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Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Platform Storage is a core platform engineering team specializing in stateful infrastructure (PostgreSQL/RDS, Kafka (MSK), MongoDB, DynamoDB, and Elasticache/Valkey) for Fanatics Betting & Gaming. We own database and streaming reliability for dozens of product engineering teams, acting as both platform builders and embedded technical partners. Our core toolset is Python, Terraform, and SQL, with a focus on self-service tooling, GitOps managed infrastructure, and hands-on ownership of production systems. About the Role Fanatics Betting & Gaming (FBG) is seeking a Staff Platform Storage Engineer to join our Platform Storage team, based in the United States. This role owns a critical slice of our core platform infrastructure,  including a portfolio of production PostgreSQL databases and our Kafka/MSK streaming platform,  and acts as the embedded platform liaison for the product teams built on top of them. As a Staff Engineer, you will operate with a high degree of autonomy, leading complex database and streaming infrastructure initiatives, setting standards for reliability and performance, and acting as the go to technical resource for schema design, query performance, and incident response across the teams you support. Responsibilities Own database liaison responsibility for a portfolio of production PostgreSQL/RDS instances — query review, schema change approval, performance tuning, and incident triage for the teams built on top of them. Operate and evolve our Kafka/MSK streaming platform: topic lifecycle management via GitOps, cluster health across environments, and CDC (Debezium) pipeline reliability. Build and maintain self-service tooling that lets product teams provision database and streaming resources without a manual ticket queue. Drive platform stability projects — operator/version upgrades, root-cause fixes for recurring operational issues, and proactive capacity/cost optimization across the database and streaming fleet. Act as the technical escalation point for cross-team incidents where the root cause traces back to shared platform infrastructure (replication lag, connection exhaustion, CPU/throughput issues). Represent Platform Storage in cross-org infrastructure initiatives and standardization efforts. Mentor engineers and participate in on-call rotations. What You Bring Strong, hands-on Python — a primary tool of the role, not incidental. 5+ years using Python day-to-day is a strong signal. 8+ years of experience in platform, infrastructure, or database engineering, with deep hands-on experience operating and running PostgreSQL (RDS) in production at scale — this is an infrastructure-ownership role, not an application-development role that happens to use Postgres. Strong experience operating Kafka (MSK or self-managed) in production, including topic management and CDC/event-streaming pipelines. Strong SQL fluency — comfortable diagnosing query performance issues and reviewing schema changes for teams you don't sit inside of. Working knowledge of Infrastructure as Code (Terraform). Experience owning production database reliability across multiple downstream teams simultaneously — able to prioritize across a portfolio, not just one system. Strong cross-team communicator; this role is equal parts infrastructure engineering and technical partnership with the teams you support. Nice to Have Experience with GitOps-managed Kubernetes operators (Strimzi or equivalent) for stream infrastructure. MongoDB or DynamoDB operational experience. Experience with pgbouncer, connection pooling, and query-level performance diagnostics. Prior work on platform cost optimization initiatives at multi-cluster scale. Exposure to regulated or high-availability environments (gaming, fintech, or similar). Who Thrives Here Operates with a high degree of autonomy and ownership, leading complex initiatives with limited direction. Comfortable influencing without authority and driving technical clarity in ambiguous problem spaces. Communicates effectively across regions and time zones (US, UK, Ireland). Cares about platform reliability, developer experience, and long-term system health. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-VG1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $172,800 — $216,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Oakland, California, United States, AMER; USA - New York 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 Fivetran + dbt Labs is hiring a Senior Manager to lead the Product Design team responsible for dbt Labs. This role reports to the Director of Product Design. This is an exciting time to join! As Fivetran and dbt Labs come together, you will help shape a coherent product experience, guide the design team through change, and influence the future of AI-powered data products. You will join a strong and talented design organization whose members care deeply about their craft, the practitioners they serve, and one another. This is a people management and product leadership role for a design leader who wants to shape technical data products at scale. You will manage and develop a team of product designers, shape the UX strategy for dbt products, and partner with Product and Engineering leaders to define how data teams build, transform, govern, and trust their data. You will lead through strategy, coaching, direction, and cross-functional partnership. What you'll do Lead the dbt product design team You will manage and coach a team of product designers who work across dbt platform and CLI-based products. Designers own the full design process from problem definition and research to UX/UI and partnering with eng/PM through delivery. You will build a culture where designers feel supported, challenged, and empowered to do thoughtful, high-quality work for deeply technical users. You will set clear expectations, give actionable feedback, support career growth, and create the conditions for strong design craft. Own UX strategy for dbt You will define and drive UX strategy across dbt’s product experience. You will identify the highest-impact experience opportunities, connect design priorities to product outcomes, and partner with Product and Engineering leadership as a strategic peer in roadmap and product direction conversations. Provide design direction for technical data products You will set direction for design work across complex workflows used by technical practitioners. You do not need to be an engineer, but you do need enough technical fluency to understand the domain, evaluate tradeoffs, and partner credibly with engineering leaders. You should be comfortable discussing data workflows, ELT, analytics engineering, developer tools, and infrastructure-oriented product experiences. Shape AI and agentic product experiences You will lead design strategy for AI-powered and agentic experiences within dbt. This requires more than adding AI features to existing workflows. You will help the team design systems that make AI assistance understandable, useful, and safe for high-stakes technical work. As dbt builds experiences where both humans and AI agents interact with the same data infrastructure, you will also think about how product surfaces need to work for both personas. Help integrate Fivetran and dbt Labs design You will play an important role in co-creating a unified product experience and design culture. This is a change-leadership role. You will partner with the Director of Product Design to merge systems, processes, and culture. You will help designers navigate a new organizational context, build strong cross-functional relationships, and create clarity during a period of product and company evolution. Build an AI-native design operating model You will operationalize AI across the design lifecycle (from research synthesis and ideation to prototyping, documentation, and design QA). You will establish shared workflows, quality standards, and review practices that help the team move faster without compromising product quality or consistency. In partnership with the Director of Product Design and Product and Engineering leadership, you will also define cross-functional standards for when AI-generated work requires design review, ensuring clear expectations for human oversight, quality, and continuous improvement. What we're looking for Required experience You have 8+ years of product design experience and at least 5 years managing product designers. Strong people management skills, including coaching, performance development, direct feedback, and team culture building. Strong cross-functional leadership with Product, Engineering, Research, Data, Marketing, and executive stakeholders. Deep care for craft, with a leadership style focused on direction, critique, strategy, and coaching rather than acting as the primary IC designer. Designing for, or leading teams that design for, technically complex products such as ELT, data infrastructure, analytics engineering, developer tools, cloud platforms, data governance, observability, or adjacent enterprise infrastructure products. Designing AI-powered or agentic product experiences. You understand the difference between a lightweight AI feature, a copilot, and an agentic workflow. Experience operationalizing AI workflows for product design teams that goes way beyond AI prototyping. You have defined how designers use AI across the design lifecycle and have established the workflows, standards, review practices, and quality thresholds needed to make AI-assisted work effective at team scale. Owning UX strategy for a meaningful product area. You can show how your design strategy influenced product direction, not just how your team delivered screens. Strong technical fluency. You can reason about complex systems, understand engineering constraints, and discuss tradeoffs with Product and Engineering partners. Experience designing for expert technical users such as data engineers, analytics engineers, software engineers, platform teams, or security teams. #LI-DJ1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $201,765 — $252,206 USD 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.