Вакансии

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Paphos, Cyprus; Remote, Germany; Warsaw, Poland Founding Tech Lead (GrowthBricks) Are you a hands-on engineer who loves zero-to-one challenges? Do you want to build systems with real context and memory that do more than reason, use tools, and drive actual business outcomes? About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. GrowthBricks is a new project at JetMinds, backed by JetBrains, designed to give GTM teams and AI agents a shared business brain. Business context usually gets fragmented across CRMs, documents, dashboards, and people's heads. GrowthBricks brings that context together so agents and people can make decisions and execute effectively across the sales, marketing, and product stack. About GrowthBricks GrowthBricks is a shared business brain for GTM teams and AI agents. It brings together the context that usually lives across CRM, docs, dashboards, tools, and people’s heads: who we sell to, why customers buy, what matters now, what we tried, and what worked. Agents and people use that context to decide what to do next and execute across the GTM stack. GrowthBricks is a new project at JetMinds, backed by JetBrains. About the role We’re looking for a hands-on Founding Tech Lead to build GrowthBricks from zero. You’ll work directly with the product founder and own the technical side of the product: architecture, core systems, integrations, and the agent layer. The core challenge is turning fragmented, changing business context into reliable memory and agent actions across tools and measuring whether those actions actually drive business outcomes. You’ll write a lot of the early code yourself, make the key technical decisions, and shape the product as we learn what works. What you’ll work on Design the core architecture: business context, agents, tools, integrations, and feedback loops. Build agentic workflows that can reason over company context and act across CRM, sales, marketing, and product systems. Build context extractors from GTM team artifacts like sales calls, emails, internal documents, CRM state, marketing campaigns, etc. Work on prompting, context management, memory, tool use, and orchestration. Connect GrowthBricks to the existing GTM stack rather than rebuilding everything around it. Decide where to use MCP, APIs, frameworks, or third-party tools and where a custom solution is worth it. Prototype fast, discard weak ideas, and turn the useful ones into product primitives. We expect that you Are a strong hands-on engineer who enjoys zero-to-one work. Have built with LLMs, agents, or agentic workflows used by real people, and improved them based on failures, evaluations, and user feedback. Understand how context, prompting, tools, and agent behavior fit together. Can design backend systems, APIs, data models, and integrations. Are comfortable making decisions before all the answers are known. Prefer simple, pragmatic solutions over unnecessary complexity. We’re especially interested if you Have worked in solution engineering, sales engineering, pre-sales, or built software for GTM teams. Understand the modern GTM stack: CRM, enrichment, outbound, automation, and product signals. Have automated sales or marketing workflows, ideally with agents or LLMs. Have owned a technical product from a blank repo to something people actually used. GTM experience is not mandatory, but if you already understand how sales and marketing teams work, that is a strong advantage. What we offer A competitive salary and strong benefits package. The runway and resources of an established company, with startup-level autonomy. A founding role with direct influence over both product and architecture. Real users and real workflows from day one. Freedom to choose the stack, tools, and technical approach. A chance to help define what an agent-native GTM product should look like. #LI-IM We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Senior Software Development Engineer in Test with extensive industry experience to define and execute the design, development, and maintenance of Fivetran’s test automation tools and framework using reliable and scalable techniques. As a Senior SDET, you will focus on solving complex testing difficulties by designing, developing and improving automation and reporting frameworks. You will invest in improving test stability and performance of the framework by developing innovative solutions to boost Fivetran’s testing efficiency. You will also coach Fivetran quality engineers to be the best in class automation engineers, and will continuously work with the team to ensure high standards for automation. The ideal candidate will be highly technical, detail-oriented, creative, motivated, and focused on achieving results. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Java11, JUnit5, Docker and Kubernetes AWS, GCP Terraform, WireMock, RestAssured Bazel, BuildKite What You’ll Do Review requirements, specifications and technical design documents to provide meaningful, risk-focused feedback. Design and evolve scalable automation frameworks in Java with a strong emphasis on reliability, performance, and data correctness. Write high-signal test strategies for complex features and automate them across multiple environments. Improve CI/CD pipelines by building robust validation layers that prevent silent failures and regressions. Build internal tools and proof-of-concepts using AI/LLM technologies to: Accelerate debugging and failure triaging Generate high-quality test scenarios Detect flaky patterns or regression risks Improve log analysis and root-cause identification Enhance developer and QA productivity Design AI-assisted workflows that integrate seamlessly into the existing automation and release pipelines. Experiment with and implement agent-based systems or LLM-powered tooling that streamline development and testing processes. Actively measure and improve engineering impact through reliability metrics, automation efficiency, and defect prevention signals. Collaborate with engineering teams to drive a culture of quality ownership and automation-first thinking. Skills We’re Looking For 5+ years of experience in the software industry with strong passion for quality, automation, and engineering excellence. Deep understanding of OOP principles and strong proficiency in Java. Expertise in designing scalable automation frameworks and identifying negative, edge, and high-risk scenarios. Strong understanding of distributed systems risks such as schema drift, idempotency failures, data inconsistencies, and race conditions. Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes). Experience building and maintaining CI/CD pipelines with tools such as Jenkins, CircleCI, Buildkite. Experience working with backend automation frameworks. Knowledge of database testing and ETL/data pipeline validation is a strong plus. AI & Productivity Engineering Demonstrated ability to leverage AI/LLM tools to significantly accelerate development, debugging, test design or automation activities. Experience building AI-assisted tools, workflows, or agents that integrate into engineering pipelines. Ability to design prompt strategies, validate LLM outputs rigorously and implement safeguards to prevent hallucinations or unsafe automation. Experience streamlining workflows using AI to improve measurable engineering productivity. Comfortable feeding, tuning and orchestrating AI agents to solve real engineering problems. Strong outcome orientation, measures success through impact, reliability gains and velocity improvements rather than output volume. #LI-HYBRID #LI-VM1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

About the company / Who we are unfair.so helps AI startups launch and distribute on X (and soon LinkedIn, Substack, and other platforms). Stanley, beehiiv, FullStory, Stan, Smartlead and others have launched with us. Under the hood, we’re building a platform with 1,000+ creators where brands can pick people based on who actually follows them, run the whole campaign, and turn engagement into leads. What we’ll do — Own launches end to end. — Onboarding call, launch angle, creator selection, creator briefs, coordination, activating the client’s own network, launch day, retro. — Usually 2–3 launches a week. — Own the client. — You’re their main person at unfair. — Slack, calls, expectations, ideas, problems, good news, bad news. — Come up with the angle. — A client gives you a product and you should already be thinking about three ways to make people care about it. — Ship weird growth projects. — Get the next 1,000 creators onto unfair. — Launch a special project. — Find a distribution hack nobody asked for. — Live inside the product. — We’re building AI agents for creator scouting, research and launch prep. — You’ll be their first power user and tell us what sucks. — Make the playbook better every week. — Every launch should teach us something that makes the next one better. Who you are — Your English is genuinely fluent, including spoken English. — Most of our clients are US startups and most calls happen in English. — You’ve worked with creators before: at an agency, in-house, or as a creator yourself. — You understand what makes someone say yes to a partnership and what makes content feel forced. — You’re comfortable with numbers. — Views, CPM, CTR, conversion, CAC, budget allocation. — You should be able to look at a launch and tell whether it worked. — You have very high agency. — If something can be shipped today, your instinct isn’t to schedule a meeting about shipping it tomorrow. — You have a bit of a growth-hacker brain. — You look at a company and naturally start seeing angles, distribution loops and things to try. — You use AI every day. — Not because it’s in the job description, but because it would feel weird not to. — Big plus: you already have some distribution of your own: an X/LinkedIn audience, newsletter, creator network, freelance clients, anything. — Also a plus: you understand LinkedIn or Reddit. — Almost every client eventually asks us about one of them. Compensation We’ll discuss it on the first call. We’re flexible on structure for the right person.

