountability Experience in resolving complex and important escalations with senior customer executives Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysi,s and managing delivery of complex programmes/projects Track record of overachievement against quota, Goals, or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed LI#Remote  Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.  Zone 1 Pay Range$161,300—$225,800 USDZone 2 Pay Range$161,300—$225,800 USDZone 3 Pay Range$161,300—$225,800 USDZone 4 Pay Range$161,300—$225,800 USDAbout Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

false

CSQ426R259 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, often serving multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point of view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams: Main use cases moving from ‘win’ to production Enablement/user growth plan Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption, and use case progression - to your Technical GM What we look for: 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL or Scala  Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related to distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management, including account, stakeholder, and resource management accountability Experience in resolving complex and important escalations with senior customer executives Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysi,s and managing delivery of complex programmes/projects Track record of overachievement against quota, Goals, or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed LI#Remote  Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.  Zone 1 Pay Range$161,300—$225,800 USDZone 2 Pay Range$161,300—$225,800 USDZone 3 Pay Range$161,300—$225,800 USDZone 4 Pay Range$161,300—$225,800 USDAbout Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

false

CSQ426R259 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, often serving multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point of view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams: Main use cases moving from ‘win’ to production Enablement/user growth plan Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption, and use case progression - to your Technical GM What we look for: 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL or Scala  Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related to distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management, including account, stakeholder, and resource management accountability Experience in resolving complex and important escalations with senior customer executives Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysi,s and managing delivery of complex programmes/projects Track record of overachievement against quota, Goals, or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed LI#Remote  Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.  Zone 1 Pay Range$161,300—$225,800 USDZone 2 Pay Range$161,300—$225,800 USDZone 3 Pay Range$161,300—$225,800 USDZone 4 Pay Range$161,300—$225,800 USDAbout Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

true

About the job Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video . Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2 . In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: This role sits within our Video Platform team building out and maintaining critical infrastructure powering Synthesia's video generation capabilities. You will focus on improving the resilience and scalability of our video generation pipeline. You will build comprehensive monitoring and debugging tools for the video pipeline. You will have sole ownership of projects that span months, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long-term direction of the team, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 6-12 months' time. What we're looking for: At least seven (7) years of experience as a software engineer, at least 2 on the lead level. You have experience in a high-performing engineering team that is operating at scale. This could come from a scale-up environment or a more established organisation recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on server side and all things back end related. BE only experience is OK if you are happy to occasionally help out with FE. We used Python on our Backend and React on our Frontend Strong AWS experience. Platform engineering experience with a proven track record of building internal platforms used by multiple teams. Strong alignment with commercial success. Previous leadership experience of smaller teams. Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2 . Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety & Security . The hiring process: 30-40min call with our Technical Recruiter 45min call with an Engineering Manager about your past projects 90min Live Coding interview, a collaboration exercise with our Engineer (not Leetcode style) 60min System Design, technical discussion usually about a real problem we had in production 45min call with leadership, focus on examples of collaboration, growth and going through details of your future team You can find more details on what to expect and how to prepare HERE . The process does not need to take long - we can be done in seven working days. Other important info: This is a remote role from an EU country, UK or Switzerland. The salary starts at EUR/GBP/CHF 100.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.

false

EPD Business Operations Lead, IPS Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Building custom AI applications that will impact millions of citizens and government employees Generating high-quality training data for custom LLMs Upskilling and AI advisory services to spread the impact of AI As EPD Business Operations Lead in Doha, you will be the operational cornerstone for a key strategic region, designing, building, and running the critical systems that enable the team's hyper-growth and delivery success. You will help translate vision into execution, streamline how our technical team builds and ships products, and ensure clarity, alignment and operational excellence across a growing global team. This is a role for someone who thrives at the intersection of product, people, and process - someone who can take ownership like a founder, operate like a systems designer, and execute like a product manager. What you'll do Be the connective tissue across the Engineering, Product and Design teams - driving alignment, clarity, and prioritization across all initiatives and projects Own knowledge management and internal tooling, ensuring the team operates efficiently at scale. Deep expertise in Notion is critical - you’ll design, manage, and evolve the team’s central knowledge base, project trackers, decision logs etc Build and maintain systems for project tracking, staffing and performance reporting Partner with Finance and Legal to streamline procurement, budgeting, and contract processes to positively impact delivery timelines. You’ll also support the team on revenue recognition tracking and spend monitoring for projects.  Design and operationalize new processes that make product development and data delivery faster, higher quality and more predictable Serve as a force multiplier for technical leadership - helping anticipate needs, prepare materials and communicate priorities internally and externally Lead internal enablement and upskilling initiatives, ensuring the team continuously improves its product development muscle. Ideally, you'd have 5+ years of experience in product, strategy or business operations roles, preferably within a high-growth technology company or top-tier consulting/finance firm. Proven ability to design and scale systems that help technical teams operate with clarity and velocity. Exceptional analytical skills with a penchant for digging deep into the data, thinking from first principles, and iterating quickly to deliver results. Strong familiarity with Notion, plus adjacent productivity tools (e.g., Asana, Airtable, Coda, Slack integrations). Experience working in or with the Middle East, with an understanding of the regional business and regulatory environment, is a plus. Fluency in English is required; proficiency in Arabic is a strong advantage. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

