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Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It's hard to believe that it's 2026 and paying rent on time is expensive, inflexible, and difficult. We're here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team? About Our Opportunity Flex exists to make paying rent work the way real life actually works — smoothing out cash flow, helping renters avoid late fees, and letting them build credit instead of falling behind. As a Senior Staff Software Engineer, you'll oversee the technical roadmap for the team, working across APIs, SDKs, and Web experiences. You will work with teams across the organization including Engineering, Product, Design, Infrastructure, Sales, Partner and Customer Success to ensure that the technical strategy meets our goals. We expect you to be hands-on and execute work as an individual, and build products that allow for flexibility as we evolve our product offerings. About Our Team! We have some really exciting teams who are looking for an amazing engineer like you! Check them out! Partner Integrations - Partner integrations work to standardize APIs, tools, and processes that let external partners connect to Flex for data sharing and payments across entry points like Flex Anywhere Who thrives here? A Doer — you get things done efficiently, and you're comfortable rolling up your sleeves when something's blocking the team. An Owner — you take full accountability for what you build, from design through production, and you always have a plan B. Someone Collaborative — you bring people together to pressure-test ideas rather than working in a silo. Someone with Precision — your code and your communication are both clear, because ideas only matter once others can act on them. Someone Resilient — systems break and priorities shift, and you adapt without losing momentum. Someone Humble — you care more about getting to the right answer than being the one who's right. Qualifications: Bachelor or above degree in Computer Science or a related field Minimum of 10 years experience in software engineering, with at least 3 years of technical leadership experience in a hands-on capacity Ability to work on a globally-distributed team with a high degree of ownership Experience leading the delivery of multiple highly impactful products end to end, on time with a high quality bar Experience working with technical and non-technical stakeholders, successfully aligning and setting expectations on scope and delivery Ability to drive yourself and your team to bring quality and consistency to their code and architecture, without compromising velocity Ability to grow in a fast-paced and dynamic environment that will challenge you to always bring your best Experience in designing and developing solutions that maximize ROI and lead to significant business impact Experience working in FinTech and familiar with major payment rails Experience working with Sales stakeholders and/or building products for Sales professionals Experience building integrations with external partners & managing relationships with external stakeholders Experience working on AWS cloud based applications Compensation Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area. The successful candidate's starting pay will be commensurate with their experience, qualifications, and Flex's internal leveling guidelines and benchmarks. Tier 1 (NYC/Bay Area, Los Angeles, Seattle) $240,000—$300,000 USD Tier 2 (Austin, Washington D.C. Philadelphia, San Diego, Chicago, Atlanta) $216,000—$270,000 USD Tier 3 (Salt Lake City, all other USA cities) $204,000—$255,000 USD Life at Flex We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits For full-time U.S. employees we offer: Competitive medical, dental, and vision Company equity 401(k) plan with company match Unlimited paid time off + 13 company paid holidays Parental leave Free Flex subscription For full-time non-U.S. employees, we offer: Competitive compensation + company equity Unlimited PTO

About the role NetBox Labs is growing fast, and our Customer Success team is growing with us. We're hiring our first Manager, Customer Success for the Americas to lead, coach, and grow our CSM team. You'll start with three CSMs covering North America and LATAM, and help drive the plan for and execution of growth. This starts as a player-coach leadership role, growing with the team to focus on people and practice. You'll set the direction for how our CSMs run their books, turn good CSMs into great ones, and build the playbooks that let the team scale. Renewals and retention are owned by our Renewals team; your focus is adoption, value realization, customer health, and expansion signals. You'll report to the Head of Customer Success & Support and partner closely with Renewals, Sales, Support, Solutions Engineering and Product. What you'll own Lead and develop the team Manage and coach the CSMs through weekly 1:1s, account reviews, and call shadowing Build individual growth plans that help each CSM grow into the next level of the role Run a regular call-review and feedback practice, including scoring onboarding kickoffs against our CSM rubric Hire, onboard, and ramp new CSMs as the team grows. Set direction for how we run the book Define what great looks like for a CSM: cadences, success plans, QBRs/EBRs, and escalation paths Balance books across territories and segments so each CSM has a workload they can win with Own the CSM playbooks for strategic accounts and help shape our digital-led motion for smaller accounts Drive customer outcomes Hold the team accountable for adoption, usage against entitlement, and customer health across the book Spot risk early and work with Renewals so no renewal is a surprise Partner with Sales on usage and product expansion, including CSM-sourced opportunities Step into key customer relationships and escalations when it matters Make the team better at the job Use our CS dashboards and platforms to guide where the team spends its time Bring the customer voice to Product through clear, prioritized feedback Improve how the team uses key platforms (HubSpot and Pylon) and ensure we keep account data clean What success looks like In your first year, you will: Build a fully ramped