Location: NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); NZ: Wellington: Xero One (19-23 Taranaki St) Workplace: Hybrid The role / impact This senior engineering post sits right at the core of Practice Tools, balancing hands-on delivery with leading the team's adoption of artificial intelligence. You will own crucial infrastructure, CI/CD pipelines, monitoring, and alerting, ensuring reliable foundational systems that wider product teams depend upon. Beyond core engineering, you will spearhead the transition toward an agentic software development lifecycle. By building on existing prototype agents, experimenting with AI-assisted workflows, and mentoring team members, you will shape how software is built while establishing a clear trajectory towards future technical leadership. The team / how they connect You will join a collaborative, close-knit group of engineers based across New Zealand who manage staff permissions, practice provisioning, and system deletion. The team operates with high autonomy, working closely together to deliver foundational capabilities that power the broader Practice Tools ecosystem. Communication is open and frequent, creating a supportive environment where diverse perspectives and fresh ideas are truly valued. Initially, you will focus on - Delivering key billing changes within the Practice Tools domain using React, JavaScript or TypeScript, and Java or .NET. - Rolling out the Xero Partner Hub across all global regions to elevate the practice experience. - Retiring legacy HQ components once the hub is live to improve system reliability and cost efficiency. - Aligning authorization models with OAuth standards while advancing AI-driven automation across the delivery pipeline. Where and how you can work This position offers flexible working options for candidates based in New Zealand. You can choose to work remotely from home or access our modern office spaces in Wellington or Auckland. Whether you prefer coming into an office daily or working entirely from home, our setup supports your preferred working style alongside occasional team connection opportunities. Here are some of the things we are looking for - Experience developing web applications using React alongside JavaScript or TypeScript. - Solid background in backend development (Preferably either Java or .NET) - Practical knowledge of modern DevOps practices, including CI/CD pipelines using tools like GitHub Actions, Jenkins, or Spinnaker, along with robust monitoring and alerting. - Direct hands-on experience building with AI and agentic systems beyond basic prompt engineering. - A proven track record of mentoring junior colleagues and patiently guiding team members through new technical methodologies. - A proactive, self-directed mindset with the drive to take ownership of complex technical challenges and grow toward senior leadership. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Joi Lab (joilab.ai) is an open research arm building open-source generative models, agent architectures, and training infrastructure. All code, weights, and data are public. The focus is on true AI agency with persistent memory, self-modification, and self-authored capabilities, not just ChatGPT wrappers. The role involves working with huge models up to 1 trillion+ parameters, ensuring fast and cheap production inference, and technologies like SGLang, caching, distributed inference, and post-training. The candidate will also set the technical direction for NLP and CV engineers. Требования к кандидату: — 5+ years of experience in ML engineering — Deep hands-on experience optimizing LLM inference — Proficiency with PyTorch and related libraries — Experience with distributed inference/training of large models — Strong understanding of inference optimization techniques — Proven technical leadership in guiding engineers — Backend engineering experience (Python, Go, C#) — Advanced English or Russian language skills

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity Grafana Labs is looking for an Enterprise Account Executive, Growth based in Spain who will be responsible for prospecting and growing existing business across the Middle East, Türkiye and Africa region . You will identify, nurture and close opportunities with existing customers. You will manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking about our products. Your expertise will be critical in helping articulate the value of our products. What You’ll Be Doing Identify new opportunities to expand Grafana usage within a set of current customers Meet and exceed individual quarterly and annual sales goals Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, negotiations and account management) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests What Makes You a Great Fit: 5+ Years of experience in infrastructure technology sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Experience selling to the Middle East region Fluent in English & Arabic Bonus Points For: Familiarity with open source technology is a significant advantage Experience using Salesforce Experience using Command of the Message and MEDD(P)ICC is ideal Compensation & Reward In Spain, the OTE compensation range for this role is EUR 170,000 - EUR 211,250 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); NZ: Wellington: Xero One (19-23 Taranaki St) Workplace: Hybrid The role & impact As an Engineering Manager, you will own the roadmap and strategy for your team end-to-end, setting direction, making prioritisation calls, and driving the delivery of high-quality software through high-performing, inclusive teams. You won't just manage the work; you will be a genuine technical voice in the room, leading system design discussions, navigating architectural trade-offs, and shaping how the team evolves its technical foundations. Your impact spans both delivery velocity and technical excellence. You will actively contribute to critical engineering decisions, from system architecture and platform design to build-vs-buy trade-offs, while championing AI-native workflows and guiding your team to hone their craft in ways that deliver meaningful business and customer outcomes. The team You will lead a coordinated platform or product-focused team where building trust through transparency and seeking diverse perspectives are core to how we work. As an equal partner with Product and Design, you will co-own the strategic direction of your domain — resolving dependencies early, influencing product thinking with technical insight, and