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Location: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: Alpaca is already the infrastructure layer that hundreds of partners build on for execution. Nobody else is both the execution layer and the data layer - and that makes us the natural one-stop shop for brokerage plus market data. We're hiring a Lead Product Manager to own that second half: define and grow Alpaca's market data business as a standalone, revenue-generating product line. We're seeking a Lead Product Manager, Market Data to define and own Alpaca's market data strategy - both as a capability that powers our platform and as a standalone, revenue-generating product line. This role is equal parts strategy and delivery. You'll decide what data we source, how we package and price it, what we build versus buy - and then ship the APIs, feeds, and tooling that partners and internal teams depend on every day. What You'll Walk Into You won't be starting from zero - you'll be owning live problems: Multiple new exchange onboardings in flight, each with its own licensing, entitlement, and redistribution constraints. A pricing and packaging model that needs rethinking as we expand across asset classes and geographies. Partners asking for data we don't serve yet - consolidated feeds, historical datasets, derived analytics - you'll be building those requests against cost and commercial upside. Internal teams (trading, algo routing, compliance, clearing) consuming market data with no product owner ensuring coverage keeps pace. Things You Get To Do Negotiate or inform negotiations on exchange licensing, redistribution rights, and entitlements as Alpaca onboards new exchanges and asset classes - you'll talk to vendors and global venues directly. Assess build-vs-buy for data infrastructure: where do we source from third parties, where do we invest in proprietary collection and normalization, and where do we create derived or value-added data products. Build the commercial model: define pricing and packaging (real-time vs. delayed, depth-of-book tiers, historical datasets, derived analytics) and work with sales to grow market data revenue. Own the competitive position: understand how dedicated market data providers price and differentiate, and identify where Alpaca's bundled brokerage-plus-data model creates a defensible edge. Own the developer experience for market data APIs (REST, WebSocket/SSE, historical endpoints) - coverage, latency, reliability, and documentation that developers actually want to read. Lead partner discovery: understand what data capabilities are table-stakes vs. differentiating for neobrokers, RIAs, hedge funds, and crypto exchanges, and turn that into prioritization. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

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 As a Marketing Analytics Lead at Anthropic, you will own how we measure marketing. You'll build and run a single measurement framework that shows how marketing activity turns into pipeline, revenue, and product usage, and you'll make that framework something marketers and executives actually use to make decisions. As our marketing programs grow across enterprise and product-led motions, your work will determine whether we invest in what works. In this role, you'll own the marketing measurement framework end to end: the metric definitions, the data models behind them, the dashboards that surface them, and the insights they produce. This is a hands-on individual contributor role; data science and data engineering will support you, but you'll do the core work yourself. You'll partner closely with field marketing, partner marketing, campaign marketing, finance, sales strategy, sales development, data science, and data engineering to align on definitions and keep the whole organization working from one view of the funnel. Key responsibilities Own the marketing measurement framework that connects marketing activity to pipeline, revenue, and product usage Set the direction for the framework and extend it to programs it doesn't cover yet Define marketing metrics clearly and get cross-functional teams to agree on definitions early Build and maintain the data models that power marketing reporting Develop dashboards that marketers and executives rely on in their weekly reviews Teach marketers and executives how the metrics work, and keep teaching as the metrics evolve Lead adoption of the framework so that both marketing and executive teams use it as their shared source of truth Partner with finance, sales strategy, and sales development to connect marketing measurement to the broader revenue picture Find and share the insights nobody asked for, turning analysis into recommendations that change what we do Write analytical SQL on large datasets to answer questions about funnel performance and attribution Track framework gaps and data quality issues, and work with data engineering to resolve them Present findings to marketing leadership and executives in clear, decision-ready formats Minimum qualifications Have deep experience with marketing analytics, including lead funnels, attribution to enterprise pipeline, and product usage measurement Have designed metrics from scratch and know what makes a metric trusted and useful Can write analytical SQL on large datasets with confidence Have built data models in tools like dbt and dashboards that many people use daily Are comfortable setting direction without waiting for a plan to be handed to you Can turn vague questions into clear, measurable definitions Work well across functions and know how to get teams aligned on definitions before problems surface Enjoy teaching others how metrics work and helping non-technical audiences build data fluency Finish what you start, from first definition to adopted dashboard Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience building marketing measurement for both enterprise sales-led and product-led growth motions Familiarity with marketing attribution models and their practical tradeoffs Experience presenting metrics and insights directly to executives and shaping how leadership reviews performance A background in data science, analytics engineering, or marketing operations Experience working with CRM and marketing automation data, such as Salesforce and related tooling Experience standing up a measurement practice where one didn't exist before Familiarity with how finance and sales strategy