Americas CSM team Give every CSM a growth plan they own and see them grow against it Ship the CSM playbook and make it how the team works day to day Improve adoption and customer health across the book Turn CSMs into a steady source of expansion pipeline with Sales Develop at least one CSM into a bigger book or a senior role Who you are 5+ years in Customer Success at a B2B SaaS company, with 2+ years managing or formally leading CSMs A track record of coaching CSMs to grow, with examples of people you've promoted or developed into bigger roles Hands-on experience running a book of mid-market and enterprise accounts, including exec-level relationships Comfort with a technical product and technical buyers; you can hold your own with network and infrastructure engineers Experience building playbooks, cadences, and metrics from scratch at a growing company Strong judgment with data: you use health, usage, and support signals to decide where the team spends time Clear, direct written and verbal communication in a fully remote team Based in the Americas, able to work across North American time zones Experience with SaaS companies focused on network automation, or infrastructure / DevOps tooling Nice to have Exposure to NetBox Background with open-source or product-led companies where community and commercial motions overlap Familiarity with HubSpot and Pylon (or similar CRM, CS, and support platforms) Experience supporting LATAM customers; Spanish or Portuguese a plus Experience designing digital-led or scaled CS programs alongside high-touch coverage About NetBox Labs: NetBox Labs helps companies build and manage complex networks. We help customers accelerate network automation by delivering open, composable products and supporting the network automation community. NetBox Labs is the commercial steward of open source NetBox, the world's most popular network source of truth, and Orb, the next-generation open source network observability platform. Our products include NetBox Enterprise, a fully supported self-managed NetBox with advanced features, and NetBox Cloud, a secure, scalable, and reliable SaaS edition of NetBox. NetBox powers thousands of companies, and NetBox Labs is backed by investment from Notable Capital (formerly GGV), Grafana Labs CEO Raj Dutt, Flybridge, IBM, Salesforce Ventures, and Mango Capital. Our culture and values: We own and solve problems with high attention to detail. Our open source contributors, users, customers & team are all part of our community. When our community wins, we win. We prioritize simplicity and think twice before adding complexity Clear communication helps keep our team aligned and collaborating smoothly. NetBox Labs is proud to be an equal opportunity employer. We believe diverse teams build better software, and we welcome applicants of every race, color, religion, gender identity, sexual orientation, national origin, age, disability, and veteran status. If you need accommodation at any point in the process, just let us know.

A little about us… Fleetio is a modern software platform that helps thousands of organizations worldwide manage their fleet operations. Transportation technology is a hot market, and we're leading the charge with raving fans and new customers signing up every day. We raised $450M in our Series D funding round in March of 2025 and are on an exciting trajectory as a company. Fleetio is also a proud founding member of the Rails Foundation ! More about our team and company: Fleetio overview video: https://www.youtube.com/watch?v=YoXyXTFWbkg Our careers page: https://www.fleetio.com/careers Who you are Reporting to the Director of Mid-Market Sales, you will be an integral part of the sales leadership team. You will provide continuous mentorship for our Mid-Market Account Executives, deliver stellar results backed by accurate forecasting, define and track our KPIs, and spearhead a coaching culture that breeds continuous improvement. You will work closely with other leaders in sales, marketing, business operations, and sales enablement to drive the strategy for this team. Your impact Manage and own the day-to-day comprehensive activity and output of your team - prospecting, funnel management, forecasting, and negotiating Lead a Team of Individual Contributors to accelerate performance by driving key activities each week Align sub-department execution and focus with division-wide goals and objectives Continually review and recommend changes to process and/or strategy to positively impact sub-department performance Motivate and empower the team to take ownership of their territory and exceed objectives through coaching and mentorship Lead sub-department meetings and actively participate in divisional meetings, Sales Kick-offs, etc. Collaborate with divisional peers with the intent to collaborate on achieving top objectives Lead people management efforts for the sub-department - hiring, off-boarding, performance management, compensation, etc. Cultivate and manage a compelling career path that evolves over time with promotional opportunities as well as backfill opportunities to keep the team "right-sized" Your experience 3+ years of experience in a sales leadership role within a B2B SaaS company Proven success managing a team quota of $2M+ Proven consistent track record of exceeding assigned team revenue objectives Proven track record and strategy of scaling outbound sourced ARR Proven track record of coaching and developing team members Intermediate business acumen with a comprehensive understanding of forecasting and budget management Data-driven decision-making skills In-depth sales process expertise and product knowledge Ability to identify and attract top talent Experience in transparent performance management Negotiation skills - both with external prospects and internal stakeholders Inspirational communication skills to motivate your team to top performance Driven front-line manager with the ability to connect with direct reports and inspire performance Trusted by the team, cross-functionally, peer leaders, and senior leadership Benefits Multiple health/dental coverage options (100% coverage for employee, 50% for family) Vision insurance Incentive stock options 401(k) match of 4% PTO - 4 weeks (increases