true

TL;DR - We’re looking for a Founding GTM (Account Executive) to drive Lovable’s next chapter of growth by bringing our AI-powered software creation platform to startups and enterprises across the world. You’ll own the full sales cycle - from outreach to close - turning curiosity into conviction and conviction into contracts. If you thrive on momentum, storytelling, and multi-threaded deals, this is your arena.Why Lovable?Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started.We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.What we’re looking forProven success closing mid-market or enterprise SaaS dealsTrack record of full-cycle selling - prospecting, discovery, demos, negotiation, and closeStrong communicator who can translate technical and product concepts into clear business valueExperience navigating multi-stakeholder deals across product, engineering, and leadershipBuilder mindset - you’re excited to shape GTM motion and systems in a fast-scaling orgCuriosity and hunger to master Lovable’s product deeply; you lead with insightComfort with ambiguous, high-growth environments where speed and precision matterBonus: Experience selling AI or developer tools, or working in product-led growth motionsWhat you’ll doOwn and run end-to-end sales cycles with precision - from first touch to signed contractCraft strategic account plans that identify whitespace, map stakeholders, and unlock expansionLead compelling demos and discovery sessions, tailoring value to technical and business buyersCollaborate cross-functionally with Product, Marketing, and Customer Success to deliver seamless onboarding and retentionBuild ROI-driven business cases that connect Lovable’s capabilities to real outcomesMaintain pipeline accuracy and forecasting discipline across all active dealsUse insights from customer conversations to influence product roadmap and GTM strategyChampion a repeatable, data-driven GTM motion as we scale from startups to enterpriseHow we hireFill in a short form then jump on an initial exploratory call.Discuss your experience in more depth during a round of interviews with us.Join us for a workshop lasting 1-2 days remote or onsite. We'll see how you tick and you get to meet the team and explore whether joining Lovable feels right for you.About your applicationPlease submit your application in English. It’s our company language so you’ll be speaking lots of it if you join.We treat all candidates equally - if you’re interested please apply through our careers portal.

false

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking a highly skilled, experienced and hands-on Anti Fraud & Abuse Engineer to join our dynamic security team, revolutionizing the way people search and interact with the internet. You will be responsible for designing, implementing, and operating cutting-edge monitoring and detection systems to identify and prevent fraudulent behaviors and abuse of our products and services. Responsibilities Design, build, and operate monitoring and detection systems to identify and prevent fraudulent behaviors and abuse Perform adversary hunting to detect abuse and misuse of our products and services Analyze how our products and services are being misused or abused Track and mitigate cost impacts of fraud and abuse across our technology stack Research and anticipate emerging abuse techniques to stay ahead of evolving threats Build and maintain relationships with external threat intelligence partners and industry communities Establish best practices, tools, and processes for our fraud and abuse detection program Qualifications Experience designing, implementing, and operating fraud detection, abuse prevention, or security monitoring systems Background in security, adversarial machine learning, threat intelligence, or fraud investigations Strong data analysis skills, able to identify patterns and anomalies within large datasets Understanding of both technical and behavioral signals to support effective fraud prevention strategies Excellent communication skills, able to present to both technical and non-technical audiences  