teams think about pipeline and forecasting 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: $255,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We're looking for a Staff Data Scientist, Growth to define and own how Alpaca measures and grows across the entire customer journey—from acquisition and activation to retention and monetization. As the most senior individual contributor for growth data, you'll set the technical direction and the North Star for growth, stand up the experimentation and metrics platform the company builds on, and work through Product, Marketing, Sales, and Engineering to decide what moves the needle. This is a greenfield charter: you'll define the problems worth solving, not just execute a roadmap. This role is ideal for someone who thinks in funnels, loops, and cohorts, loves experimentation and causal inference, and wants meaningful ownership over how data drives growth at a fast-growing, global brokerage-infrastructure company. You'll connect product behavior, marketing spend, and lifecycle engagement into a coherent growth model—and, as we build a more agentic Alpaca, help make growth analytics self-serve for the whole company. What You'll Do Own the growth funnel end-to-end. Analyze acquisition, activation, retention, referral, and monetization across the full user journey; find and size the highest-leverage opportunities to grow the business. Run the growth experimentation engine. Design and execute A/B tests and causal/incrementality studies on onboarding, activation nudges, funding conversion, pricing, lifecycle/CRM campaigns, and referral loops—building the guardrails, metrics, and self-serve tooling that let teams experiment with rigor and velocity. Model growth. Build retention/cohort analyses, churn and LTV models, CAC/payback and unit-economics views, and forecasts of core growth metrics; identify the compounding levers and growth loops worth investing in. Measure what marketing and partnerships actually drive. Use attribution, incrementality testing, and channel/marketing-mix analysis to guide acquisition spend, CAC, and payback. Define the growth metrics that matter. Define and maintain activation, retention, engagement, and monetization metrics and a clear North Star; partner with analytics engineering to build governed, scalable metrics and dashboards teams rely on daily. Embed cross-functionally. Partner closely with Product, Marketing, Sales, Engineering, and Finance to shape strategy and turn insight into roadmap, campaigns, and go-to-market decisions. Turn data into narrative. Create compelling visualizations and narratives to communicate growth insights and recommendations to cross-functional partners and senior leadership. Enable self-serve and agentic analytics. Help operationalize growth analytics—moving ad-hoc requests into intuitive self-serve environments and contributing to text-to-analytics on top of our semantic layer. Mentor and set standards. Mentor other data scientists and analysts, contribute to best practices, and help foster a data-informed growth culture across the organization. What We're Looking For Proven expertise in growth and/or product analytics and data science, with a strong background in statistical analysis and experimentation. Hands-on experience with growth/funnel analytics—acquisition, activation, retention/churn, LTV/CAC, cohort analysis, and lifecycle/CRM analytics. Experience designing and building experimentation tooling and frameworks for trustworthy A/B tests and causal-inference / incrementality analyses. Familiarity with marketing measurement—attribution, incrementality, or marketing-mix modeling—a strong plus. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Utah | Hybrid Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we believe in leveraging cutting-edge technology to empower people and transform HR. We’re actively integrating AI into our solutions and workflows to enhance efficiency and drive innovation. To that end, we’re looking to our existing team members and future hires to share this forward-thinking mindset: individuals who are curious about AI’s potential, eager to learn and adapt, and ready to explore how intelligent tools can elevate their work along with BambooHR’s impact on setting people free to do great work. Join us in reimagining the future of HR! Essential Job Duties BambooHR is rebuilding its Security Operations function around AI. We are not adding AI tooling to an existing SOC - we are redesigning how the work happens, so that automation and AI agents carry the volume and our people carry the judgment. We are looking for a manager to lead that team and own that transformation. You will lead a team spanning detection engineering, threat intelligence and hunting, and incident response. Day to day, you will run a live operation: incidents, detections, hunts, on-call coverage, service-provider relationships, and the operational metrics that leadership works from. Running alongside that operation is the change itself — automating triage and enrichment so analysts stop working queues, building detection content we write, tune and own, and standing up threat intelligence as a program that produces detections and hunt hypotheses rather than reports that have no clear actionable insights. The reason this role exists now is that the surface a security team defends is changing shape. As HR technology becomes more AI-driven and more agentic, autonomous software acts with real authority, machine identities multiply, and attacks accelerate. That surface grows faster than any security team can hire against, which is why we staff for judgment and build automation for volume. This role sits at the center of that decision - and the person in it will spend a meaningful part of their time deciding, in writing, how much authority automated systems are allowed to hold. You will: Supervisory Responsibilities Leads and grows a team of security analysts, detection engineers, and threat intelligence practitioners. Recruits, interviews, hires, onboards and retains technical security talent in a competitive market. Oversees the daily workflow of the team: shift coverage, on-call rotation, incident assignment, and detection backlog priority. Provides constructive and timely performance evaluations, and builds development plans against the skills an AI-native SOC actually requires: detection-as-code, agent supervision, and intelligence tradecraft. Supports career growth