at year two!) 12 company holidays + 2 floating holidays Parental leave - birthing parent (16 weeks paid) non-birthing (4 weeks paid) FSA & HSA options Short and long term disability (short term 100% paid) Community service funds Professional development funds Wellbeing fund - $150 quarterly Business expense stipend - $125 quarterly Mac laptop + new hire equipment stipend Fully stocked kitchen with tons of drinks & snacks (BHM only) Remote working friendly since 2012 #LI-Remote Fleetio provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment. We celebrate diversity and are committed to creating an inclusive environment for all. All employment is decided on the basis of qualifications, merit and business need. This application is not intended to and does not create a contract or offer of employment. Employment with Fleetio is at will. If you have a disability or a special need that requires an accommodation to fill out the online application, please let us know by calling (205) 718-7500.

About Outreach Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few. The Role We are looking for a Director of Applied Science and Engineering to lead the vision, strategy, and execution of Outreach's Knowledge Graph and contextual AI capabilities. This is a senior leadership position for someone who combines deep technical expertise in knowledge representation, graph-based learning, and reasoning systems with the ability to build, inspire, and scale a high-performing team. You will own the end-to-end technical direction of a per-tenant contextual knowledge graph that captures the full complexity of each customer's sales environment: accounts, deals, contacts, rep behaviors, competitive landscape, and the signals buried in calls, emails, and CRM activity. This graph is the reasoning backbone of the platform, powering next-best-action recommendations, deal risk signals, coaching suggestions, competitive intelligence, and agentic AI workflows. In this role, you will set the research agenda, define the architecture, hire and grow the team, and drive measurable business impact through applied science innovation. Technical Vision & Strategy: Define and own the multi-year technical roadmap for Outreach's Knowledge Graph platform, including entity resolution, temporal reasoning, graph-based learning, and contextual inference. Translate business objectives into a coherent applied science strategy that balances research ambition with production delivery. Team Leadership: Build, hire, and lead a team of applied scientists and research engineers. Establish team culture, research rigor, career development frameworks, and a high bar for both scientific quality and production impact. Mentor senior ICs into technical leaders. Knowledge Graph Architecture: Drive the design of per-tenant knowledge graph schemas, ontologies, and data models tailored to the sales execution domain. Own decisions on graph databases, query languages, storage engines, and tenant isolation strategies at scale. Information Extraction at Scale: Oversee pipelines that extract structured knowledge from unstructured conversational and document data (sales calls, emails, CRM notes), including coreference resolution, relation extraction, event detection, and entity linking. Reasoning & Inference Systems: Lead the development of reasoning and inference layers over

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 Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world's largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add. We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas: Scaling and infrastructure. Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online. Velocity. The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform. Inference engine. The software between the accelerator kernels and the routing layer that serves every request. Performance. Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance. This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like. Key responsibilities Own the programs that scale Claude's serving fleet across accelerator and cloud platforms, from early direction through delivery. Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path. Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision. Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps. Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic's central Infrastructure org. Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams. Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion. Own inference readiness for model launches alongside our launch TPMs. Minimum qualifications 7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it. Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking. A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly. A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep. The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers. Strong written communication, including plans, reviews, and executive updates that many teams depend on. Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit. Care about Anthropic's mission and about serving frontier AI safely and reliably. Preferred qualifications Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing. Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform. Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services. Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity. Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work. Familiarity with Kubernetes-based orchestration and job scheduling. Experience working with research teams and turning their needs into infrastructure requirements. Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't. 