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As our Cloud Hyperscaler Readiness Lead, you’ll build scalable programs to set our cloud partners (AWS, Google Cloud, and Microsoft Azure) up for success. You will support the global sales teams across our cloud partners with content, training, and programming, working closely with Anthropic’s Product Marketing,Partner Enablement, and Cloud Partnership teams. Your job is to develop and curate the right material on a rapid cadence,   and to tailor content for each audience, ensuring that the messages, formats, and channels each cloud uses to upskill their sellers and solutions architects can position and deploy Claude with confidence. You’ll stay close to our GTM teams, using what our co-sellers are hearing in the field to sharpen what you build and how it lands. This role is the connective tissue that helps diverse audiences across all our cloud partners understand not just what Claude does but also why it matters to the customers they serve. Responsibilities Land our mission and differentiation. You'll make sure Anthropic's mission and our approach to safe, responsible frontier AI show up accurately and consistently wherever cloud sellers encounter us, so the case for Anthropic as the enterprise's trusted AI partner is clear. When positioning changes, you'll get the update into the right channels quickly and retire what's out of date. Ensure internal and external readiness. You'll shape our certifications and scaled training for the way each cloud learns and upskills its people. You won’t simply rinse-and-repeat known patterns; instead, you’ll shape programs that fit each provider's world and map to how its marketplace and co-sell mechanics actually work. Internally, you'll enable Anthropic’s field team to be aware of products and programs and effectively engage CSP partners. Connect the field to the content. You'll pair internal assets with what our GTM team are hearing in customer conversations, and turn that traction into co-sell plays and assets the next hundred sellers can use without anyone from our team in the room. Measuring Impact. You'll define the signals that connect this work to partner-sourced pipeline, deal velocity, and seller engagement, watch what's actually changing seller behavior, and adjust based on what you see. You may be a good fit if you have A working understanding of how Cloud Service Providers go to market Deep understanding of what motivates sellers, and how to land a message so it gets retained A track record of taking a narrative or asset to scale through channels you don't own, and showing what changed because of it Excellent program management skills, a systems mindset, and comfort operating in ambiguity against a fast launch cadence Experience pairing marketing and enablement content with field feedback to build plays, assets, and/or repeatable programs for internal and external teams A background in product marketing, partner or channel marketing, sales enablement, or co-sell program management. (We’re also very happy to hear from you if you come from a non-traditional background!) The ability to make safety and responsibility a credible, compelling part of a commercial story, and genuine interest in Anthropic's mission Strong presence in front of an audience, from a live seller call to a room of technical and commercial people at once The ability to influence people you don't manage, across Anthropic and inside large partner organizations Willingness to dive in and figure out what needs to be done, often without concrete guidance or a large supporting team Strong candidates may also have Experience with marketplace and/or reseller motions Experience shaping positioning and differentiation for enterprise buyers Experience launching technical products or platform capabilities through a channel or partner ecosystem Hands-on familiarity with LLM and AI developer tooling, or a demonstrated ability to get technical quickly in a new domain Experience using AI in your own day-to-day workflows to extend your scale and reach Familiarity with LMS and partner portal platforms 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: $270,000 — $310,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

Location: New York WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As an Enterprise Customer Success Manager, you’ll play a critical role in guiding our clients through their journey with Harvey, and help define the future of work at top enterprises and leading Law Firms. This position is pivotal in ensuring our clients not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes and workflows. WHAT YOU'LL DO - Strategic Implementation: Lead the integration of Harvey into client workflows, ensuring seamless adoption and optimal use of our AI solutions. - Training & Enablement: Evangelize the power of LLMs as you meet with and enable end users to adopt Harvey on a daily-basis as it becomes a “must have” product. - Client Relationship Management: Serve as the primary contact for clients with a prescriptive and consultative approach and serving as a thought partner to deliver a superior customer experience. - Success Metrics Management: Leverage adoption rates, utilization metrics, and other KPIs to drive strategies ensuring client satisfaction and high ROI. - Advocacy and Engagement: Encourage user and stakeholder engagement, transforming them into Harvey advocates within their organizations. - Customer Health Monitoring: Use analytics and feedback to maintain customer satisfaction, ensuring readiness for renewal and expansion opportunities. - Feedback Loop: Relay client insights back to our internal teams, aiding in the continuous improvement of our product and services. - Travel may be required from time to time, including visits to customer office locations and company offices. WHAT YOU HAVE - Experienced background in asset management, banking or financial services or strategic customer success/account management experience, legal (big law) or top tier management consulting firms and direct experience managing large-scale technology projects. - Individuals with excellent communication and strategic planning skills, capable of influencing stakeholders at various levels. - Results driven candidates who are able to ruthlessly prioritize competing tasks and demanding customers seamlessly - Team players described as committed, collaborative and proactive with a team-first mentality. WHAT WE OFFER - A chance to be at the forefront of AI technology and innovation, directly impacting how our clients' businesses operate and thrive. - An opportunity to contribute to the growth and direction of our rapidly-evolving Customer Success program, building out best-in-class playbooks and processes. - A collaborative work environment that promotes growth, learning, and development. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Canada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Toronto; Victoria; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models, to be exact) learn in similar ways to humans, by way of feedback. By labelling, ranking, auditing, and correcting model output, you will improve Large Language Models' performance for iterations to come, thus having a lasting impact on Cohere's technology. We are hiring Generalist professionals with broad backgrounds that span multiple consumer-facing or personal domains. This is a judgment-driven role, not passive data entry. You will review, assess, and provide structured feedback across a broad and evolving range of tasks, evaluating, stress-testing, and improving our models on English-language data spanning multiple modalities (text, image, and structured formats such as JSON, CSV/TSV, and Markdown). This is a great opportunity for professionals with strong analytical skills to contribute to high-impact annotation projects. Please Note: This is a part-time independent contractor position available within Canada only. We seek candidates who can commit to 16 hours per week at a CAD $30/hour contract rate. This role is BYOD 💻 (Bring Your Own Device, laptop). This position is remote. As an Data Annotation Specialist, you will: - Evaluate and rank model outputs: Complete preference and comparison tasks, assessing which responses best conform to project guidelines for accuracy, helpfulness, tone, and safety, and writing clear justifications for your judgments. - Stress-test and break models: Probe models adversarially to surface failure modes, unsafe behavior, and capability gaps, and document reproducible cases that engineering and research teams can act on. - Create datasets: Author high-quality prompts, responses, and exemplars to build training and evaluation datasets, following detailed specifications and editing machine-written or human-written outputs to standard. - Build and apply rubrics and taxonomies: Contribute to the design of grading criteria and rubrics, then apply them consistently to produce structured, high-quality annotations across task types. - Annotate and correct multimodal data: Label, audit, and rectify inaccuracies across text, image, and structured data, maintaining a high standard of data integrity and accuracy. - Calibrate and maintain consistency: Participate in calibration exercises and inter-annotator agreement checks to align on standards, and flag ambiguous or uncovered edge cases rather than guessing, since a single misjudgment replicated at scale degrades a model. - Adapt to experimental work: Take on new and evolving task types as project needs shift, applying sound judgment in areas where guidelines are still being developed. - Report on model performance: Surface and communicate quality and performance trends in model and agent behavior, giving cross-functional partners clear, well-evidenced feedback on where models succeed, fail, and degrade. You may be a good fit if you have: - 1+ years of experience in AI data annotation, LLM evaluation, content moderation, research, or a related analytical role, with exposure to quality assurance, and/or preference ranking. - Experience applying detailed guidelines to complex and often ambiguous content, with strong contextual and sociocultural judgment, sensitivity to nuance, tone, and register, and the ability to reason well in cases where there is no single correct answer. - Comfort with ambiguity: a willingness to flag unclear or uncovered edge cases rather than guess, and to work productively on novel, experimental tasks whose definitions are still evolving. - A sharp, curious eye for inconsistencies, subtle errors, and model failure modes, including the instinct to probe models adversarially and surface where they break. Familiarity with how large language models behave, such as hallucination, sycophancy, and instruction-following gaps, is a plus. - Excellent command of written English and strong reading comprehension, with the ability to clearly justify your evaluations, including why an output is correct or incorrect, high-quality or low-quality, and to write clear prompts and exemplars that explain your reasoning. Bonus points if you are fluent in another language! - Strong attention to detail and commitment to accuracy, with the ability to maintain consistency across high-volume and monotonous tasks. - Comfort working with annotation platforms and structured formats such as JSON, CSV/TSV, Markdown, XML, and YAML. - Strong execution in a remote environment, including good time management, comfort using new tools, and the ability to work independently in a global, asynchronous team. Candidate Journey - Initial Screening: Our Talent Team will review your application. - First Assessment: If selected to move forward, you’ll receive a multiple-choice assessment by email. - Second Assessment: Candidates who achieve a passing score will be contacted by a member of our team to complete a more comprehensive assessment focused on their area of expertise. - Video Screen: If selected to move forward, you’ll have a short video call with a member of our Operations Team. - Final: Selected candidates will receive an Independent Contractor Agreement. As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by contractors invoicing for services provided pursuant to the terms of our agreement with the contractor. It is important to understand that as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week. Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.