creating a sustainable environment where engineers can do their best work. We’re currently recruiting for three teams in NZ - Payments, Small Business Experience and Inventory. The team is currently working on / Initially, you will focus on: Payments You'll be leading a high-performing 6-7 person engineering team based in Auckland that manages some of Xero's most critical products. Your team serves approximately 70% of Xero's global subscriber base, which means the systems you oversee directly impact millions of customers worldwide. This is a role for someone who thrives in a high-stakes environment and wants to modernize legacy systems while maintaining a relaxed, collaborative team culture. Inventory You'll lead a distributed 9-person engineering team across Auckland, Wellington, and remote NZ locations. Inventory is on a mission to help small and mid-sized product-based businesses keep their accounting accurate and simple. You'll own a team that's directly responsible for closing critical gaps in functionality and modernizing core systems—with tangible feedback from customers proving the impact of your work. This is a role for a technical leader with strong operational mindset and a track record of delivering and maintaining high-availability systems. Where and how you can work This role can be based in Auckland or Wellington in New Zealand, with some scope for remote NZ location for one of the engineering teams. We offer a hybrid working model that balances local team presence with a global scope of work. You will have the flexibility to work from home while connecting with your colleagues in our modern office spaces during designated boost days. Here are some of the things we are looking for - You champion AI-native practices in engineering (AI-assisted PR reviews, code generation, tooling, agentic workflows) and turn experimentation into durable practice. - You bring a proven track record of owning and delivering software roadmaps end-to-end in agile environments, including managing complex dependencies and making strategic prioritisation decisions. - You have deep experience in software architecture and system design, with the confidence to lead technical trade-off discussions and steer teams through significant modernisation efforts. - You have a passion for providing high support through coaching, mentoring, and advocating for the career progression of your engineers. - Your approach to leadership involves making fast, decentralised decisions and empowering your team to take ownership. - You possess the ability to lead through influence, building strong partnerships across Product and Design; contributing technical perspectives to shape shared strategy, not just align to it. - A bias for action is part of your DNA, allowing you to proactively redirect focus when work isn't moving the needle on business outcomes. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: San Francisco APPLICATIONS CLOSED The general application portal has closed for 2026. We will reopen applications at some point in 2027. Thank you for your interest in Perplexity careers! Welcome! This is the general application portal for university students and recent graduates who wish to be considered for full-time Member of Technical Staff positions at Perplexity. Our elite new grad cohorts enjoy unparalleled mentorship, top-of-market compensation, and the chance to tackle some of the deepest, thorniest challenges in frontier intelligence https://www.perplexity.ai/hub/blog/category/research. NOTE: if you attend one of our focus schools listed below, please do not apply via this portal as it is infrequently monitored due to high volume. Apply instead via the school-specific application portal below to ensure your application receives priority attention. FOCUS SCHOOLS (UNITED STATES) - APPLICATION PORTALS Caltech https://pplx.ai/2026Caltech | Columbia https://pplx.ai/2026Columbia | Cornell https://pplx.ai/2026Cornell | CMU https://pplx.ai/2026CMU | Duke https://pplx.ai/2026Duke | Georgia Tech https://pplx.ai/2026GATech Harvard https://pplx.ai/2026Harvard | MIT https://pplx.ai/2026MIT | Michigan https://pplx.ai/2026Michigan | Northwestern https://pplx.ai/2026Northwestern | NYU https://pplx.ai/2026NYU | Penn https://pplx.ai/2026Penn Princeton https://pplx.ai/2026Princeton | Purdue https://pplx.ai/2026Purdue | Stanford https://pplx.ai/2026Stanford | UC Berkeley https://pplx.ai/2026Berkeley | UChicago https://pplx.ai/2026UChicago UCLA https://pplx.ai/2026UCLA | UIUC https://pplx.ai/2026UIUC | UNC Chapel Hill https://pplx.ai/2026UNC | UT Austin https://pplx.ai/2026UTAustin UWashington https://pplx.ai/2026UW | Yale https://pplx.ai/2026Yale FOCUS SCHOOLS (CANADA) - APPLICATION PORTALS McGill https://pplx.ai/2026McGill | UBC https://pplx.ai/2026UBC | UToronto https://pplx.ai/2026UToronto | Waterloo https://pplx.ai/2026Waterloo EARLY CAREER TALENT @ PERPLEXITY Perplexity believes that exceptionally talented individuals at any stage can thrive in our high-velocity, high-ownership culture. Our early career talent program revolves around: - Breadth: New grads at Perplexity work across the stack, from Perplexity's agent harnesses to our AI inference and training systems. Many of our most beloved features and most important systems were shipped by individuals fresh out of school. - Depth: New grads are entrusted (and expected) to dive deep into whatever problem domains you work on. Often, your work will require you to become a world expert in some problem space that few others in the world have encountered. - Mentorship & Growth: We keep the size of our entering new grad cohorts at well below 10% of our technical team. Each individual enjoys a rich network of mentors to help them grow, and our new grads have a track record of becoming some of Perplexity's most senior and prolific team members. - Recognition: We select for the best and we recognize them accordingly. We set our early career compensation to rise well above that of top tech companies and startups. Post-hire, we aggressively recognize and reward growth in role. - Mission: Perplexity is AI for people who expect more. Our mission is to build frontier intelligence for the world's most discerning users, and each contribution you make will directly advance that mission. ACADEMIC REQUIREMENTS If you're not applying from a focus school listed above, we typically require you to possess the following qualifications: 1. GPA of ≥3.92, averaged across all CS and Math classes; and 2. Grade of A or A+ in your school's upper-level algorithms course. Additional advanced coursework in areas such as systems, AI/ML, advanced math, and other rigorous subjects is highly welcome.   