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: $290,000 — $435,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We're looking for a Recruiter to join our Talent team based in London to own full-cycle recruiting of our G&A functions (Policy, Finance, Legal, People, and related areas). This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You'll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic's values. You'll work in a fast-moving environment where priorities shift, and you'll have real ownership over the roles you run. We're open to candidates whose strength is in G&A recruiting in your application, tell us where your experience is deepest across the functions. Key Responsibilities Own full-cycle recruiting for a portfolio of G&A roles across EMEA—from intake through offer and close Partner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategies Source and engage high-quality active and passive candidates, building diverse and competitive pipelines Run structured, rigorous, and candidate-centric interview processes that uphold Anthropic's hiring bar Manage candidates through the process with clear communication and a great experience at every stage Collaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to close Use data to track pipeline health and share insight that helps hiring managers make good decisions Minimum Qualifications 6+ years of full-cycle recruiting experience in G&A (Policy, Finance, Legal, People) with a focus on Policy hiring Demonstrated ability to recruit in the UK and European market, with familiarity with local talent dynamics and employment norms Track record of strong stakeholder partnership — building trust quickly with hiring managers in fast-moving environments Comfortable operating with ambiguity: willing to flex between functions and contribute to building something new rather than running an established playbook Proven ability to maintain quality under volume pressure — owns pipeline health, not just pipeline size Self-starter who can work with significant autonomy while staying tightly aligned with global strategy Genuine connection to Anthropic's mission and an understanding of why it matters in a recruiting context Preferred Qualifications Experience recruiting at a high-growth technology, AI, or machine learning company Experience recruiting across both G&A and GTM functions Experience hiring across multiple EMEA markets, including the UK and Ireland Familiarity with Greenhouse or similar ATS platforms Additional European language skills relevant to hiring across the region 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: £105,000 — £145,000 GBP Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

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 Developers and enterprises build on Claude through the Claude Platform. Our models are getting exponentially more intelligent, and our APIs and developer tools need to evolve just as quickly so developers can take advantage of that intelligence safely. We're hiring Engineering Managers to lead teams that build these APIs and developer tools. We are shipping APIs and infrastructure for building and running agents in production. These APIs ship alongside SDKs, docs, and tooling that developers (and agents!) utilize in order to build high quality integrations. These abstractions are backed by our identity, verification, and trust platform, which lets us scale access to Claude responsibly. Key responsibilities Lead a team of engineers to ship high quality work quickly, owning planning, prioritization, delivery, and operational health Partner with product to set your team's roadmap, and bring a strong point of view on what developers need Talk to customers directly and turn what you learn into engineering priorities Guide API design and architecture decisions for distributed systems that have to stay reliable as usage grows Work closely with Research, Safeguards, Security, and go-to-market teams to bring new model capabilities to developers safely Recruit, coach, and grow strong engineers Minimum qualifications You have experience managing high-performing software engineering teams shipping developer products, including hiring, coaching, and performance management You're product-minded and customer-oriented. You care about who uses what your team builds, and you've shaped roadmaps alongside product partners You've built and scaled distributed systems in production, and you have the technical depth required to guide architecture and API design You've led teams that ship quickly and hold a high quality bar You collaborate well across functions and can align teams you don't manage You care about Anthropic's mission and about developing AI safely Preferred qualifications Experience building agent infrastructure or products on top of LLMs Experience with identity, verification, access control, or trust and safety systems Deadline to apply:  None. Applications will be reviewed on a rolling basis.  Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.  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. 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.

Background Nash powers the logistics infrastructure behind some of the most recognizable brands in commerce, including Walmart, Urban Outfitters, and 7-Eleven, along with platforms like Shopify and Toast. We are scaling fast, the category is forming around us, and we are building the product marketing function from scratch. We're hiring our first Product Marketing Lead to own positioning, narrative, launches, and the strategic voice of the platform that is becoming foundational to modern commerce. The Role This is the strategic seat where positioning, narrative, customer truth, competitive worldview, and launch craft come together. It is also where the next chapter of Nash's product strategy is shaped. Product marketing can take many different forms in different organizations... It can be a function to spit out whitepapers and datasheets, a megaphone for product management, or… it can be something very different: a force multiplier for the whole organization. We're looking for the latter. You'll report directly to our Chief Growth Officer (whose career has been building and leading marketing, growth, and product organizations at companies like Twilio, Plaid, and Salesforce). You'll work as a peer to our Product Team, and alongside our CEO, our CTO, and a small, senior, fast-moving cross-functional group across product, engineering, sales, and growth. The bar for taste, craft, and strategic thinking on this team is high, and the trajectory for someone strong in this seat is significant. How We Think About PMM The best PMMs sit at the intersection of three rare skills: technical curiosity, business acumen, and creativity. You don't need to be a coder, but you