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 Inference team develops and enhances the inference stack for serving H-models that power our agent technology. The team focuses on optimizing hardware utilization to reach high throughput, low latency and cost efficiency in order to deliver a seamless user experience. Key Responsibilities:Develop scalable, low-latency and cost effective inference pipelinesOptimize model performance: memory usage, throughput, and latency, using advanced techniques like distributed computing, model compression, quantization and caching mechanismsDevelop specialized GPU kernels for performance-critical tasks like attention mechanisms, matrix multiplications, etc.Collaborate with H research teams on model architectures to enhance efficiency during inferenceReview state-of-the-art papers to improve memory usage, throughput and latency (Flash attention, Paged Attention, Continuous batching, etc.)Prioritize and implement state-of-the-art inference techniquesRequirements:Technical skills:MS or PhD in Computer Science, Machine Learning or related fieldsProficient in at least one of the following programming languages: Python, Rust or C/C++Experience in GPU programming such as CUDA, Open AI Triton, Metal, etc.Experience in model compression and quantization techniquesSoft skillsCollaborative mindset, thriving in dynamic, multidisciplinary teamsStrong communication and presentation skillsEager to explore new challenges Bonuses:Experience with LLM serving frameworks such as vLLM, TensorRT-LLM, SGLang, llama.cpp, etc.Experience with CUDA kernel programming and NCCLExperience in deep learning inference framework (Pytorch/execuTorch, ONNX Runtime, GGML, etc.)Location: Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.The final decision for this will lie with the hiring manager for each individual roleWhat 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 startupsCollaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environmentEnjoy a competitive salaryUnlock opportunities for professional growth, continuous learning, and career developmentIf you want to change the status quo in AI, join us.

false

About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamAt Decagon, we’re building AI agents that power real customer interactions for some of the world’s most ambitious companies. Our customers aren’t just reading docs — they’re building mission-critical systems with us. That means every word, every guide, and every example directly impacts adoption and trust.You’ll be joining a small, high-ownership team that moves fast, ships often, and cares deeply about clarity and craft. We work mostly in person and we treat documentation as a core product surface — not an afterthought.About the RoleAs a Technical Program Manager, you will lead the coordination and support the delivery of multiple AI agent development projects simultaneously for our largest customers, breaking down ambiguous goals into phased roadmaps with clear milestones to ensure on-time, high-quality outcomes.In this role, you willCoordinate cross-functional teams: Work across technical and non-technical stakeholders – Agent Product Management, Go-to-market, and engineering product – through the full agent development lifecycle, aligning requirements and timelines and proactively managing dependencies and risks .Plan and track project delivery: Co-own project planning activities, including scoping requirements, prioritizing agent build roadmaps, aligning on milestones/outcomes, and identifying & clearing blockers to keep each implementation on track .Ensure transparency and alignment: Facilitate clear communication across all stakeholders, providing regular status updates and surfacing issues early so there are no surprises. You’ll also occasionally interface with customer teams to align on schedules or deliverables.Continually improve processes: Apply data-driven insights and lessons learned from each deployment to refine our playbooks and processes, ensuring we scale our customer implementations efficiently with high standards of quality.Your background looks something like this5+ years of experience as a program or project manager, ideally in the software-as-a-service (SaaS) industryStrong understanding of enterprise software delivery and experience driving successful customer implementations.Excellent project management skills — able to manage multiple complex builds simultaneously, prioritize effectively, and deliver on schedule.Exceptional communication and interpersonal skills, with the ability to build trust and coordinate across engineering, product, and customer teams.Analytical and structured thinker with the ability to identify and mitigate risks, resolve issues quickly, and make data-informed decisions.Technical acumen in the form of understanding technical concepts like APIs, integrations, or data flows, and can translate between technical and business audiences.Thrives in a fast-paced, dynamic environment, balancing multiple implementations while maintaining a high standard of quality and accountability.Even betterHands-on AI/LLM experience: Exposure to conversational AI or large language models – for example, you’ve built side projects or shipped features with LLMs.Customer-facing implementation expertise: Prior experience in a high-ownership, customer-facing role such as solutions architect or implementations lead, where you drove a project from pre-sales through post-launch.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$150K - $230K + Offers Equity