Location: New York City Office Workplace: Hybrid COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting. ROLE DESCRIPTION As an Enterprise Solutions Engineer, you’ll lead the design, delivery, and ongoing optimization of automation solutions for Tennr’s most complex customers — large-scale health systems, national provider groups, and enterprise partners. This is a highly technical, strategic, and customer-facing role that demands deep domain fluency, executive presence, and strong systems thinking. You’ll own enterprise-scale implementations end-to-end: from pre-sale discovery and business case alignment to go-live and expansion. You’ll act as both a trusted technical advisor and a project lead, working closely with senior customer stakeholders and cross-functional teams at Tennr to ensure lasting success. This role sits within a high-performance implementation pod and directly influences Tennr’s go-to-market and product strategy. RESPONSIBILITIES - Lead end-to-end enterprise implementations, from discovery to post-go-live - Align cross-functional teams and manage project delivery, risks, and change - Conduct operational audits to identify workflow gaps and automation opportunities - Design scalable, configurable solutions using Tennr’s platform and APIs - Reimagine processes with automation best practices, not just replicate legacy systems - Collaborate with Product, Engineering, and Sales to shape solutions and delivery scope - Maintain documentation, enable knowledge transfer, and improve internal delivery tools - Support sales strategy, mentor junior team members, and influence product roadmap QUALIFICATIONS - 6+ years of experience in enterprise SaaS delivery or solution design - A degree or minor in Computer Science, Engineering, or a related technical field is strongly preferred - Strong understanding of APIs, systems integration, and technical architecture - Proven ability to lead complex technical engagements with large enterprise customers - Skilled at communicating technical concepts to both executive and technical audiences - Experience navigating complex org structures and aligning cross-functional stakeholders - Strong problem-solving skills with a focus on strategic, scalable solutions - Business acumen and domain fluency — ideally in healthcare or similarly complex industries - Comfortable with ambiguity and fast-paced, unstructured environments - Demonstrated ability to mentor others and contribute to team-wide best practices - High ownership mindset and urgency — proactive, resourceful, and impact-driven Nice to Haves - Familiarity with workflow automation, RPA, or enterprise integration platforms (e.g., MuleSoft, Workato) - Background in consulting, solution architecture, or technical customer success - Experience in startup environments or scaling delivery functions WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week - Free lunch! Plus a pantry full of snacks. BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer funded 401(k) match - Competitive parental leave

Location: Remote; New York, NY 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 Open to hiring remote across North America - NYC, San Francisco, or Denver preferred. You will carry a book of 10-30 accounts - $1B to $5B+ revenue companies. You work in a pod with a dedicated Enterprise Engagement Manager on a shared book: one account plan, shared customer outcomes, and comp designed to maximize earnings and customer value. This is a role that requires a depth of expertise selling to Fortune 500 companies, knowing how to architect multi-disciplinary commercial deals, comfort regularly selling to C-Suite executives, and strategic GTM deal architecture. WHAT YOU'LL DO - Run 10-30 concurrent enterprise cycles a year at $100K - $1M+, from first outbound through production deployment - Build multi-threaded relationships across creative, marketing, technology, and procurement in $5B+ organizations - Win new logos in whitespace and source expansion in existing accounts - Work your pod plan with your Engagement Manager so consumption milestones land quickly - Forecast with the discipline of someone the CRO plans around: staged exits, named next steps, no happy ears WHAT YOU'LL NEED - 5+ years of enterprise software sales with consistent six and seven-figure deals - A quota history above 100% you can walk through year by year, President's Club achievement, etc. - Demonstrated account development: you have grown named accounts 2-3x, and renewals were the floor of that growth - Command of MEDDPICC or equivalent, with the CRM hygiene to prove your pipeline is real - Working AI fluency - you use generative tools yourself and can demo credibly to a skeptical enterprise buyer STRONG CANDIDATES MAY ALSO HAVE - Sold creative or content technology - Sold consumption or usage-based contracts - Sourced the majority of your own pipeline COMPENSATION OTE $275K - $340K (50/50 base to variable). Offers equity. 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

Location: Remote; Denver, CO; 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 Open to hiring remote across North America - NYC, San Francisco, or Denver preferred. Runway is scaling its Enterprise revenue organization with leaders who know how to build and scale high-performance teams. And, who can operate a revenue machine while keeping customer value in mind - leading our industry-based revenue pods responsible for both net-new ACV, NRR, and Renewal. This role is designed for the leader who wants to accelerate their CRO career trajectory. Someone who knows how to build and scale teams and leadership excellence from $100M to $500M+ organizations, operate in AI-native fluid environments, and have experience selling-to, expanding, and renewing with client operators from across a variety of ICPs (From operators in Marketing, HR, Operations, and Finance, to technologists in AI, IT Infrastructure, and Security). Runway is searching for leaders who enjoy the build - hiring top-performing AEs and frontline leaders to grow your teams for scale. You’re a leader-of-leaders who lead hybrid revenue pods of AEs + Engagement managers. We expect you to think like a CRO - every pod is effectively a P&L, expansion is as much your number as new logos, and any customer who signs needs to see value through consumption of the Runway platform. If you have only ever inherited a running enterprise org, this is not the right fit. If you have built one, we'd like to talk. WHAT YOU'LL DO - Build and lead an Enterprise segment of 3-4 frontline sales managers; each with 3-5 revenue pods beneath them with operating Enterprise Account Executives and Engagement Managers in each pod. At scale, this role leads 25 - 40 GTM teammates - Own the segment's new ACV and NRR targets - both numbers, one owner, reviewed weekly with the CRO - Engage personally with C-level executives on accounts, building business cases and navigating procurement, security review, legal through to production deployment - Run the operating rhythm: forecasting to +/-5%, deal inspection, pipeline generation discipline, and account planning across a long-cycle book - Ensure that each of your leaders engages their revenue pods (AE + Engagement manager) to drive license consumption and value output. The more we invest in our customer’s adoption, the more everyone wins. WHAT YOU'LL NEED - 12+ years of enterprise software sales with 5+ years leading enterprise sales organizations with experience as a second-line leader - A validated record of building - you have grown an enterprise segment past 25 sellers and beaten the number while doing it - Personal history of closing and sponsoring $250k-$1M+ ACV deals with $1B+ revenue companies - Experience running consumption or usage-based revenue models, where expansion is earned through customer value - Fluency with modern AI - you use these tools daily, operate your team with them to drive productivity, you can demo Runway credibly to a CMO or CTO, and you have a defensible point of view on where generative media is going - Deep understanding of MEDDPICC and Command of the Message to reinforce value-orientation and deal progression with your teams - A record of exceeding quota year-over-year STRONG CANDIDATES MAY ALSO HAVE - Experience selling API and AI infrastructure solutions to CTO / CIOs - Sold creative, media, or content technology to Fortune 500 marketing and studio organizations - Built vertical pod or team structures with shared new ACV + NRR%/Renewal ownership - Scaled a GTM org through the $100M to $500M+ revenue stage COMPENSATION OTE $400K - 475K (60/40 base to variable). Offers equity. 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