need to understand technical implementation, tradeoffs, and be able to talk to a technical audience credibly enough to know what they'll ask next. You don't need to be a salesperson, but you need to read buying behavior, understand the worldview of the decision-maker, and articulate the value of the problem we're resolving (not the value of our product). You talk in the language of the customer, not the language of our company. You don't need to be a designer or a copywriter, but you need to write narratives with emotional resonance, position with clear differentiation, and find the experiment, the data, or the execution model that actually moves the needle. The skills are hard enough to find in one person. The harder bar is what you do with them. Great PMM teams are not measured on what they did. They are measured on what they got the company to achieve together. They don't ask the org to enable them. They enable the org. They earn strategic influence by inspiring the company with a common vision, and then get the whole company pulling together in the same direction. How We Work: AI-Native, By Default Product marketing at Nash is AI-native and builder-led. We're looking for a PMM who has fundamentally rewired their workflow around AI, not someone who occasionally uses ChatGPT to clean up an email. Someone who reaches for Claude, Claude Code, Claude Cowork, Replit, and whatever ships next week as instinctively as they reach for a Google doc. The reason is straightforward: the speed and surface area of what one product marketer can produce has changed by an order of magnitude in the last eighteen months. Customer interview synthesis, competitive teardowns, narrative iteration, message testing at scale, launch asset production, sales enablement, internal narrative documents: every loop has compressed. We want someone who feels that in their bones and uses it to compound their craft, not replace it. We still deeply value the soul, the originality, the conviction, and the taste that can only come from a real product marketer who has actually sat with hundreds of customers and built a worldview. But we need to pair that with the velocity AI brings, so insight reaches the org and the market while it still matters. In practice this looks like having Claude synthesize forty customer calls into the real patterns (and dampening the lone noisy ones) before you write the narrative, running ten message variants against synthetic personas before you brief the real ones, prototyping a launch landing page in Replit on the same day you finalize the positioning, building a competitive intel system that updates itself, and treating prompt craft, model choice, and tool-chaining as part of your PMM practice. If your reaction to a new AI tool is curiosity and a Saturday afternoon experiment, you'll fit here. If you believe AI will never replace , you probably won't. What You'll Do - Own Nash's positioning and narrative across audiences: enterprise retailers, grocers, pharmacies, restaurants, healthcare, platforms, partners, and the broader category we're shaping - Lead launches end to end, from shaping what gets built and when, through messaging, assets, sales enablement, and post-launch measurement of whether the launch actually moved the business - Be the most authoritative voice on the customer inside Nash. Distill the full breadth of customer signal into the patterns that matter, so Product can build against truth and Sales can sell against reality - Own competitive intelligence: a living worldview on every competitor that matters, refreshed continuously, that a Sales rep can use in a deal at 4pm on a Friday - Build the launch system itself (the cadence, the rituals, the templates, the prompts, the playbooks) so each launch compounds rather than getting reinvented - Partner with Sales as a strategic peer. Be the deepest student of our market, our buyers, and the problems they're actually trying to solve, and the best teacher of it across the org. But also build the system so your knowledge scales without you: living competitive intel, talk tracks grounded in real customer signal, enablement that a rep can pull from at 4pm on a Friday without pinging anyone. The best PMM isn't the one who answers every ping. It's the one who built the system that made most of them unnecessary. - Partner with Product as a peer. Challenge the roadmap with customer signal, shape what we build, not just how we describe it - Equip the org. Pricing, packaging, deal desk, content, web, sales plays: make Nash collectively faster and sharper at every customer touchpoint - Build and grow the PMM function over time as Nash scales Requirements - 8+ years in product marketing or adjacent roles, with shipped work at a high-growth B2B technology company that you can defend in detail (the decisions, the tradeoffs, the outcomes) - Demonstrated ability to operate at the intersection of technical, business, and creative, not just one of the three - Has owned positioning and launches for a complex platform product (infrastructure, fintech, devtools, data, logistics) where the buyer is technical and the stakes are real - Active, daily use of Claude (or equivalent LLM) and AI prototyping tools like Replit as the core of your workflow of how you actually get things done, not just a copy editing tool. - Strong narrative and writing craft. You can hold a worldview in your head and turn it into copy that sticks - Comfortable in the data. Funnel, deal, pipeline, win/loss; happy to sit in a CRM and pull the truth yourself rather than wait for a dashboard - Customer-obsessed. You measure your week by how many real customer conversations you had, not how many decks you produced - Strong opinions, communicated clearly, updated quickly when the evidence changes - Has built or scaled a PMM function before, or is genuinely ready to do so for the first time - Bonus: prior experience in logistics, commerce infrastructure, or B2B platforms with a technical buyer; time spent as a PM or in a customer-facing role earlier in your career; built and shipped your own side project using AI tools - Location: Hybrid remote/in-office, Bay Area preferred, Fully remote considered for right candidate. How to Apply Send us your resume, a portfolio