NON-QUALIFYING APPLICATIONS - EVIDENCE OF EXCEPTIONAL ABILITY While you're welcome to submit your application if you don't meet these criteria, we will be looking for other evidence of exceptional ability. You are encouraged to briefly describe this evidence in response to the "Anything Else" question at the bottom of the application form. NOTE ON FELLOWSHIP OPPORTUNITIES This portal accepts applications for full-time roles at Perplexity. Internship applications are not accepted via this portal. If you're interested in short-term opportunities with our team, you may instead be interested in the Perplexity Research Fellowship. The Fellowship has a separate application process detailed here https://pplx.ai/fellowship. Note that Fellowship applications are extremely competitive; in particular, we don't expect to admit any undergraduate students to the Fellowship before their final year of study.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments: Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role: We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimaging pharma pipelines  — and building the technical infrastructure to back that up. You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside — you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community. This role will be part of the founding Beneficial Deployments applied AI team focused on bringing more of life sciences closer to the frontier and be responsible for building with our partners. Responsibilities: Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day. Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch. Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research. Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding. You Might Be a Good Fit If You Have: 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on. Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics. Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks. Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder. A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Вести продукт от бизнес-проблемы до ценности в production: исследовать процесс заказчика, формулировать jobs-to-be-done / потребности, определять scope, критерии успеха и приоритизировать — Формировать и защищать product decisions: что делаем, что не делаем, почему именно такой вариант — Глубоко понимать техническое решение, чтобы обсуждать с разработчиками и архитекторами ограничения, варианты реализации, стоимость изменений и технические компромиссы — Активно использовать AI в production-процессе (Claude Code, Codex, Cursor и другие agents) — для исследования, прототипирования, проверки гипотез и работы с продуктом — При необходимости самостоятельно исследовать существующую систему и процессы через AI-агента — Быстро собрать prototype / vertical slice — Проверить гипотезу на реальных данных или сценариях — Описать и провалидировать API / интеграции — Провести AI-assisted review решения — Проверить пользовательский сценарий end-to-end — Организовывать работу так, чтобы AI ускорял discovery, валидацию и delivery, а не просто помогал писать тексты и тикеты — Удерживать фокус на результате для бизнеса и пользователя, а не на количестве фич Требования: — Опыт работы Product Manager / Product Owner в software-продуктах или заказной разработке от 5 лет — Техническое образование или опыт в аналитике / разработке — Техническая погружённость: понимание frontend/backend, API, данных, интеграций, ограничений разработки и release-процесса — Способность разобраться в существующей системе (в том числе вместе с coding agent) — Умение отличать сильное продуктовое и техническое решение от слабого и разговаривать с Tech Lead / Senior на одном языке — Реальный опыт работы с AI-агентами (не только ChatGPT), особенно для исследования, прототипирования и проверки гипотез — Умение выстраивать процесс работы с AI: что отдавать агенту, какие решения оставлять человеку, как проверять результат и снижать риски галлюцинаций — Способность проходить путь: business problem → discovery → scope → solution → prioritization → delivery → verification → value — Умение выбирать простое и быстрое решение вместо технологически красивого, но долгого, когда оба закрывают потребность Будет плюсом: — Опыт самостоятельного создания с AI работающего продукта, внутреннего инструмента или automation — Опыт работы с coding agents, MCP, Playwright, agent orchestration Условия: — Удаленный формат с гибким графиком — Официальная оплата, прозрачные условия и регулярный пересмотр компенсации — Доступ к ИИ-инструментам разработки за счёт компании — Переработки не приветствуются, но если бывают — честно оплачиваются — Компенсация участия в конференциях, поддержка публикаций и выступлений — Минимум бюрократии, максимум свободы и доверия

Задачи: — разработка классических LLM агентов — разработка tools для агентов, а также skills-инструкций для LLM — воспроизведение основных паттернов разработки в продуктовой парадигме — участие в обсуждении требований с бизнес-заказчиками — контроль качества agent-pipeline — декомпозиция верхнеуровневых задач на исполнимые в рамках разработки — вывод в production llm-приложений, agent'ских систем. Требования: — знания в области: математических анализ, линейная алгебра, Deep Learning, Classic ML, Python (async, fastapi, Semaphore) — высшее образование (МГУ, Физтех, ВШЭ, РЭШ и тд) — понимание построенных целевых решений, предложения по внесению изменений в архитектуру — опыт работы в open-source LLM (GLM5.2, qwen 3.5, etc) — знание фреймворков LangChain, LangGraph, fastapi, huggingface, а также regex и иных библиотек по обработке текста — vanilla RAG, Advanced RAG, работа с контекстом llm — базовое знание принципов промышленной разработки на python (SOLID, Singleton) — базовый MLops (работа с version control, CI/CD) Будет плюсом: — опыт работы с openclaw, его форками — использование llm GigaChat, Kandinsky — опыт работы в финтехе — опыт использования и доработки OCR. Условия: — комфортный современный офис рядом с м. Кутузовская — возможность выбрать удобный график – офис/гибрид — ежегодный пересмотр зарплаты, квартальная и годовая премия (премия указывается в зависимости от должности и системы премирования) — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — программа адаптации и помощь руководителя на старте (для вакансий уровня Junior) — расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера.

Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT PRODUCTION ENGINEERING Production Engineering is Ramp's infrastructure ownership layer. We exist to make Ramp faster, more reliable, and more scalable — and we do that by being embedded in the problems, not adjacent to them. A few things that define how we operate: - One team, one company, one objective. There is no "infra team" and "product team" — there is Ramp. We share the company's goals as our own. When a product team struggles with reliability or scalability, that is our struggle. - If reliability or scalability is at risk, we own it. We don't wait to be invited, and we don't ask whose code it is. If a system is slow, if it breaks, if it won't scale — that's ours to lead, regardless of where it lives in the stack. - We go first, and we go fast. When the path isn't obvious, we don't wait for someone else to find it. We move with urgency, propose the solution, align the stakeholders, and stay in until it's done — not until our ticket is closed. - We lead the way. We find the next problem before it finds us. And when we solve it, we don't just fix it for ourselves — the patterns and standards we establish become the foundation the rest of Ramp builds on. That's not a side effect of the job; it's the job. - We stay calibrated. Speed means nothing if we're moving in the wrong direction. We regularly stop and ask honestly whether what we're working on is still the highest-leverage thing we could be doing — the discipline that makes sure our effort compounds toward what actually matters. You cannot build the future of finance on shaky infrastructure. OUR TEAMS Production Engineering is organized into teams — but we think about teams differently. Teams are mutable. We build them around what needs to be done, not around what we need to do given the teams we already have. The structure below reflects our current priorities; it will evolve as Ramp does. Right now, we operate across four areas: - Compute — the foundation everything runs on: container orchestration, networking, load balancing, edge infrastructure, and the deployment systems that get code from engineers' laptops to production reliably and at scale - Storage — databases, caching, object storage, and the data infrastructure that underpins everything - Workflows & Messaging — the systems that power Ramp's financial workflows and event-driven architecture - Developer Infrastructure — the platform that makes every builder at Ramp faster and more autonomous: observability, cost attribution, and CI/CD systems that give teams visibility into what they build and what it costs WHAT YOU'LL DO Production Engineers at Ramp are full software engineers who happen to specialize in infrastructure. You write production code, you own systems end-to-end, and you drive technical outcomes across the organization — not just within your team. As a Tech Lead & Manager, you are a hands-on player-coach: you will lead and grow a team while remaining directly engaged in the technical work. Management at Ramp does not mean stepping away from the technology or the code. You will help set direction, develop engineers, and work alongside the team to deliver consequential infrastructure outcomes. Day to day, you will: - Build, coach, and grow a high-performing team. Create clarity, give direct feedback, mentor engineers, and help each person expand their technical judgment, ownership, and leadership. - Set technical direction for your team’s domain. Identify the highest-leverage problems, define a path forward, bring the right people along, and stay engaged with the team until the work is delivered. - Build and operate critical infrastructure across Ramp's compute, storage, messaging, and observability stack — owning the systems that handle real financial transactions at scale. - Drive architectural change — not just flag problems. When you surface a reliability or scalability issue, you own the path forward: you propose the solution, find the owners across engineering, and stay in until it's resolved. - Partner with product teams at the design phase — reviewing architectures, embedding golden paths, and making it easy to build correctly the first time. - Build Ramp's next level of scale — you'll be a hands-on contributor to the most consequential infrastructure shift happening right now: our move to a cellular architecture, enabling Ramp to scale, reach international markets, operate in highly regulated and constrained environments (e.g. FedRAMP), and deliver on enterprise-grade SLAs. - Enable AI-native engineering — as Ramp builds increasingly AI-powered products, PE is the team that makes sure the platform can support them. You'll proactively partner with product teams on AI infrastructure patterns, define the golden paths that turn one-off solutions into reusable foundations, and stay ahead of emerging challenges before they become blockers. - Build developer tooling and self-service infrastructure — so that other teams can answer their own questions (cost, performance, reliability) without involving PE. - Participate in on-call rotation — and more importantly, use every incident as a signal to eliminate the root cause, not just resolve the symptom. - Lead across the company — PE doesn't just review designs or show up when called. We proactively initiate cross-team architectural reviews, and we take full ownership of company-wide reliability and scalability initiatives: identifying the problem, proposing the solution, aligning the stakeholders, and staying in until it's done. WHAT WE LOOK FOR We don't hire for a checklist. We hire for the instincts that make someone exceptional on this team. The mindset we're looking for: - You love building teams, mentoring engineers, and helping people grow—and you are equally energized by writing code, reviewing designs, and digging into complex distributed systems. - You are a true player-coach. You know when to coach, delegate, and create space for others to lead; you also know when your direct technical involvement will create the most leverage. - You can set a technical direction, bring people along, and then lock in with the team to make it happen. - You do not believe managing engineers means stepping away from the technology or the code. - You can't walk past something broken without wanting to fix it — and you don't stop at the workaround. You find the root cause and eliminate the class of problem. - You think in systems, not tasks. You understand that "fixing the bug" is step one; making it so the bug can't happen again is the job. - You move with urgency but without chaos. You know when to go fast and when to slow down and do it right. - You treat product teams as your users. You build for them, communicate with them proactively, and measure success by how much faster they can ship. But you're also an owner — when something is broken or blocking, you don't wait to be asked. We win when our customers win. - You leave things better than you found them. Every system you touch, every process you encounter — you move it forward. Not always dramatically, but always directionally. You picked it up in a certain state; you leave it in a better one. - You are equally comfortable reading a database query plan, reviewing a system design doc, writing a Terraform module, and jumping into an incident at 2am. Experience profile: - 8+ years of software engineering experience, including a track record of shipping high-quality architectures for critical systems. - Staff+-level technical leadership: experience setting technical direction and leading complex, multi-quarter technical initiatives from ambiguous problems through durable production outcomes. - Experience managing, mentoring, and developing engineers. You create clarity, give direct feedback, and help people grow in technical judgment, scope, and leadership. - A sustained hands-on engineering track record. You are comfortable writing and reviewing production code, evaluating system designs, debugging incidents, and making difficult technical tradeoffs. - Hands-on experience building and operating distributed systems at production scale. - Strong software engineering fundamentals — you write clean, well-tested, production-ready code and set that standard for the team. - Experience with at least one major cloud provider (AWS preferred). - Familiarity with observability and reliability practices, including SLOs, error budgets, alerting, dashboards, and incident response. - Track record of delivering through cross-functional coordination: aligning stakeholders, unblocking teams, and