false

Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.About the RoleLambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.As Manager of the Security Platform team, you'll build and lead a team of deeply security-aware software engineers who create the foundational tools and automation that enable Lambda to maintain security at scale without sacrificing velocity.Reporting to the Senior Manager of Security, you'll lead 3-4 engineers building platforms that serve three critical constituencies: Detection & Response needs operational tooling, Security Architecture needs automated enforcement of standards, and engineering teams need self-service capabilities that eliminate bottlenecks.You'll have direct access to deploy and run state-of-the-art LLMs on Lambda's infrastructure—a unique advantage enabling you to build intelligent security platforms that learn, adapt, and protect at a scale only possible when you own the AI infrastructure.Your success is measured in the problems other teams avoid because your platforms provide high-quality foundations.Your immediate focus will be on building your team, maturing our existing toolset, collecting requirements, and building a 6-12 month roadmap that aligns with the 2026 security strategic plan.We're looking for engineering managers who pair deep technical intuition with product sensibility and team-building excellence. If you're energized by multiplying security impact through excellent tooling, treating internal teams as customers, and building platforms where the secure path is the easy path, we'd love to talk.We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time.What You'll DoTeam Leadership & DevelopmentHire, develop, and retain a high-performing team of 3-4 deeply security-aware software engineers dedicated to building and operating production-grade security platforms.Foster a culture of technical excellence, collaboration, and continuous learning where engineers thrive through clear expectations, regular feedback, and opportunities for growth.Enable technical excellence through architectural and technical oversight, reviewing designs, assessing risk, and ensuring solutions are robust, maintainable, and scalable.Coach engineers in product thinking and platform ownership, helping them evolve from delivering features to managing services with measurable impact.Establish your team as the go-to platform builders, delivering solutions that meet any business need.Security Platform Product ManagementOwn the Security Platform roadmap, aligning it with Lambda's overall security and business objectives.Balance immediate security team needs against a strategic platform vision that yields compounding value.Proactively gather and meet customer needs that result in tools and platforms that are adopted voluntarily because they make secure development faster and easier.Operate as both technical and product leader, translating complex requirements into deliverable, incremental milestones that provide real impact early and often.Platform & Technical LeadershipEstablish Lambda's security data foundations: log pipelines, telemetry frameworks, and data services that empower decision-making across security functions.Build self-service security capabilities for engineering teams—authentication frameworks, secrets management systems, policy enforcement tooling, and security APIs that make the secure path the easy path.Direct the development of compliance automation that streamlines evidence collection, attestation, and reporting.Partner with the peer security teams to deliver operational tooling, incident response automation, and analysis systems that scale without toil.Ensure your team's platforms are reliable, monitored, and continuously improved based on real-world adoption and performance.Organizational & Strategic ContributionsPartner across the Security organization to deliver cohesive platform capabilities that enhance threat detection, prevention, and operational efficiency.Collaborate with engineering leadership to embed security into Lambda's development lifecycle, eliminating bottlenecks through self-service design and automation.Work effectively in a fast-moving startup environment where priorities shift, resources are constrained, and perfect solutions aren't possible. Make pragmatic trade-offs that deliver business value while building for the future.Communicate impact clearly to stakeholders who may not immediately see the connection between infrastructure work and business outcomes.Define measurable success criteria and maintain a 6–12 month roadmap that advances Lambda's security posture.What We Think a Candidate Needs to Demonstrate to Succeed5+ years of experience leading software engineering teams OR 5+ years of software engineering experience with 3+ years in engineering management.Proven ability to build, lead, and scale technical teams that deliver complex, high-impact platforms.Strong architectural intuition and product management sensibility; you can set vision, make tradeoffs, and deliver tools engineers love to use.Experience building security platforms, including understanding what makes them succeed or fail.Understanding of securing complex infrastructure environments, ideally including bare metal and cloud platforms, both as a consumer and a provider.Experience building automation-first systems that improve both velocity and security outcomes.Skilled communicator who can translate technical risk into business impact and build alignment across diverse stakeholders.Ability to thrive in a high-speed, high-ambiguity environment where you balance building for today while preparing for tomorrow's needs.Nice to HaveExperience building security platforms like SIEM/SOAR systems, security orchestration tools, compliance automation, or security data infrastructure.Deep familiarity with security platforms (e.g. Splunk/Elastic/Chronicle), secure-by-default infrastructure-as-code libraries (e.g. Terraform/CloudFormation), CI/CD systems, or secrets management (e.g. Vault, AWS Secrets Manager).Experience building data pipelines, analytics platforms, or data lakes for security use cases.Deep familiarity with SOC 2, ISO 27001, or similar compliance frameworks.Background in platform engineering, SRE, or building internal developer platforms.Experience enabling deep adoption of zero-trust architecture principles or building identity-centric security platforms.Excitement about leveraging Lambda's access to state-of-the-art LLMs for AI-powered security automation, orchestration, and analytics.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