or links to launches and positioning work you've owned, and a short note on the launch or narrative you're most proud of and why. If you'd rather skip the cover letter and send a Loom walking us through a piece of work, or a Replit prototype of the Nash homepage you'd build instead of ours, that is very much encouraged. Want to grab our attention and bypass the Recruiting platform? Record a video introducing yourself at testimonials.nash.ai with code JOIN-NASH - you'll get the benefit of your application instantly notifying us via Slack, and we'll get some much needed testing coverage on our latest PMM-focused claude build:) More about Nash Nash is the platform that powers modern logistics. Commerce has inverted. For decades, customers came to where products and services were. Now products and services come to them, on their terms, in real time. That shift has turned every company into a logistics company, even though almost none of them were built to be one. Couriers, fleets, gig workers, parcel carriers, in-store labor, and increasingly autonomous systems all have to be coordinated in real time, against tighter windows and rising expectations, with hard-fought customer trust on the line. Nash unifies decisioning, execution, and capacity into a single programmable platform. Real-time, AI-native intelligence determines what should happen, operational control executes it, and the platform dynamically orchestrates capacity from any source: a company's own fleets, partners, or the Nash delivery network. Whether a job involves a courier, a gig driver, an internal fleet, a store employee, a technician, or an autonomous vehicle, Nash selects the right resource and manages execution through completion. We power delivery and logistics for some of the most recognizable brands in commerce, including Walmart, Urban Outfitters, 7-Eleven, and Woolworths, alongside platforms like Shopify and Toast. Over the next decade, logistics will become as foundational to commerce as payments, cloud, and connectivity. Nash is the platform that powers it. Nash was founded in 2021 by Mahmoud Ghulman (2x Founder, MIT) and Aziz Alghunaim (2x Founder, 2x YC, Ex-Palantir, MIT) and is backed by Y Combinator, a16z, and other top investors. We are headquartered in San Francisco. What You'll Love About Us ✅ Early-stage, well-funded startup – directly impact the company and grow your career! ✅ Quarterly broader team on-sites to bond with teammates ✅ Competitive compensation and opportunity for equity ✅ Flexible paid time off ✅ Health, dental, and vision insurance for US employees

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are considering candidates in Germany, Sweden, Spain, Ireland and the UK only. The opportunity: Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it. What is the Ingest team? We build and maintain the configuration and deployment tooling that bridges the gap between "I want observability" and "I have observability,". To achieve this the team owns Fleet Management , the Kubernetes Monitoring Helm Chart , and the Instrumentation Hub . Fleet Management is the cloud-based central control plane our customers use to manage hundreds of thousands of Observability Collectors in the wild. The Kubernetes Monitoring Helm Chart is used to effectively deploy Observability Collection in Kubernetes based environments. The Instrumentation Hub seamlessly combines Fleet Management and the Kubernetes Monitoring Helm Chart to achieve a magic 1-command instrumentation experience. What You'll Be Doing: Manage and develop the team of backend and frontend engineers, providing regular feedback and supporting each person's growth through career conversations. This is a remote team, distributed between EMEA and NASA. Collaborate closely with go-to-market to ensure customers and prospects are successful with their Observability collection journey. Work closely with product and engineering leadership to ensure Fleet Management, the Kubernetes Helm Chart, and the Instrumentation Hub fit seamlessly into the end-to-end user experience for Grafana cloud products. Provide guidance throughout the project lifecycle from early ideation through planning, execution and post‑launch guiding the team to deliver high‑quality results consistently. Foster a psychologically safe environment where engineers can learn, experiment and iterate quickly, encouraging innovation and a culture of continuous improvement. Work across team boundaries by contributing to projects outside your team's scope and partnering with other functions to solve customer problems. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What Makes You a Great Fit: Experience in either of these areas is a strong advantage: Observability (especially OpenTelemetry), or building a central control plane that manages fleets of collectors. You will be comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, be it technical or product focused. While you're great with people and adept at managing relationships, you still keep up-to-date with the latest technical trends and shifts in order to maintain and enhance your understanding of the challenges your teams face. Comfortable collaborating across time zones and cultures in a fully remote environment, using clear, empathetic communication to build trust, connection, and psychological safety. Demonstrated ability to manage complexity, align stakeholders, and elevate team performance to deliver meaningful, high-quality results. Deeply customer-focused, consistently grounding decisions and technical choices in user needs and real-world impact. Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, and observability. Comfort with AI-assisted tooling. We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered tools and ideally have practical experience folding them into a team's workflow. Compensation & Rewards: In the UK, the Base compensation range for this role is GBP 103,000 - GBP 129,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market's defined pay range & benefits at the beginning of the process. Why You'll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new 'Grafanistas' to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you've applied to a job, check out our privacy policy .