staying accountable for the outcome. - Comfortable using AI tooling and coding agents as part of your everyday engineering workflow — and helping a team use them to move faster and think bigger. Bonus (not required): - Experience with cellular or multi-tenant architecture patterns - Prior work on workflow orchestration systems (Temporal) - Contributions to developer experience or internal platform tooling - Experience in fintech, payments, or regulated industries (FedRAMP, SOC 2) BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Product Manager to join our Product team. You will own Vercel's networking and CDN product areas. Networking includes the service mesh, Perimeter, VPC connectivity, and Microfrontends. CDN includes the caching layer, traffic security through WAF and DDoS mitigation, domains, and general ingress. You will set direction for how applications and services connect securely, how traffic enters Vercel, and how content is delivered quickly and reliably around the world. You will report to the Product Lead and will be located in San Francisco, CA (hybrid). If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Own the product vision, strategy, and multi-year roadmap across Vercel's Networking and CDN product areas Evolve existing Networking and CDN products (service mesh, Perimeters, Ingress, caching layer, Traffic security, WAF, DDoS mitigation, Domains) by defining new features and designing new product surfaces. Define pricing for new products or features. Partner with Engineering on the performance and reliability. Work directly with Enterprise customers and the field on connectivity, networking, performance, and security requirements that block adoption or scale What you need You've built and shipped networking, CDN infrastructure, service mesh, or private connectivity products You have the technical depth to reason about service-to-service networking, VPC connectivity, HTTP caching semantics, cache invalidation, TLS, DNS, and global request routing You have experience with Layer 7 security products such as WAF, DDoS mitigation, or bot management You understand the networking and routing challenges of composing independently deployed services into applications You have owned multiple connected products and set direction that other product teams built against You have experience working directly with Enterprise customers on networking, connectivity, and security requirements You have experience using usage, reliability, and performance data to drive roadmap decisions Bonus if you Have worked at a cloud provider or on a serverless, container, or edge compute platform Have an engineering background or have operated production network infrastructure Have worked on products where incident response and postmortems are a regular part of the job Have experience with compliance and security requirements in enterprise procurement Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Product Manager to join our Product team. You will own Vercel's compute platform — Fluid compute, Vercel Functions, Sandbox, and more — the layer that runs every workload our customers deploy. You will set the direction for how developers configure, scale, and run code on Vercel, from a single function, to multi-service architectures, to agents. You will report to the Product Lead and will be located in San Francisco, CA (hybrid). Vercel invested in its own microVM-based compute infrastructure externally called “Fluid compute”. Fluid changed what’s now possible to run on Vercel. For example, we’ve delivered Sandboxes, a new primitive to run untrusted and agent-generated code. We are just scratching the surface of what Fluid can deliver. This is a senior role with wide latitude: you'll decide where that platform goes next. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Own the product vision, strategy, and multi-year roadmap for Vercel's compute platform. Define how Vercel serves AI and agent workloads, where long-running, I/O-bound, and code-executing tasks have a fundamentally different compute profile than traditional request/response traffic. Shape the developer experience of running workloads on Vercel: resource model, attributes, API and config files. Partner with Engineering on the performance and reliability bar for compute, including cold starts and creation time latency Define pricing for new products and resources. Set the compute primitives that adjacent product areas build on, and work with those teams on what they need from the platform Work directly with Enterprise customers and the field on compute requirements that block adoption or scale What you need You've built and shipped infrastructure or developer platform products, ideally compute, serverless, containers, or runtime platforms You have the technical depth to reason about concurrency, cold starts, isolation models, and the cost and performance tradeoffs of a compute platform You have owned a platform area that other product teams build on, and set technical direction others adopted You have experience with AI or agent workloads and how their resource profile differs from conventional web traffic You have experience working directly with Enterprise customers on infrastructure requirements You have experience using usage and product analytics data to drive roadmap decisions Bonus if you Have worked at a cloud provider or on a serverless, container, or edge compute platform Have an engineering background or have built software yourself Have worked on multi-runtime platforms and the tradeoffs of supporting several language runtimes Have worked on sandboxing, isolation, or secure execution of untrusted code Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: US - Remote; San Francisco, CA; New York, NY; Washington, D.C. Workplace: Remote ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. ABOUT THE PUBLIC SECTOR TEAM - Sierra recently received FedRAMP High https://sierra.ai/blog/certified-fedramp-high certification and were awarded our first contract with a federal agency. We’re now building our founding public sector team to redefine the relationship between the government and its citizenry. - Today, our agents already enable citizens to access social services, report fraud, and understand complex government systems. Simultaneously, they empower government officials to better hear the concerns and inquiries of their constituencies. - We are explicitly nonpartisan and committed to empowering public servants to leverage AI to advance their important missions. - In our journey, we are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. WHAT YOU'LL DO - Build and lead Sierra’s public sector sales team: Recruit, develop, and lead a team of account executives serving strategic federal, state, or local government accounts. Set clear expectations, coach for performance, and build a culture of customer obsession, accountability, and consistent execution. - Own revenue growth and territory strategy: Translate Sierra’s public sector ambitions into territory coverage, account priorities, pipeline goals, and revenue plans. Allocate resources thoughtfully, maintain rigorous forecasts, and drive the team to consistently achieve or exceed revenue targets. - Create opportunities around mission outcomes: Build executive relationships with agency leaders and help your team translate priorities such as constituent access, service delivery, workforce effectiveness, and program integrity into compelling AI agent opportunities. Serve as an executive sponsor for strategic accounts. - Guide complex sales cycles from discovery through award: Coach account executives through long, multi-stakeholder government buying processes and engage directly at critical moments. Mobilize cross-functional support for executive alignment, solution development, business cases, security and legal reviews, pricing, proposal strategy, negotiation, and close. - Shape acquisition and capture strategy: Ensure every priority opportunity has a credible path to contract and a disciplined capture plan. Help the team navigate funding, fiscal-year timing, competitive dynamics, and procurement pathways—including GSA schedules, GWACs, IDIQs, BPAs, state schedules, and cooperative purchasing agreements. Lead deal reviews that surface risks early and turn strategy into clear next steps. - Scale Sierra’s partner ecosystem: Partner with public sector and partnerships leadership to build productive relationships with prime contractors, systems integrators, resellers, distributors, small-business partners, and technology providers. Guide