Location: San Francisco; New York City Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious. ABOUT THE ROLE Perplexity is building the AI platform for professional legal work: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the case law, statutes, filings, contracts, and internal documents that legal professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured legal data. At the center of this is our Applied AI / Forward Deployed motion: we work closely with law firms and in-house legal teams to distill their core legal processes and embed them into bespoke solutions built on our platform. That means sitting with partners, associates, and counsel to understand how they research, review, draft, and advise, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers. As an AI Strategist on our Applied AI team focused on the legal vertical, you are the subject matter expert who makes this real for legal professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining what to build, demonstrating frontier capabilities against real legal workflows, and driving deployments from first conversation through production and expansion. You are part customer owner, part product strategist, part sales engineer—fluent in both the language of the practice group and the language of the platform. RESPONSIBILITIES OWN STRATEGIC LEGAL ENGAGEMENTS - Lead discovery with law firms and in-house legal departments: what matters to the practice, what problems they are solving, and which workflows are worth automating - Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure - Drive deployment and rollout across practice groups and legal departments, with real revenue responsibility alongside Sales BE THE DEMO AND TECHNICAL PROOF ENGINE - Build and deliver compelling, workflow-specific demonstrations: legal research, contract review and analysis, due diligence, drafting, deposition and discovery summarization, regulatory monitoring - Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases - Run pilots and evaluations that hold up to scrutiny from skeptical partners and general counsel BRING DOMAIN JUDGMENT TO THE PRODUCT - Translate how practice groups, legal departments, and legal ops teams actually work into product, connector, and data-partnership priorities - Assess whether we have the right research, contract, docket, and document-management integrations to serve each legal segment—and drive the roadmap where we do not - Codify repeatable engagement patterns: discovery templates, practice-specific reference workflows, demo libraries, and deployment playbooks OPERATE AS THE COMMERCIAL LEAD - Own senior relationships with partners, general counsel, and legal-innovation leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close - Create urgency, write crisp follow-ups, and know when to push and when to wait QUALIFICATIONS - 3+ years of direct experience practicing law at a leading firm or in-house—litigation, transactional, or regulatory—or in legal ops / legal innovation with deep workflow exposure; you have run diligence, drafted and negotiated agreements, and lived the workflows you will now automate - 5+ years of total experience spanning legal and some combination of technical GTM, sales engineering, solutions architecture, AI product strategy, or applied AI with customer exposure - Deep fluency in legal workflows: research, contract review, diligence, drafting, discovery, regulatory analysis, and matter management - Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested - Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics - Strong commercial instincts and comfort operating with partners, general counsel, CIOs, and heads of innovation - Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives - High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists NICE-TO-HAVES - JD and bar admission - Hands-on experience building with agentic systems, tool-use workflows, MCP, or LLM APIs - Working knowledge of legal technology platforms: Westlaw, LexisNexis, iManage, NetDocuments, Relativity, Ironclad, or similar - Experience selling or deploying technology into law firms or regulated enterprises, including outside-counsel guidelines, privilege, and security review - Founder or early-startup operating experience - Strong network across AmLaw 100 firms and Fortune 500 legal departments If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.

Location: San Francisco; New York City Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious. ABOUT THE ROLE Perplexity is building the AI platform for professional legal work: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the case law, statutes, filings, contracts, and internal documents that legal professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured legal data. At the center of this is our Applied AI / Forward Deployed motion: we work closely with law firms and in-house legal teams to distill their core legal processes and embed them into bespoke solutions built on our platform. That means sitting with partners, associates, and counsel to understand how they research, review, draft, and advise, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers. As an AI Strategist on our Applied AI team focused on the legal vertical, you are the subject matter expert who makes this real for legal professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining what to build, demonstrating frontier capabilities against real legal workflows, and driving deployments from first conversation through production and expansion. You are part customer owner, part product strategist, part sales engineer—fluent in both the language of the practice group and the language of the platform. RESPONSIBILITIES OWN STRATEGIC LEGAL ENGAGEMENTS - Lead discovery with law firms and in-house legal departments: what matters to the practice, what problems they are solving, and which workflows are worth automating - Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure - Drive deployment and rollout across practice groups and legal departments, with real revenue responsibility alongside Sales BE THE DEMO AND TECHNICAL PROOF ENGINE - Build and deliver compelling, workflow-specific demonstrations: legal research, contract review and analysis, due diligence, drafting, deposition and discovery summarization, regulatory monitoring - Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases - Run pilots and evaluations that hold up to scrutiny from skeptical partners and general counsel BRING DOMAIN JUDGMENT TO THE PRODUCT - Translate how practice groups, legal departments, and legal ops teams actually work into product, connector, and data-partnership priorities - Assess whether we have the right research, contract, docket, and document-management integrations to serve each legal segment—and drive the roadmap where we do not - Codify repeatable engagement patterns: discovery templates, practice-specific reference workflows, demo libraries, and deployment playbooks OPERATE AS THE COMMERCIAL LEAD - Own senior relationships with partners, general counsel, and legal-innovation leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close - Create urgency, write crisp follow-ups, and know when to push and when to wait QUALIFICATIONS - 3+ years of direct experience practicing law at a leading firm or in-house—litigation, transactional, or regulatory—or in legal ops / legal innovation with deep workflow exposure; you have run diligence, drafted and negotiated agreements, and lived the workflows you will now automate - 5+ years of total experience spanning legal and some combination of technical GTM, sales engineering, solutions architecture, AI product strategy, or applied AI with customer exposure - Deep fluency in legal workflows: research, contract review, diligence, drafting, discovery, regulatory analysis, and matter management - Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested - Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics - Strong commercial instincts and comfort operating with partners, general counsel, CIOs, and heads of innovation - Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives - High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists NICE-TO-HAVES - JD and bar admission - Hands-on experience building with agentic systems, tool-use workflows, MCP, or LLM APIs - Working knowledge of legal technology platforms: Westlaw, LexisNexis, iManage, NetDocuments, Relativity, Ironclad, or similar - Experience selling or deploying technology into law firms or regulated enterprises, including outside-counsel guidelines, privilege, and security review - Founder or early-startup operating experience - Strong network across AmLaw 100 firms and Fortune 500 legal departments If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.