false

Your New Role and Team Sanctuary, a world leader in developing AI-based control systems for humanoid robots, is hiring a Commercial Operations Analyst to support our growing commercial and account management functions. This role is foundational to how we qualify customer opportunities, analyze business cases, and connect customer use cases to our product roadmap. You’ll work closely with our Director of Account Management and collaborate across product, engineering, and deployment teams to manage the early stages of customer engagement—from the first inquiry to detailed use case documentation. This is an exciting opportunity for someone who thrives on analysis, communication, and collaboration, and who wants to grow at the intersection of technology, business strategy, and customer success within a robotics-driven organization. Success CriteriaQualify and filter inbound commercial inquiries with clarity and professionalism.Prepare concise customer profiles and maintain a centralized commercial database (Single Source of Truth).Conduct and document introductory customer calls, summarizing objectives and potential use cases.Support use case discovery and documentation in alignment with product and deployment teams.Perform high-level business case, market, and growth analyses to support opportunity assessment.Coordinate internal alignment across commercial, product, and engineering stakeholders.Assist with preparation of presentation materials and reports for both internal and external audiences.Demonstrate consistent organization, attention to detail, and follow-through on assigned commercial activities. Your Experience and QualificationsDegree in Business, Engineering, or a related technical field (MBA or business specialization an asset).1–3 years of experience in business analysis, commercial operations, or consulting.Understanding of basic business development or account management workflows.Comfortable handling data, documentation, and structured reporting.Familiarity with CRM or ERP systems (NetSuite, HubSpot, or similar).Strong written and verbal communication skills.Curiosity about advanced technology, AI, and robotics is essential. SkillsHighly organized, methodical, and self-driven.Analytical thinker with strong problem-solving and documentation skills.Effective communicator across technical and non-technical audiences.Adaptable and comfortable with ambiguity in fast-changing environments.Proactive and accountable, with a collaborative team-first mindset.Curious about how technology creates value for real-world customers.

true

About ArtisanAt Artisan, we’re building real AI employees - not copilots, not assistants, but autonomous teammates.Our first, Ava, is an AI BDR. She finds and researches leads, writes emails in customers’ tone of voice, runs outbound sequences, self-optimizes, and manages email deliverability infrastructure. She learns, adapts, and improves over time - just like a human would.Human team members use Artisan as their primary working platform, replacing a sprawling stack of sales tools, and have Artisans working alongside them.We went through Y Combinator (W24) and have raised $35M+ from top investors. We’re at $7M+ ARR, with hundreds of customers including Remote, Quora, and SumUp. We’re currently working on Ava 2.0, pushing the boundaries of what an AI employee can do. And we're hiring.Your MissionYou’ll design, build, and scale the backend that powers AI employees while following our principles:Velocity is Everything: keep the 20/80 rule in mind, delay kills growthThink Like a Founder: ship with quality, have strong opinions, and speak up if you disagreeOperate With Efficiency: put the customer first, write it down, and use AI wherever possibleCommunication Rules Everything: be clear and concise, give candid, unsolicited feedbackMeetings, But Make Them Useful: don’t attend meetings where you don’t add or extract value; Presence ≠ productivityVibes Matter: have a positive attitude, make others feel appreciated, we’re here to winWhat You Bring3+ years of backend engineering experience in high-growth environments, preferably early-stage or Series B.Strong experience building scalable, data-intensive services with modern APIs and robust infrastructure.Proficiency with AWS and GitHub Actions.Deep understanding of distributed systems, APIs, reliability, performance, and database systems (SQL + NoSQL).Experience with modern stacks - TypeScript/Node preferred, but equivalent backend stacks are welcome.Demonstrated track record of ownership - leading parts of systems independently and shipping with impact.Excellent communication, clarity in articulating architecture to technical and non-technical stakeholders.What Makes This Role Stand OutStay relevant: At Artisan we are creating AI employees and you'll learn how to not be replaced by one.Ownership and autonomy: You'll be given trust, and expected excellence.Compensation: Real equity upside and compensation aligned with high expectations and high impact.Culture: Have a chat with our teammates, each and everyone has a clear reason about why they love it.DetailsRole: EngineeringEng type: BackendJob type: Full-timeExperience: 3+ yearsLocation: BrazilRemote: Remote