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. Grafana Labs is looking for a Enterprise Account Executive, Acquisition who will be responsible for prospecting and closing new business across the Florida region. You will identify, nurture and close opportunities with new customers, manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Growth team. Ideally, you come from a technical background and have sold technical products before. Responsibilities Meet and exceed individual quarterly and annual sales goals Outbound prospecting into net-new customers Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, and negotiations) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests Requirements 5+ Years of Experience in Infrastructure Technology Sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies Familiarity with open source technology is a significant advantage You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Bonus Points For: Experience using Salesforce Experience using Command of the Message and MEDD(P)ICC is ideal In the US, the OTE compensation range for this role is $260,000 - $300,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market's defined pay range & benefits at the beginning of the process. Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market's defined pay range & benefits at the beginning of the process. Why You'll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new 'Grafanistas' to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you've applied to a job, check out our privacy policy .

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

Who is Boulevard ? Boulevard provides the first and only client experience platform for appointment-based, self-care businesses. We empower our customers to give their clients more of the magical moments that matter most. Before launching in 2016, our founders spent months interviewing salon managers and working behind front desks to understand their pain points so we could design a modern, user-friendly platform that meets the unique needs of their business. Our roots may be in hair salons, but we are built for the broader self-care industry, including many types of salons, spas, medspa, barbershops, and more. Our technology not only helps our customers survive but thrive. Take a look at how we (and YOU) can make that happen . We have an insatiable curiosity and embrace experimentation. We believe that simple solutions require the most sophistication, and we design each and every detail to maximize potential, power, and impact. Do our values match? Read through our story and what we value the most . Our team values and celebrates our diverse backgrounds. Being open about who we are and what we do allows us to do the best work of our lives. We believe in equal opportunity for all, and you should too. ABOUT THE ROLE The Customer Experience team is responsible for launching, supporting, and strengthening relationships with Boulevard's customers. As the Onboarding Manager for our Small/Medium Business segment, you will lead a team of 8–12 Onboarding Specialists (OSs) responsible for driving fast, consistent, and high-quality activations across our highest-volume customer segment. This role is ideal for a leader who thrives on operational rigor, forecasting discipline, and coaching a team to hit velocity targets at scale. SMB success is defined by speed, standardization, and repeatability — helping customers reach value quickly through a consistent, well-executed process. You'll be accountable for outcomes, not activity: activation velocity, forecast accuracy, and team execution quality. Above all, you'll ensure every customer is positioned to achieve long-term success by balancing implementation speed with solution quality, customer readiness, and adoption. WHAT YOU'LL DO Team Leadership & Development Manage and develop a team of 8–12 OSs through structured 1:1s, Gong-based coaching, and performance reviews. Drive a culture of ownership and accountability — coaching specialists to lead customer timelines firmly rather than passively tracking status. Run structured weekly portfolio reviews covering On Track, At Risk, On Hold/Delayed, Forecasted Out, and Aging accounts, with a defined recovery plan and owner for every at-risk account. Own new hire ramp quality, volume, and velocity, including acting as a buddy/shadow resource for new specialists' early customer assignments. Develop future leaders through mentoring, stretch assignments, succession planning, and career development conversations. Execution & Portfolio Management Own team activation velocity against benchmark targets. Track and enforce efficiency standards across the funnel to eliminate backlog drag. Maintain forecast accuracy and hold specialists accountable for defensible, evidence-based commits. Analyze operational trends to identify root causes impacting activation velocity, forecast accuracy, cancellations, customer delays, and portfolio health. Ensure customers consistently complete implementation milestones and activation readiness standards. Customer Risk Leadership Own customer risk identification, mitigation strategies, and executive escalations to maximize activation success. Operational Excellence & Continuous Improvement Identify systemic bottlenecks across onboarding and recommend scalable process improvements. Use portfolio trends and operational data to influence tooling, playbooks, customer journey improvements, and cross-functional initiatives. Partner with Operations to improve reporting, automation, and onboarding efficiency. Coaching & Quality Score and review Gong calls per the coaching cadence. Deliver documented coaching tied to specific behaviors: driving vs. tracking, handling pushback, timeline