Location: New York City Office Workplace: OnSite COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting.   ROLE DESCRIPTION We’re seeking a Senior Backend Engineer with a passion for systems architecture, data modeling, and large-scale workflow orchestration. In this role, you’ll architect and implement features end-to-end across our backend services and infrastructure, ensuring they deliver direct customer value. You’ll design and optimize data schemas, build resilient backend services, and ensure seamless integration with third-party systems. You’ll lead initiatives in high-volume workflow automation, with a strong focus on building and optimizing scalable data processing and machine learning infrastructure. This includes designing and maintaining complex workflows that leverage ML to drive automation, as well as driving performance optimization efforts to ensure scalability, reliability, and adherence to best practices across all layers of the stack. Collaboration is key—you’ll work closely with sales and customer experience teams to incorporate customer feedback, and with engineering teammates to bring robust solutions to life. We’re looking for someone who embraces a founder’s mindset, thrives on systems-wide thinking, and proactively drives projects from conception to completion. The ideal candidate has experience with backend architecture, event-driven systems, and orchestration frameworks, along with a proven track record of building production-ready systems. You’ll play a key role in shaping the technical foundation of our platform, ensuring reliability, scalability, and adaptability as we expand.   RESPONSIBILITIES - Architect and implement features that drive direct customer value end-to-end across our backend services and infrastructure. - Lead initiatives in high-volume workflow automation, with a strong focus on building and optimizing scalable data processing and machine learning infrastructure. - Design and maintain complex workflows that leverage machine learning to drive automation. - Drive performance optimization efforts, ensuring scalability, reliability, and adherence to best practices across all layers of our stack. - Collaborate with sales and customer success teams to respond to feedback from our customers and prospects. - Embrace a founder’s mindset, proactively driving projects from conception to completion, and contributing significantly to our company’s growth and success.   CANDIDATE QUALIFICATIONS - 5+ years of experience in backend development, with a strong focus on JavaScript and familiarity with TypeScript. - Proven track record of building and maintaining scalable web applications, particularly in high-volume workflow automation and data processing. - Experience with integrating machine learning models into production environments and optimizing data pipelines. - Excellent problem-solving skills and a knack for efficient, clean coding practices. - Outstanding communication skills, capable of articulating complex technical concepts to a diverse audience. - A team player who thrives in collaborative environments and values diverse perspectives. - Prior experience in a startup or fast-paced tech environment is a plus.   WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week - Free lunch! Plus a pantry full of snacks.   BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer-funded 401(k) match - Competitive parental leave

Location: San Francisco, CA; New York, NY Workplace: OnSite 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. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO - Build enterprise-grade AI agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. - Engage with customers: In the role, you will engage with all levels of our customers’ businesses: - Discover and assess their requirements. - Prepare and present demonstrations of Sierra’s agent. - Address and overcome technical challenges in the business process by working with technical counterparts. - Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. - Become trusted advisors and drive strategic technical strategies for our customers. - Shape the product roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. WHAT YOU'LL BRING - 3-5+ years experience in product development of highly technical products. - Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. - Experience crafting and tailoring a message for potential customers, including executives. - Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. - Professional fluency in both Spanish and English. - Degree in a technical or related field, or equivalent professional experience. EVEN BETTER... - AI-related experience (experience with product development for AI agents a plus). - Some coding experience with React, Typescript, and Go. - MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). - Past roles that interface with end customers to influence software development. 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 - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: New York Workplace: OnSite ABOUT ARCA Arca is a wealth management firm built from the ground up with AI. Most people get financial advice that's reactive: an annual check-in, a plan that's a document instead of a living thing, a relationship where you're one of three hundred clients your advisor is trying to remember. We think that's backwards. The kind of service that used to require a team of specialists behind you, the kind that makes you feel like the only person in the room, should be available to far more than the ultra-wealthy. So we're building it. We're not SaaS — we are the wealth management business, rebuilding it from the inside with AI. Our platform is an Iron Man suit for advisors: it takes over the low-leverage work so they can focus on what actually requires a human, showing up with empathy, context, and judgment. Underneath, it keeps a living understanding of each client. It remembers the thing you mentioned once, six months ago. It notices when your life changes — a new job, a new kid, a market shift — and adjusts before you think to ask. You won't see the technology. You'll just notice your advisor seems to know you better than any financial professional ever has. That's the product we're growing: client by client, on the strength of the experience itself. We started by acquiring firms managing over $1B in client assets, which gave us real advisors, real clients, and real financial outcomes to build against from day one. But acquisition was the starting line. The bet is that an advisor backed by this platform delivers something good enough that clients come to us on their own. It's a $20T market, and we think it's ready to be rebuilt. — Rron, CEO THE RECEIPTS - Stage: Series A, $64M raised - Backed by: General Catalyst, Index Ventures, Venrock - Board & Advisors: Former CEO of Vanguard, Former CFO of Schwab, Founder of Altruist, Morgan Housel (author of The Psychology of Money) THE TEAM We’re small on purpose and engineering heavy: about 80% of the team is technical. We’re based in NYC and hail from high growth startups like Stripe, Ramp, Rippling, Plaid, Doordash, & Glean. We’re fully in-office in Flatiron, five days a week—lunch together, coffee breaks, basketball games, happy hours. THE ROLE As a Member of Technical Staff focused on Platform, you'll own the foundation everything else runs on. The infrastructure, backend systems, and developer experience that let a small engineering team ship agents into a regulated, high-stakes domain without slowing down. One framing we keep coming back to: agents are the primary users of our system of record, and they operate at scale, across every client, all the time. That puts unusual demands on the platform underneath — reliability, cost, and performance aren't afterthoughts, they're the product. If you build it, you own it. WHAT YOU'LL BUILD (AND OWN) - Core infrastructure and backend systems. The services, data stores, and APIs that everything else is built on—designed for a workload where non-human agents are the heaviest, most constant users. This is what lets the rest of the team move fast without the ground shifting under them. - Safe execution for agents. The sandbox where agents write and run code and take real actions, plus the controls that let them reach our backend and databases without doing damage—versioned SDKs, scoped permissions, rate limits, isolation. - Developer experience and internal efficiency. The build, test, deploy, and observability tooling that determines how fast a small engineering team can ship. In a team this small, the leverage of good internal tooling is enormous: every hour you save the team compounds across every acquisition we take on. - Performance and cost. The systems that keep agents fast and correct under real load, and keep our infrastructure spend sane as we scale across four or five acquisitions this year. An agent that's slow, flaky, or ruinously expensive to run isn't shippable. EXAMPLE PROBLEMS YOU'D WORK ON These aren't hypothetical; we're actively working on versions of all of these. - A sandbox where agents can safely write and run code. Our agents don't just call APIs—they write and execute code and take real actions. You'll build the sandbox that makes this safe: how we deploy it, how we version the SDKs agents write against, and how we give agents access to our backend and databases without letting them do damage—rate limits, scoped permissions, isolation. Get this right and agents can do far more, far more safely. - Cloud agents that triage and fix bugs. With a small engineering team shipping into a high-stakes domain, engineering time is our scarcest resource. You'll build agents that live in our infrastructure—triaging incoming bugs, reproducing them, localizing the cause, and proposing or