false

About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role The xAI datacenter control systems team is looking for a highly-motivated Controls Engineer to support the operation, design, and optimization of our advanced data center infrastructure. This person will play a key role in maintaining the stability and efficiency of the systems that power xAI's groundbreaking AI research. The Controls Engineer will collaborate with cross-functional teams to monitor and improve the performance of the data center throughout its lifecycle. This individual will work closely with Operations and Maintenance to ensure the systems are running smoothly, from day-to-day management to long-term upgrades and expansions. Responsibilities Executing the implementation and modification of Building Management System (BMS), Electrical Power Management System (EPMS), and any other SCADA systems critical for the operation of current and future data centers Overseeing the operation of critical systems such as chillers, pumps, and power distribution, using PLCs and other industrial control technologies Preparing specifications for Human-machine Interface (HMI) including graphics standard for interpretation by Grok Implementing and maintaining automated controls for fire safety and emergency shutdown procedures (ESOP) Developing a corporate-level reporting dashboard to monitor the operational trends such as power usage effectiveness (PUE) and performance/cost, and dynamically adjust the infrastructure set points for optimal performance Coordinating with utility providers to automate demand and operational responses to upstream grid events Required Qualifications Bachelor's Degree in an Engineering discipline: Controls and Computer Control Systems, Computer Science, Mechatronic Engineering, Automation Engineering, etc., or equivalent experience 5+ years of experience as a hands-on Controls Engineer working with industrial control systems Ignition SCADA Programming Experience Siemens TIA Portal PLC Programming Experience Physical Requirements: Ability to work for extended periods of time standing, when needed Work is often performed in tight quarters and physical dexterity is necessary to perform job functions Comfortable working in an environment requiring exposure to noise Ability to lift or carry 10-15lbs Ability to work evenings and weekends as needed Position is subject to pre-employment drug and random drug and alcohol testing Preferred Qualifications Advanced proficiency in programming industrial equipment in all IEC 61131-3 languages with a focus on structured text and ladder logic Experience with industrial control hardware from leading manufacturers (e.g. Siemens, SEL, Rockwell) Familiarity with Human Machine Interface (HMI / GUI) development using platforms such as Ignition, SEL, etc Methodical troubleshooting approach Strong documentation and communication skill set Technical project management mindset Team-player, takes initiative, and highly motivated xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

false

Backend Engineer - Third Party Model This role is ideal for engineers who want to be on the forefront of the GenAI media revolution. Utilize your deep experience with backend APIs, robust http client and server design to build high-performance, reliable proxies to our partner model providers. Responsibilities Identify, design, and develop foundational HTTP proxies and fal serverless endpoints for 3rd party model providers Write clear, well-tested, and maintainable software Analyze and improve the robustness and scalability of our existing proxies, APIs and fallback infrastructure Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance Requirements 3+ years of demonstrated experience in building HTTP services with Python Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources Proficiency in version control practices and CI/CD pipelines. What we offer at fal Interesting and challenging work Competitive salary and equity Employee-friendly equity terms (early exercise, extended exercise) A lot of learning and growth opportunities We offer visa sponsorship and will help you relocate to San Francisco. Health, dental, and vision insurance (US) Regular team events and offsite Compensation $180,000 - $250,000 + equity + comprehensive benefits package Location We are currently hiring in downtown San Francisco.  

false

Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** Software Engineering ManagerEngineering at Mirage isn’t narrowly defined. As a small, collaborative team, engineers are trusted with a high degree of ownership and agency. As an Engineering Manager, you’ll lead and grow a world-class team of software engineers while providing clear direction and stability. You’ll be responsible for driving technical excellence, fostering growth and collaboration, and building foundational capabilities across product, infrastructure, and core platforms. ResponsibilitiesOversee the design and operation of our core platform (3rd party providers, storage, billing, observability, security, API).Provide technical leadership for various product and platform featuresImprove developer experience so the whole team ships fasterGuide efforts that bridge AI research to production across all modalities (video, audio, image, text)Understand the capabilities and limitations of SOTA AI models and how to best leverage them in productsPartner with product, design, and research to keep our development tightly aligned with user needs and business objectivesWhat Makes You a Great FitA track record of building, mentoring, and managing high-performing engineering teamsExperience shipping high-impact systems, platforms, and products in productionExcellent judgment: you balance technical discernment with a strong sense of practicality and time managementAble to operate effectively in an extremely fast-paced environment, while setting your team up for sustainable successStrong communicator who can inspire and align a multidisciplinary teamEven Better If...You have worked extensively with LLMs, generative media models, and have a pulse on where the technology is goingYou are grounded, collaborative, and willing to do whatever it takes to help the team winYou have been a startup founder or an early engineer at oneBenefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