control, and escalation discipline. Run team meetings that are portfolio-focused and action-oriented — activation pacing, risk cohort review, backlog recovery, and skill development. Cross-Functional Business Partnership Partner with Sales and Customer Success to ensure clean pre-sale to post-sale handoffs for the SMB segment. Serve as the voice of the SMB customer across Product and Engineering, surfacing friction points from high-volume onboarding patterns. Partner with Revenue Operations and Finance on capacity planning, reporting integrity, and operational efficiency. Identify and champion automation, tooling, and process efficiencies that increase throughput without sacrificing quality. Maintain data hygiene standards across project management and implementation platforms. WHAT YOU'LL BRING 3+ years in SaaS onboarding, implementation, or customer success, with at least 1–2 years leading a team. Demonstrated ability to manage a high-volume portfolio with velocity and forecasting discipline. Strong coaching skills — able to translate call reviews and metrics into specific, actionable behavior change. Comfort operating in a fast-paced, metrics-driven environment where speed and consistency matter. Experience with data hygiene and reporting integrity in CRM tools (Salesforce or similar). Experience with project management or implementation platforms. Ability to hold a team accountable to standards while maintaining a supportive, development-oriented culture. Strong written and verbal communication skills for both customer-facing escalations and internal reporting. BONUS POINTS FOR Experience managing high-volume onboarding motions. Experience with Gong or similar conversation intelligence tools for coaching at scale. Experience within wellness, healthcare, med spa, salon, or service-based industries. Familiarity with GuideCX or related SaaS operational platforms. Six Sigma, PMP, or other process-improvement credentials. SUCCESS IN THIS ROLE In Your First 30 Days Gain a deep understanding of Boulevard's SMB onboarding methodology, tools, and team structure. Complete 1:1s with all direct reports and begin baseline Gong call reviews. Build cross-functional relationships across Sales, Support, Product, and Customer Success. By 90 Days Independently run the weekly portfolio governance cadence with clear ownership on all at-risk/aging accounts. Demonstrate improving forecast accuracy and activation pacing against targets. Establish a consistent coaching rhythm and begin closing identified skill gaps. By 6 Months and Beyond Consistently hit or exceed activation velocity, forecast accuracy, and CSAT benchmarks. Reduce aging backlog and eliminate systemic bottlenecks within your portfolio. Be recognized as a driver of team performance improvement and a trusted escalation point for the SMB segment. KEY PERFORMANCE METRICS Activation velocity Forecast accuracy CSAT Cancellation rate Portfolio health Customer readiness / milestone completion Time to Value Time to First Appointment / Working Session Ramp time for new hires Coaching effectiveness Risk recovery rate Team engagement KEY ATTRIBUTES FOR SUCCESS Execution-oriented with strong operational discipline Comfortable holding a team accountable to firm standards and timelines Data-driven — treats forecasting and portfolio health as core to the job, not overhead Strong coach who ties feedback to specific, observable behaviors Thrives on speed, consistency, and process adherence at scale Proactive communicator who escalates early rather than waiting for problems to surface How we take care of our team Our business is deeply immersed in an industry that's centered around helping people feel their best, so we know that taking care of yourself isn't selfish; it's essential. That's why our culture pairs high standards with genuine care. We don't glorify burnout or wear 'always on' as a badge of honor. Instead, we've created benefits designed to support you inside and outside of work, so you can bring your best self to both. Here's how we support you: Competitive base pay and performance bonus eligibility because you deserve to be rewarded for your impact. Equity participation for all full-time employees because we believe the people helping build Boulevard should share in our long-term success. Comprehensive medical coverage with up to 100% employee premium coverage and 75% dependent coverage to help take care of you and your loved ones. An annual $1,200 HSA employer contribution for eligible plans to help support healthcare costs and future planning. 100% covered dental, vision, life, and disability insurance, ensuring you stay healthy, protected, and ready for whatever life brings. 12 weeks of fully paid U.S. parental leave supporting all new parents equally as they take the time to bond, adjust, and be present when welcoming a new family member. Flexible paid time off, plus 10 U.S. company holidays, where you are encouraged to rest, recharge, and take the time you need, guilt-free. Fully remote with support, including a $200 home office setup allowance and a $50 monthly WFH reimbursement so your workspace is set up for success. $200 quarterly Boulevard Bucks to prioritize your well-being and stay connected to the industry we serve. And other perks like One Medical membership and Employee Assistant Program. To learn how Boulevard collects, uses, and protects personal information related to candidates and employees, please review our Boulevard Employee & Personnel Privacy Notice . Boulevard Labs, Inc. is an Equal Opportunity Employer committed to hiring a diverse workforce and sustaining an inclusive culture. All employment decisions at Boulevard Labs, Inc. are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.