landing fixes—so the team spends its time on problems that actually need a human. Internal leverage that compounds across every acquisition. - Powering the M&A acquisition engine. Growth runs through acquiring RIA firms, and every one arrives with its own stack—a CRM last updated in 2011, a proprietary custodian export, IT systems held together by a decade of habit. You'll build the infrastructure that onboards a new firm and its existing systems onto our platform fast, without a bespoke project every time. The faster and cleaner this gets, the faster we grow. - Querying years of portfolio data at agent speed. Agents need to reason over years of portfolio performance history, and they need it instantly—without hammering the systems that keep the product running. You'll build the read paths, stores, and deep integrations with custodians and performance-reporting providers that let agents query deep history quickly while keeping our backend systems isolated and healthy. - Maturing our backend. The platform is live and proven; now it has to scale across four or five acquisitions this year. You'll level up the foundation—data warehouses, pipelines, and the core systems everything runs on—so it holds up as data volume and agent load grow. THE KIND OF PERSON WHO THRIVES HERE You’re excited by ownership, ambiguity, and building things that matter. - You think in systems and take ownership of the whole stack. You're happiest when you understand how something works end to end, and you instinctively leave infrastructure better instrumented and better understood than you found it. You know "tech debt vs. shipping" is a false tradeoff here—the platform is the thing that lets everyone else ship, so its health is a feature, not a chore. - You're ambitious in a way specific to this work. You're building for people who manage real retirement savings and estate plans. "Good enough" means something different here. You'll rebuild something that works because you know it won't hold through the next acquisition—and that standard motivates you more than shipping faster than last sprint. - You move fast, and you know speed and reliability aren't in tension here. Advisors depend on what you build every day. Breaking prod isn't something you wait until Monday to fix. - You're someone people actually want to be in the room with. This is a small, tight-knit team in one office, five days a week, working on problems that don't have clean answers. The people who thrive here want to argue about architecture at lunch and then build something together in the afternoon. Kind, direct, and low-ego, you can give candid feedback without being an asshole, and you're genuinely energized by this environment (not just tolerant of it). WHY NOW IS THE MOMENT TO JOIN This is a narrow window with unusually high leverage. - We just came out of stealth, and we're growing fast. The team is intentionally small, the equity reflects that, and the ceiling is high. You'd be joining early enough that the work you do now directly shapes what the company becomes and what's possible next. - The advisor-facing product is being defined right now, by a small team that talks to advisors every day. We've just brought on our second firm—the real inflection point, where we start separating what generalizes from what was bespoke. The patterns you set become the foundation for every acquisition that follows. - The consumer product is a blank page. We've never built directly for consumers until now—no legacy, no template. Whoever takes this on defines what the experience even is. - The hard part is behind us, which means the interesting part is starting. The platform is live, the concept is proven, advisors have moved real client assets onto it. The work now is scaling a working system across four or five acquisitions this year—workflows, data, agents, reliability under real load.

Location: Hybrid - San Francisco, New York City, Austin 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 As an Account Executive on the Commercial Install Base team, you will own and grow a portfolio of existing Vercel customers. You will lead the full commercial relationship across your accounts, including account strategy, pipeline generation, expansion, renewal, and retention. You will partner with developers, engineering leaders, product teams, executives, and procurement stakeholders to understand what customers are building and connect Vercel to meaningful technical and business outcomes. This is a strategic hunting role within our existing customer base. You will use product adoption, usage signals, company priorities, and thoughtful account research to develop hypotheses, create new conversations, and uncover expansion opportunities. You will also quarterback the broader Vercel team, bringing together Solutions Engineering, Developer Success, Product, and other partners to remove barriers and drive customer outcomes. Success requires commercial judgment, technical curiosity, disciplined execution, and the ability to create momentum when the path forward is not obvious. What you'll do Own the commercial strategy, retention, and growth of a portfolio of existing Vercel customers. Build account plans that identify customer priorities, key stakeholders, current workloads, risks, whitespace, and expansion opportunities. Generate pipeline through proactive prospecting, multi-threading, product usage signals, and thoughtful account research. Build trusted relationships with developers, engineering leaders, executives, procurement partners, and other key stakeholders. Run end-to-end renewal and expansion cycles, including discovery, qualification, technical evaluation, negotiation, and close. Identify customer risk early and develop clear plans to protect recurring revenue. Connect Vercel’s platform to measurable outcomes such as faster product delivery, improved performance, stronger reliability, increased conversion, and greater developer productivity. Partner with Solutions Architects to understand customer architecture, uncover new workloads, and guide technical evaluations. Mobilize Developer Success, Product, Marketing, and executive resources at the right moments to advance customer outcomes. Maintain accurate forecasts, opportunity plans, renewal timelines, and customer context in Vercel’s systems. Use AI, automation, and repeatable workflows to improve account research, prioritization, and execution. Share successful plays, customer insights, and market feedback to help the team improve. What you need We are looking for a commercially driven Account Executive who combines strong sales fundamentals with technical curiosity and a commitment to customer outcomes. In practice, this looks like someone who: Has a history of achieving revenue targets through pipeline generation, opportunity management, negotiation, and closing. Has experience owning and growing existing customer relationships, including renewals and expansion. Proactively creates pipeline rather than relying primarily on inbound demand. Can develop a point of view on an account and turn thoughtful hypotheses into customer conversations. Builds credibility with technical, executive, and commercial stakeholders. Learns complex products quickly and is curious about how modern web and AI applications are built and scaled. Can translate technical capabilities into clear business value. Is comfortable navigating ambiguity, complex organizations, and multi-stakeholder sales cycles. Demonstrates strong account planning, forecasting, and opportunity management discipline. Uses data, customer signals, and judgment to prioritize time effectively. Is coachable, collaborative, proactive, and team-first. Is resilient and energized by complex commercial problems. Bonus if you Have experience growing existing customers in SaaS, cloud, infrastructure, developer tools, or a product-led growth company. Have sold to developers, engineering leaders, product teams, or other technical buyers. Have led expansions across multiple workloads, teams, or business units. Have worked with customers navigating cloud modernization, AI adoption, or application development. Have experience in a high-growth environment where go-to-market motions were still evolving. Use tools such as Salesforce, Gong, Outreach, LinkedIn Sales Navigator, or ZoomInfo. Use AI, automation, or self-built workflows to improve your effectiveness. Aspire to coach others, own increasingly complex accounts, or grow into leadership. Benefits & Compensation: 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 OTE range for this role is $221,000.00 - $300,000.00. 