false

Appierについて Appier（エイピア）は、人工知能（AI）を活用して企業の意思決定を支援するソフトウェア・アズ・ア・サービス（SaaS）企業です。2012年に「AIの民主化」というビジョンのもとに設立され、「AIをROIに変える（Turn AI into ROI）」をミッションとして掲げています。現在はアジア太平洋地域、ヨーロッパ、アメリカを含む17の拠点を展開し、東京証券取引所（証券コード：4180）に上場しています。詳しくは www.appier.com をご覧ください。 提供ソリューション AIQUA（アイコア） AIを活用したマルチチャネル・マーケティングオートメーションプラットフォーム。Web、アプリ、メール、プッシュ通知など複数チャネルで、顧客ごとに最適化されたジャーニーを自動的に実現します。 BotBonnie（ボットボニー） SNS公式アカウント（LINE、Instagram、Facebookなど）やWebチャットに対応した、AI会話型マルチチャネルマーケティングオートメーションソリューション。顧客エンゲージメントとコンバージョンを高めます。 AIRIS（アイリス） AIを搭載したカスタマーデータプラットフォーム（CDP）。顧客データを統合し、より精度の高いセグメンテーションや予測分析を可能にします。 AdCreative.ai（アドクリエイティブ・エーアイ） AIによるクリエイティブ生成プラットフォーム。オーディエンスやチャネルごとに最適化された高パフォーマンス広告クリエイティブを自動生成します。 ポジション概要 AppierのSenior Enterprise Solutions Salesとして、日本市場におけるエンタープライズ企業向けに、AIQUA、BotBonnie、AIRIS、AdCreative.aiといったAppierのSaaSソリューション全体の販売をリードし、売上拡大を推進していただきます。 経営層や意思決定者の信頼できるパートナーとして、AIを活用したマーケティング・データ・顧客体験の変革を支援していただきます。 主な業務内容 新規開拓から提案、交渉、契約締結まで、SaaSソリューション営業の全プロセスを担当 Cレベルを含む経営層への提案を通じ、AppierのAIソリューションが抱えるビジネス課題をどう解決できるかを訴求 大手企業の戦略的アカウントを拡大し、長期的な関係構築と導入拡大を推進 正確なパイプライン管理と売上目標の達成 Pre-Sales、CSM、マーケティング、プロダクトなどの社内チームと連携し、シームレスな導入・運用支援を実現 既存顧客のアップセル・クロスセル機会を発掘し、持続的なアカウント成長を促進 AI・データ戦略・デジタルトランスフォーメーションに関する知見を発信し、Appierのリーダーシップを確立 応募条件 ソフトウェアソリューション営業の経験10年以上、うち5年以上はエンタープライズ向けSaaSまたはAI／MarTech領域での営業経験 複数のステークホルダーを巻き込む大規模案件のクロージング実績 強いオーナーシップと自己駆動力を持つセルフスターター AI・データプラットフォーム・マーケティングオートメーションなどの新技術への高い関心と学習意欲 変化を楽しみ、挑戦を続けるグロースマインドセット（成長志向） チーム内外での円滑なコミュニケーション・協働スキル AIで市場を変革し、顧客に価値を届ける情熱をお持ちの方 日本語：ネイティブまたはビジネスレベル（必須） 英語：ビジネスレベル（尚可／必須ではない） Appierで働く魅力 マーケティング領域におけるAI・データ革新の最前線で活躍できる 学習と挑戦を後押しするフラットで協働的なカルチャー 日本企業のAIトランスフォーメーションをリードする実感を得られる 勤務地: 東京都 所属部署: Enterprise Solutions（AIQUA / AIRIS / AdCreative.ai / BotBonnie） 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. Our Solutions AIQUA – An AI-driven multi-channel marketing automation platform that helps enterprises deliver personalized customer journeys across web, app, email, push channels and so on. BotBonnie – An AI conversational multi-channel marketing automation solution designed for SNS official accounts (LINE, Instagram, Facebook, etc..) and web chat to drive engagement and conversions. AIRIS – An AI-driven Customer Data Platform (CDP) that unifies customer data and enables advanced segmentation and predictive analytics for smarter decision-making. AdCreative.ai – An AI creative generation platform that automates the creation of high-performing ad creatives optimized for each audience and channel. Role Overview As an Senior Enterprise Solutions Sales at Appier, you will be responsible for driving revenue growth by leading the full sales cycle of Appier’s SaaS platforms—AIQUA, BotBonnie, AIRIS and AdCreative.ai across Japan’s enterprise market. You will act as a trusted advisor to senior executives, helping them leverage AI to transform their marketing, data, and customer experience strategies. Key Responsibilities Own the full sales cycle from prospecting, qualification, and needs discovery to proposal, negotiation, and contract closure. Advise and present to C-level executives, identifying and articulating how Appier’s AI-driven solutions address complex business and marketing challenges. Develop and expand strategic enterprise accounts, ensuring long-term success and maximizing product adoption across multiple business units. Maintain a robust and accurate pipeline, delivering consistent performance against revenue targets. Collaborate cross-functionally with Pre-Sales, CSM, Marketing, and Product teams to deliver seamless client experiences and ensure successful solution implementation. Identify upsell and cross-sell opportunities within existing clients to drive sustainable account growth. Represent Appier as a thought leader, contributing insights on AI, data strategy, and digital transformation to senior stakeholders. Requirements 10+ years of software solution sales experience, with at least 5 years in enterprise-level SaaS or AI/MarTech platforms. Proven track record of success in closing complex, multi-stakeholder enterprise deals. Self-starter mindset with strong ownership, accountability, and drive to achieve ambitious goals. Fast learner with deep curiosity and willingness to understand new technologies, especially AI, data platforms, and marketing automation. Growth mindset — eager to experiment, learn, and adapt in a fast-changing environment. Strong collaboration and communication skills, capable of aligning across teams and functions. Passionate about changing the market with AI and delivering measurable value to clients. Japanese: Native or Business level (Must to have.) English: Business proficiency (Good to have, not a must) Location: Tokyo, Japan Department: Enterprise Solutions (AIQUA / AIRIS / AdCreative.ai / BotBonnie)