decisions about direct sales, subcontracting, teaming, and partner-led transactions to expand customer access and accelerate growth. - Lead strategic prime and teaming relationships: Establish executive alignment with key partners and help shape account ownership, deal registration, workshare, and joint go-to-market plans. Ensure partnerships bring meaningful customer access, past performance, implementation capacity, or procurement pathways—and translate into qualified pipeline and successful delivery. - Drive disciplined pursuit and proposal decisions: Partner with the Public Sector GM on bid/no-bid recommendations and prioritize resources across strategic pursuits. Align sales, legal, security, product, engineering, and delivery teams to produce procurement responses that are compliant, differentiated, and precise. - Stay accountable for customer success: Build trust with senior agency leaders, establish strong handoffs from sales to delivery, and remain engaged through deployment and expansion. Help resolve escalations and ensure commitments made during the sales process support lasting customer relationships. - Build a repeatable public sector go-to-market motion: Work with public sector leadership to refine account segmentation, hiring and capacity plans, capture processes, partner strategy, contract-vehicle priorities, and sales playbooks. Bring market signals and customer feedback to product and company leadership to shape Sierra’s platform and public sector strategy. - Lead an AI-native sales organization: Embed AI into how the team researches accounts, develops outreach, synthesizes calls, plans opportunities, creates proposals, and forecasts. Model effective use, share successful practices, and help account executives spend more time on judgment, strategy, and customer relationships. WHAT YOU'LL BRING - 15+ years of selling experience: Extensive experience in enterprise customer-facing sales role, specifically selling to the U.S. government. - People leadership experience: 10+ years managing, mentoring, and developing a high-performing enterprise sales team. - Enterprise experience: You've run and managed end-to-end complex deals ($1M+). - Strong fluency in government acquisition and procurement, including funding and budget cycles, competitive solicitations, proposal processes, task orders, and common Federal or state contract vehicles. - Experience developing and executing capture strategies before a solicitation is released—not simply responding once an RFP is public. - A strong network and demonstrated ability to work with government technology partners, including prime contractors, systems integrators, resellers, distributors, and small-business teaming partners. - Sound judgment about direct, channel, prime/subcontractor, and teaming models, with the ability to select and execute the right path for a particular agency and opportunity. - The ability to build credibility with agency executives, program leaders, contracting and procurement officials, security teams, and technical stakeholders—and to align those groups around a shared path forward. - Excellent executive communication, negotiation, account planning, and forecasting skills. You are rigorous about details, procurement milestones, and next steps. - A passion for public sector work and a belief in the potential of government institutions to improve outcomes for the people they serve. - Comfort operating with high ownership in an early-stage business: you create structure where it does not yet exist, move with urgency, and collaborate deeply across functions. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

О вакансии: Главный PHP-разработчик в команду MAGNIT TECH. Формат работы: гибрид или офис (Москва, Краснодар), удалённо из других городов РФ. График 5/2 с гибким началом. Оформление в аккредитованную ИТ-компанию. Обязанности: — Разрабатывать backend на Laravel — Проектировать и описывать отказоустойчивую бизнес-логику на PHP 8.x с использованием возможностей Laravel — Оркестрировать ИИ через Dify; — разворачивать, конфигурировать и интегрировать Dify (Workflow, Agents, RAG); — связывать backend приложения с Dify API — Проектировать и разрабатывать API (RESTful, gRPC) — Создавать чистые, документированные RESTful/gRPC контракты для мобильных и веб-клиентов — Управлять асинхронными процессами, оптимизировать тяжелые запросы к LLM через очереди (Laravel Queues/Horizon) — Настраивать потоковые передачи ответов (Server-Sent Events / стриминг) — Проектировать и оптимизировать схемы реляционных БД под хранение истории диалогов, контекста, логов и сессий ИИ — Писать Unit/Feature тесты (Pest/PHPUnit) — Участвовать в Code Review и поддерживать высокие стандарты кодовой базы Требования: — Коммерческий опыт разработки на PHP от 4 лет, из которых не менее 2 лет — активная работа с Laravel — Глубокие знания баз данных и систем кэширования: Redis и PostgreSQL — Глубокое понимание асинхронного взаимодействия сложных систем, очередей и планировщиков задач (Cron) — Уверенные знания SQL; — опыт оптимизации сложных запросов, индексации и проектирования архитектуры данных для высоконагруженных систем — Опыт написания тестов (Pest/PHPUnit) Будет плюсом: — Опыт интеграции Dify или аналогичных LLM-оркестраторов (Flowise, Langhope) — Понимание специфики LLM: токенизация, контекстные окна, эмбеддинги и семантический поиск

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is looking for a Senior Partner Enablement Manager to own internal and external partner enablement and drive aligned GTM outcomes across our partner ecosystem. Reporting to the Sr. Director of Sales Enablement, you will design and deliver the training, certification, and enablement programs that connect Docker’s partner community — Channel partners, Hyperscalers (AWS, Azure, GCP), Global System Integrators, and Technology ISVs — to a shared, coordinated go-to-market motion. Every program you build, every piece of content you ship, and every internal enablement session you run exists to accelerate GTM outcomes: more partner-sourced pipeline, stronger co-sell execution, and faster revenue through the ecosystem. Docker’s partner ecosystem is a strategic growth lever, and AI Governance (AIG) is our primary co-sell motion. You’ll ensure every partner type understands Docker’s AIG value proposition, knows how to run joint sales plays, and is ready to engage customers alongside our field teams. Equally, you will serve as the internal GTM connector for Docker’s own sellers — equipping AEs, SEs, and CSMs with the partner playbooks, account mapping skills, and co-sell readiness they need to drive pipeline through the ecosystem. If you love building from scratch, orchestrating complex programs across diverse partner types, and making an entire ecosystem move toward a common GTM goal, this role is for you. _______________________________________________________________________ RESPONSIBILITIES External Partner GTM Enablement — Training & Certification - Design, build, and continuously improve training and certification programs tailored to Docker’s partner community across Channel, Hyperscaler, G/SI, and Technology ISV partners — all anchored to enabling partners to execute Docker’s GTM motion. - Develop role-based learning paths that give partners the product knowledge, messaging fluency, and technical depth they need to sell and support Docker effectively — with AI Governance as the primary GTM anchor. - Leverage and extend Docker’s Accreditation Platform to scale partner certification, track completion, and recognize partner expertise across the ecosystem. - Manage certification tracks end-to-end — from curriculum design and facilitation to assessment, badging, and ongoing recertification — tying completion to measurable GTM readiness. External Partner GTM Enablement — Content & Programs - Develop and maintain a library of partner-specific GTM content including joint sales plays, co-sell decks, competitive positioning, product overviews, and objection handling guides — all built to activate partners in the field. - Partner with the Partner team to identify enablement gaps across each partner segment and build scalable programs to close them in service of shared pipeline goals. - Own and administer Docker’s partner enablement infrastructure, with Impartner as the primary partner management and learning platform. - Establish Impartner as a world-class partner portal — driving adoption, improving the partner experience, and continuously optimizing the platform for discoverability and GTM engagement. - Partner with Product Marketing