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. #LI-KQ1 #LI-DNI 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: Vietnam Workplace: Remote Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We are looking for a Customer Success Producer to help game studios maximize revenue through monetization, LiveOps, and direct-to-consumer (DTC) strategies. You will work closely with game teams to analyze performance, identify growth opportunities, and drive initiatives across offers, pricing, experimentation, and player engagement. This role combines analytics, strategy, and execution with a direct impact on customer growth and business results. KEY RESPONSIBILITIES Monetization and Growth Strategy - Analyze game performance, monetization, and retention metrics to identify growth opportunities - Develop recommendations for LiveOps, offers, pricing, promotions, and DTC monetization strategies - Design and evaluate experiments to improve revenue, engagement, and conversion - Assess in-game and web store experiences and propose optimization initiatives Customer Success and Revenue Expansion - Partner with game teams to drive measurable business outcomes and revenue growth - Develop and execute DTC adoption and revenue transition plans - Provide strategic guidance on monetization, LiveOps, CRM, and customer engagement initiatives - Identify expansion opportunities and help customers maximize the value of Aghanim's platform Cross-functional Collaboration - Work closely with Product, Data, Engineering, and Implementation teams to execute customer initiatives - Act as the voice of the customer, ensuring feedback and business needs are reflected in product and operational decisions - Contribute to scalable customer success processes, onboarding frameworks, and best practices REQUIRED QUALIFICATIONS - 5+ years of experience in mobile gaming, F2P, LiveOps, monetization, product analytics, or related roles - Strong understanding of game monetization, retention, LiveOps, and player lifecycle management - Experience using data to drive business decisions and improve commercial performance - Advanced proficiency in SQL and Google Sheets - Strong analytical and statistical reasoning skills - Proven experience using LLMs or GenAI tools in professional workflows - Excellent communication skills and ability to influence stakeholders through data and insights - Based in Vietnam and fluent in Vietnamese PREFERRED QUALIFICATIONS - Experience with DTC commerce, CRM, or customer lifecycle tools - Experience with Python for data analysis and automation WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX | New York, NY | San Francisco, CA About the Role AI inference is becoming core infrastructure. Every serious application will need access to many models, across many providers, with reliability, observability, security, cost control, and routing built in from the start. AI Gateway is Cloudflare’s bet that this layer should exist at the network edge: close to users, close to compute, and simple enough that a developer can adopt it with one API change. We are looking for a Senior Systems Engineer to help build that layer. This is a deeply hands-on individual contributor role for someone who can move from a half-formed product idea to a working, production-ready system quickly. You will work across the stack — from distributed systems and high-throughput APIs to developer-facing workflows, dashboards, SDKs, and docs — helping define how developers build and operate AI applications on Cloudflare. You should be excited by the current pace of the AI ecosystem. Provider APIs change weekly, new models appear constantly, and developer expectations are rising just as quickly. AI Gateway needs engineers who can build durable infrastructure in that environment without slowing down. We also believe AI should change how we build software, not just what we build. We dogfood AI Gateway, Workers AI, and Cloudflare’s broader agent stack heavily. You should be comfortable using AI-native tools, agents, harnesses, and automation to improve your own engineering loop — and interested in building the internal tools and context that help a small team ship like a much larger one. Responsibilities Build core AI Gateway systems that handle high-volume inference traffic across providers, models, and Cloudflare’s global network. Design and implement APIs, routing primitives, observability features, controls, and developer workflows that make AI Gateway reliable and easy to adopt. Work across product and infrastructure boundaries with Workers AI, Agents, and the broader Developer Platform organization to make Cloudflare’s AI platform feel like one coherent product. Turn ambiguous product and technical ideas into prototypes, design docs, shipped features, and measurable production improvements. Improve reliability, performance, cost efficiency, and debuggability for latency-sensitive AI workloads. Build the software — and the software that builds the software: agents, tests, harnesses, evaluation loops, operational tools, and internal context that help the team move faster with confidence. Sweat the developer experience. Error messages, SDKs, dashboard flows, docs, examples, and API details all matter. Mentor other engineers through design review, code review, debugging, and technical leadership without needing people-management authority. Bring strong opinions, clear judgment, and a willingness to revise your view when data, users, or production reality prove otherwise. Desirable Skills, Knowledge & Experience 5+ years of experience building and operating production systems, ideally in AI infrastructure, developer platforms, cloud infrastructure, edge/proxy systems, high-scale APIs, or distributed systems. Strong systems engineering fundamentals: networking, APIs, reliability, observability, data modeling, performance, and operational tradeoffs. Experience designing or scaling distributed systems where latency, throughput, availability, and correctness all matter. Ability to work comfortably across the stack, from API design and product surfaces to backend services, queues, storage systems, control planes, or performance-critical code. Strong developer tools taste. You have used and built enough APIs, SDKs, dashboards, CLIs, docs, and internal platforms to know what makes them delightful or painful. Clear technical communication: you can write design docs, explain tradeoffs, review architecture, and align engineers and product partners around a practical path forward. A builder’s bias toward working software. You can prototype quickly, ship incrementally, and improve systems while they are already in production. Operational judgment. You understand that at Cloudflare scale, rare bugs are not rare for long, and you build systems that are observable, resilient, and recoverable. Comfort using AI-native development workflows and curiosity about how agents, tools, and automation can improve engineering productivity. Bonus Points Experience building AI/ML infrastructure, inference platforms, model gateways, LLM-powered applications, or provider abstraction layers. Experience building developer-facing APIs, SDKs, CLIs, dashboards, or platform products at scale. Hands-on experience with proxy, edge, gateway, routing, or traffic management systems. Familiarity with the current AI ecosystem: model providers, model capabilities, agent frameworks, inference patterns, and the rough edges developers hit in practice. Experience with cost controls, rate limits, caching, retries, fallbacks, evaluation, or observability for AI workloads. Experience with TypeScript, Go, Rust, or similar systems/backend languages. You have built or heavily customized your own agentic development environment: custom agents, harnesses, tools, or workflows that changed how you ship. You have built something with AI Gateway, Workers AI, or a competing product, and have opinions about what is missing. A track record of writing publicly about developer tools, infrastructure, systems, or AI products you have built. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $194,000 - $266,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote (U.S.) Workplace: Remote The Company: Outschool’s mission is to inspire kids to love learning. In our fast-changing world, the traditional educational system struggles to meet the diverse and evolving needs of young learners. Outschool reimagines this system, offering flexible and engaging learning experiences as a supplement and alternative to traditional education. By connecting learners with a global community of teachers and peers through our online platform, we make learning personal, dynamic, and deeply human. We've made significant strides since launching our marketplace of live online classes in 2017. Finding initial success with secular homeschoolers, we then expanded to enrichment learning to meet the needs of a wider audience, growing our business 16x since 2019. Post-pandemic, we have evolved our platform to power academic learning, incorporated AI, and have begun to grow our international community. We're proud to have served over 1.5M passionate learners with more than $100M in annual bookings. Driving disruptive, positive change in education is rewarding and hard. Outschool team members are encouraged to challenge themselves, take risks, and grow in their careers. We look for talented people whose sense of urgency, innate curiosity, and determination to drive impact will help Outschool achieve outsized results in pursuit of our mission. We invite you to be part of an ambitious team dedicated to ensuring every learner can navigate the future with curiosity, resilience, and a love of learning. The Role Outschool is expanding the ways families can access and use education funding to support their children's learning. We're looking for a Public Funding Operations Manager to ensure the systems, processes, and partner relationships supporting these programs work reliably and efficiently as our business grows. This hands-on role will initially focus on Education Savings Accounts (ESAs), with opportunities to expand into the Federal Scholarship Tax Credit (FSTC), scholarship-granting organizations (SGOs), and other state and federal education funding programs. You'll serve as the primary day-to-day operational contact for funding partners, including ESA wallet providers, scholarship-granting organizations, and program administrators. You'll manage the processes supporting transactions, payments, reimbursements, refunds, and reconciliations while coordinating with Product and Engineering to maintain reliable partner integrations. You'll work closely with our Public Funding Strategy Director and Business Development leadership to support new funding opportunities, operationalize partnerships, and ensure new programs are ready to launch and scale. You'll also collaborate with Finance, Customer Experience, Legal, and Compliance to resolve issues, improve workflows, and deliver a seamless