true

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!As a Software Engineer on the Collect team, you will:Contribute to building critical internal tools and applications relied upon by hundreds of Cohere employeesWork with a small talented and enthusiastic team of software engineers.Contribute to delightful experiences for our user-facing products, meticulously crafting code for browsers and occasionally server code.Collaborate and grow with your engineering colleagues of all levels through direct pairing sessions, architectural designs, documentation and talks.Identify and remove roadblocks to enable your team to increase its engineering velocity.Build resilient systems that are mission-critical.Keep up with the cutting edge and adopt new technologies to improve performance and reliability.You may be a good fit if:You’ve shipped fast and snappy web apps loved by many users.You have experience shipping products with a large number of stakeholders.You’re comfortable with the front and back end of the stack, and have previously worked with Next.js, TypeScript, React, and Python.You’ve mentored other engineers and are passionate about developing other junior folks.You have excellent communication skills and believe that documentation is a great way to get feedback and discuss technical implementations and designs.You’re excited to add new technologies to your toolbox and use them where it makes sense.You have the ability to take complex needs and goals and develop easy to understand explanations for all audiences.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

false

Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. What You’ll DoStrategic Technology Leadership for Key AccountsServe as the primary technical liaison for Lambda's strategic Superintelligence accountsCultivate and sustain executive level technical relationships, establishing Lambda as a trusted technology partner and strategic advisorDrive multi-year technology roadmaps aligned with customer business objectives and Lambda's product portfolioInfluence customer technology strategy and adoption at the executive levelRepresent Lambda at executive briefings, board meetings, and strategic planning sessionsOwn Technical Strategy and Business OutcomesPartner with Global Account teams to drive strategic account growth and expansionLead architectural reviews and technology assessments at the enterprise levelDefine and articulate business value propositions, ROI models, and TCO analyses for executive stakeholdersOrchestrate cross-functional teams including Solutions Engineers, Forward Deployed Engineers, Professional Services, and Product ManagementOwn technical escalations and serve as the Executive Technical Sponsor for critical customer initiativesDrive adoption of Lambda's strategic initiatives within key accountsTechnology Vision and Thought LeadershipEstablish yourself as a trusted advisor on AI/ML transformation and cloud strategyGuide customers through digital transformation journeys and emerging technology adoptionPublish thought leadership content, speak at industry events, and represent Lambda in executive forumsInfluence Lambda's product strategy based on strategic customer needs and market trendsMentor and develop technical talent across the organizationYouHave 15+ years of experience designing, deploying and scaling cloud infrastructureHave 6+ years of experience working directly with C-suite executives and senior leadership teams in advisory or consultative capacitiesHave 5+ years driving cloud transformation initiatives at enterprise scaleHave proven track record of influencing C-suite executives and board-level stakeholdersHave deep expertise in AI/ML technologies and their business applicationsHave experience with NVIDIA DGX/HGX/MGX systems, InfiniBand &RoCE networking, and large-scale GPU cluster deploymentsHave hands-on experience with LLM training, fine-tuning, and inference at scaleHave experience with enterprise architecture frameworks and governance modelsHave experience managing or influencing deals worth $1B+ annuallyHave strong business acumen with ability to translate technology into business outcomesHave experience navigating complex organizational dynamics and driving consensusHave track record of building strategic partnerships and alliancesExcel at executive communication, presentation, and storytellingDemonstrate thought leadership through publications, speaking engagements, or industry recognitionNice to HaveMBA or advanced degree in Computer Science, Engineering, or related technical fieldExperience as a CTO, VP of Engineering, Chief Architect, or Technical Fellow at a technology company with $100M+ revenueTrack record working with AI labs, research institutions, or frontier model companiesBoard advisory experience for technology companiesPublished peer-reviewed research, whitepapers, or patents specifically in distributed computing, GPU acceleration, or large-scale ML training infrastructureSalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.