to translate new launches and messaging — especially around AIG — into partner-ready GTM materials that are accessible, timely, and field-tested. Internal GTM Enablement — Enabling Docker’s Field to Win with Partners - Own the internal side of partner GTM: equip Docker’s AEs, SEs, and CSMs to confidently work alongside partners and drive joint pipeline. - Build and maintain “How to Win with Partners” resources for Docker’s field teams — covering account mapping, co-sell cadences, joint pipeline management, and partner engagement models tied to GTM outcomes. - Build co-sell plays and joint sales materials that connect Docker’s AIG story to each partner type’s unique value proposition (e.g., Hyperscaler integrations, G/SI delivery models, Channel resell motions). - Develop and deliver enablement on how to run effective account mapping sessions with partners — including preparation, joint prioritization, and follow-through. - Support account mapping in Salesforce (SFDC) between Docker AEs and partner sales teams, ensuring the right structure and training exists to make joint pipeline sessions productive. - Run internal enablement sessions on partner engagement models, referral and resell programs, and co-marketing strategies to drive joint pipeline and GTM velocity. GTM Velocity & Impact - Drive velocity in Docker’s partner program by ensuring partners are enabled, certified, and ready to engage customers at every stage of the sales cycle. - Track partner readiness KPIs — including pipeline contribution, certification completion, co-sell engagement, and account depth — and tie every enablement investment to measurable GTM outcomes. - Use partner performance data, completion metrics, and field feedback to identify gaps and continuously sharpen programs. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 5+ years of experience in partner enablement, channel enablement, or partner programs in a SaaS or technology company. - Demonstrated ability to design and deliver scalable partner training and certification programs anchored to GTM outcomes — not just content management. - Proven experience managing a partner portal or LMS — Impartner experience strongly preferred. - Strong understanding of channel dynamics, co-sell motions, and partner ecosystem economics across Channel, Hyperscaler, and G/SI partner types. - Experience building or supporting account mapping processes and joint pipeline programs between a vendor’s field team and partner sales organizations. - Excellent communicator — able to engage and build credibility with both external partners and internal field stakeholders. - Strong project management skills with the ability to manage multiple programs and deadlines simultaneously. - Data-driven mindset — you use metrics to prioritize, measure, and connect enablement investment to GTM results. STRONGLY PREFERRED - Experience building partner enablement programs from scratch in a high-growth SaaS environment. - Familiarity with Command of the Message or other structured sales methodologies. - Exposure to AI, containerization, DevOps tooling, or developer platforms — Docker experience a significant plus. - Experience enabling partners around a primary GTM motion or strategic product category (e.g., AI/ML, security, cloud infrastructure). - Experience working cross-functionally with Sales, Marketing, Product, and Partner teams to align enablement with go-to-market priorities. - Demonstrated ability to manage external relationships with partner stakeholders and influence GTM execution without direct authority. _______________________________________________________________________ WHAT TO EXPECT We believe in setting people up to win. Here’s what great looks like in this role: FIRST 30 DAYS — LEARN & LISTEN - Ramp on Docker’s platform, partner ecosystem strategy, and the current state of partner enablement across Channel, Hyperscaler, G/SI, and ISV segments — with a specific eye toward GTM alignment gaps. - Audit existing partner programs, content, and the Impartner platform — understand what exists, what’s missing, and what partners actually need to execute Docker’s AIG GTM story. - Build relationships with the Partner team, Sales leadership, and key partner stakeholders to understand the ecosystem’s GTM motion from the inside out. FIRST 90 DAYS — TAKE OWNERSHIP - Take full ownership of the Impartner platform — establish governance, improve the partner experience, and begin driving adoption tied to GTM engagement. - Deliver the first partner training or certification module (with AIG as the GTM anchor) and gather field feedback to iterate. - Launch at least one “How to Win with Partners” internal enablement resource and one account mapping framework for Docker’s field teams. FIRST YEAR — DRIVE GTM IMPACT - Operate a fully functioning partner enablement program with measurable readiness scores, certification completion rates, and partner-sourced pipeline contribution. - Be recognized by the Partner team, partner community, and Docker’s field teams as the go-to resource for partner GTM enablement, co-sell readiness, and joint pipeline execution. - Demonstrate clear linkage between partner enablement investment and partner-driven GTM outcomes — pipeline generated, quota retired, and account depth increased. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$166,950 – CA$238,500 base United States: $120,400 – $172,000 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Remote; Seattle, WA; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Runway is looking for a Marketing Manager to help build and scale high-impact marketing programs across our creator, partner, sponsorship, and growth ecosystem. This is a generalist marketing role for someone who can move fluidly between strategy and execution. Some immediate areas of focus include influencer creator partnerships, sponsorships, and partnership marketing. The right person is commercially minded, highly organized, creative, and comfortable operating in ambiguity. We are looking for someone who can build repeatable programs, manage relationships, and execute campaigns to turn marketing ideas into measurable growth. WHAT YOU’LL DO - You will own and support marketing programs that help Runway reach priority audiences, grow demand, and deepen our presence among our target audiences. - In the near term, this will include managing creator and influencer partnerships including affiliates, evaluating sponsorship opportunities, and building co-marketing programs with customers, technology partners, model providers, vendors, and ecosystem partners. - You will work across the full program lifecycle: identifying opportunities, developing briefs, managing outreach, coordinating execution, tracking performance, and recommending what to scale, change, or stop. - You will partner closely with growth, creative, comms, events, PMM, sales, business development, legal, and finance to make sure programs are clear, on-brand, operationally sound, and connected to business outcomes. WHAT WE’RE LOOKING FOR - We’re looking for a marketing generalist with strong executional judgment and enough strategic range to work across multiple types of programs for a range of B2C and B2B audiences. - Experience managing creator partnerships with a clear view of how long-form content performs differently from short-form and other social channels. - 4+ years of experience building marketing campaigns, influencer, affiliate, or growth programs from 0 to 1. - Experience managing external relationships: creators, sponsors, agencies, freelancers or vendors. - Experience writing briefs, managing timelines, coordinating stakeholders, and translating broad goals into concrete plans. - Strong taste, communication skills, and judgment around brand, audience fit, creator quality, partner value, business impact, and operational tradeoffs. - You should be comfortable with ambiguity and able to build from scratch. This role requires someone who can create structure where it does not yet exist, but without slowing the team down with unnecessary process. - You should care about measurement and be able to connect marketing programs to outcomes such as subscriptions, ARR, and enterprise pipeline influence. NICE TO HAVE - Experience in AI, SaaS, subscription products. - Experience creating partner-facing materials such as briefs, sponsorship packages, or co-marketing materials. - Familiarity with Runway, AI video, creator communities, internet culture, and the broader creative technology ecosystem. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024