experience for families. We're looking for a hands-on problem solver who combines operational rigor, technical aptitude, attention to detail, and strong partner relationship skills. You'll be someone who takes ownership of problems, anticipates issues, and continuously looks for ways to make operations more reliable and efficient. Core Responsibilities: - Manage funding partner operations: Serve as the primary operational contact for ESA wallet providers, scholarship organizations, state program administrators, and other funding partners. Maintain strong working relationships, coordinate day-to-day activities, and resolve operational issues. - Support partner onboarding and launches: Work with Business Development and Strategy to coordinate the operational onboarding and activation of new funding partners and programs, ensuring requirements, workflows, and systems are ready. - Manage transactions and reimbursements: Oversee operational processes for purchases, payments, reimbursements, refunds, cancellations, and reconciliations. Work with Finance and Customer Experience to investigate and resolve discrepancies and exceptions. - Maintain partner integrations: Coordinate with Product and Engineering to support reliable integrations with wallet providers and funding platforms, troubleshoot technical issues, and help test and implement system improvements. - Improve operational processes: Identify opportunities to streamline workflows, reduce manual effort, improve accuracy, and scale operations through automation and better tools. - Ensure operational readiness and compliance: Work with Legal, Compliance, Finance, and Operations to implement partner and program requirements, maintain documented procedures, and support ongoing participation in funding programs. - Coordinate cross-functional issue resolution: Proactively identify operational risks and work with internal teams and external partners to resolve issues before they materially affect families or program performance. - Monitor operational performance: Track transaction success rates, refund processing times, reconciliation accuracy, integration reliability, and partner issue resolution. Use performance data to identify recurring problems and drive improvements. Desired Experience & Skills: - Experience in operations, partner operations, payments operations, financial operations, or related roles. - Demonstrated ability to manage complex operational workflows, troubleshoot issues, and improve processes. - Experience working directly with external partners, vendors, or platform providers on day-to-day operational matters. - Comfort working with technical systems, integrations, transaction data, and operational reporting. - Strong organizational skills, attention to detail, and the ability to independently manage competing priorities. - Ability to collaborate effectively with Product, Engineering, Finance, Customer Experience, and other functional teams. - Strong communication skills and a practical, service-oriented approach to partner relationships and problem-solving. - Experience improving operational efficiency through process optimization, automation, or technology. Other Considerations: - Familiarity with ESA programs, education funding, scholarship organizations, or wallet providers. - Experience with payment processing, reimbursements, refunds, financial reconciliations, or transaction operations. - Experience supporting third-party platform integrations or API-based workflows. - Experience in online marketplaces, fintech, edtech, or technology-enabled services businesses. - Familiarity with workflow automation and AI-enabled operational tools. - Previous experience in startups or high-growth companies. Compensation: Outschool recruits across the US and Canada, and sets employee salaries to reflect local compensation and cost of living. In addition to base compensation, this role is eligible for equity and benefits. Additional details are provided during the interview process. This role is available in the following US Pay Zones: US Tiers US Tier 1: San Francisco Bay Area, New York City, and Seattle Metro US Tier 2: All California excluding San Francisco Bay Area, Boston Metro, Chicago Metro, Denver Metro, Austin Metro, Portland Metro US Tier 3: All other cities and states US Pay Zones US Tier 1: This position is not available in this pay zone US Tier 2: $130,760 - $145,000 US Tier 3: $124,200 - $138,000 Benefits & Culture: At Outschool, we believe that taking care of one another enables us to do our best work. To us that means: - Shared Financial Success: Competitive salaries, stock options, and retirement plans. - Health: Comprehensive medical, dental, vision, disability, and life insurance. - Wellness: Annual wellness stipend, access to coaching & therapy, and pet wellness plans. - PTO & Family Benefits: Generous PTO and family leave policies. - Hybrid & Remote-Friendly: Outschool has a distributed team across the U.S. and Canada and an office in San Francisco. Bay Area-based employees work in the office part of the week and receive commute-related benefits. Team members outside the Bay Area remain fully remote, with support for expensable home office setup and internet to stay connected no matter where you are. - Lifelong Learners: Annual budgets for professional development and DEI learning; budgets for children to take Outschool classes. - Community Impact: Outschool matches employee donations to eligible charities and supports Outschool.org http://Outschool.org’s nonprofit programs. Outschool is an equal opportunity employer. We view diversity as a moral imperative and competitive advantage. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We plan and structure our interviews to directly assess skills and experience. If you require a reasonable accommodation to participate in the job application or interview process, please contact recruiting@outschool.com.   Benefits packages are included for full-time employees only. Please note benefits and perks may vary for employees based outside of the US and Canada.   Full-time employees must be a citizen or legal residents of the U.S. or Canada and reside in U.S. or Canada, unless specifically indicated otherwise.   Once you submit your application, Outschool will process your personal data to evaluate your candidacy for employment. Unless specifically indicated otherwise, we hire employees only in the U.S. and Canada. Applicants else where should be aware that we may discard your application upon submission or we may ask if you would like us to retain it later should there be consideration (this is not typical at all). If you are selected for interviewing, your data will be shared with interviewers and personnel involved in that process. If not hired, your application will be retained for one year in case there is another suitable role. You may opt out of this at any time. Please see our Employee/Applicant Privacy Notice https://outschool.com/pages/privacy-Emp for more detailed information. If applicable, as you progress through the process, we will be clear about what information is being asked for and what happens with that information.

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 the role Anthropic's Enterprise AI Products team builds what makes Claude a daily-use tool for enterprise customers across industries. We focus on organizational context and workflows (plugins, skills, connectors, webhook-triggered processes / agents). In other words, we focus on products that form the connective tissue that lets Claude operate across an organization. A big part of this work is understanding what's blocking adoption and building the capabilities that close those gaps. Much of this is being built 0→1 right now: you'll be shaping the product and the architecture in a market where no one has done this well yet. You'll be a technical leader who thinks holistically about the end-to-end customer experience, partners directly with research to push model capabilities into production, and carries real ownership over what we ship next. What you'll do Own technical design and delivery for enterprise-facing core products, end-to-end across the stack Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec Set technical direction and standards for your team: architecture, code quality, and how the team builds Work directly with enterprise customers and sales during key conversations, translating what you learn into engineering priorities Work closely with research to make the models better in your domain: shaping evals, surfacing failure modes, and feeding customer learnings back into model development Mentor other engineers and raise the technical bar across the team, working with influence rather than authority Build multi-player, asynchronous agents: department-level processes that are goal-oriented, many-step, and triggered by a webhook, a form, or an email rather than a person typing You may be a good fit if you Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Have led the design and delivery of complex enterprise or B2B products across the full stack Have built AI products and know what it takes to turn model capabilities into applications people actually use Are comfortable working directly with enterprise customers and translating what you learn into technical decisions Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have Experience working with research to improve domain-specific model capabilities, including evaluation frameworks Experience building extensibility surfaces (plugins, integrations, agent tooling) that third parties or internal teams build on Exposure to both product-led growth and direct enterprise sales 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: $405,000 — $485,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.