and internal mobility across the broader security organization, treating it as a retention strategy rather than a loss. Handles discipline and termination of employees in accordance with company policy. Run the operation Own daily security operations end to end - alert handling, shift coverage, on-call rotation, escalation quality, and detection backlog priority and rule retirement. Serve as incident commander for the majority of security incidents, and partner with the VP of Information Security on the most severe incidents and on executive communication. Manage security service-provider relationships, including service reviews, escalation quality, and tuning direction. Publish a regular operational metrics pack that the team and executive leadership both work from. Automate the volume, not the analyst Build and enforce an automated incident runbook program covering the incident types behind the majority of alert volume. Drive the automation of Tier-1 triage and a growing share of Tier-2 workflows, so routine work resolves without a human touching it and escalations arrive as an assembled case with clear timeline, scope, and blast radius, rather than a raw alert. Redirect reclaimed capacity upward rather than out of the team - into deeper investigation, detection engineering, and threat intelligence. Own the detections Run detection engineering as a product: a prioritized backlog including rules in version control with CI validation, and a full lifecycle of write, test, deploy, measure and retire. Build in-house detection capability against our own security telemetry, so detection content is something we write, tune and can explain to an engineer, an auditor or a customer. Build threat intelligence and hunting into programs Stand up a formal threat intelligence program: approved intelligence requirements, a collection plan mapped to real sources, and a threat model grounded in the risks that actually apply to employee and payroll data. Ensure every finished intelligence product ends in a detection, a hunt hypothesis, or a control change. Run a hypothesis-driven hunting program on a regular cadence, and make intelligence genuinely useful to teams outside the SOC. Build the AI-native SOC Lead the team through the shift from AI-assisted work (where agents draft and humans approve) to delegated work (where agents act inside explicit, written authority boundaries). Protect what stays human - adversary reasoning, incident command when consequences are real, disclosure decisions, and the calls that should not be delegated to a machine. Build detection and response coverage for AI-era threats: prompt injection and tool abuse, autonomous software operating with real authority, and machine identity at scale. Partner across security engineering, product security, identity and access management, and governance and risk on shared platforms, shared threats, and shared audit obligations. What You Need to Get the Job Done 5+ years in security operations, incident response, or detection engineering, including 2+ years directly managing a team of security analysts or detection engineers. Experience running a SOC or detection function at a SaaS or cloud-native company, ideally one with a multi-tenant product and a live compliance calendar (SOC 2 and/or ISO 27001). Hands-on detection engineering credibility. You have personally written, tested, tuned and retired detections, and you are comfortable treating detection content as code in version control with CI validation. Experience owning a managed detection relationship (MDR or MSSP). Direct experience automating SOC workflows through SOAR, runbook automation, or LLM- and agent-based triage and enrichment. You can speak concretely about what was automated, what the false-negative rate was, and how you measured it. Working fluency with modern security data platforms — data lake or lakehouse architectures — and comfort querying telemetry directly rather than only through a vendor console. Incident command experience under real pressure, including executive and cross-functional communication during an active incident. Strong people leadership: hiring, coaching, performance management, and the judgment to lead a technical team through significant change honestly rather than through reassurance. Excellent written communication. This role publishes runbooks, authority boundaries, intelligence requirements, and metrics that executives read. Excellent prioritization, and the ability to say no with a reason. The defended surface grows faster than any team does, and protecting your team from over-commitment is part of the job. Comfort working in an AI-forward environment where agents write and test code, participate in design review, and run triage. Ability to function well in a high-paced and at times stressful environment, including on-call escalation. Bachelor's degree in Computer Science, Information Security, or a related field - or equivalent practical experience. Practical experience is weighted more heavily than the degree. At least five years of related security operations experience required. Physical requirements can include prolonged periods of sitting at a desk and working on a computer. Must be available for on-call escalation and to lead incident response outside standard business hours when incident severity requires it. What Will Make Us REALLY Love You Experience securing AI or agentic systems - prompt injection, tool abuse, and third-party or autonomous code holding execution authority. Prior experience standing up a threat intelligence program from zero: intelligence requirements, collection planning, intel-to-detection pipeline, and adversary emulation. Experience transitioning detection capability in-house from a managed provider. Experience with non-human identity at scale - service accounts, workload identity, machine credentials - and its detection implications. Background in HR, payroll, or fintech SaaS, or other environments where employee data and payment fraud are primary adversary objectives. Experience with cyber resilience practice: backup immutability verification, recovery drills, and recovery-time objectives measured against contractual commitments. Experience building or supervising LLM agents in production, including evaluation, guardrail design, and human-in-the-loop review patterns. Public contribution to the detection engineering or threat intelligence community - detection rules, open-source tooling, conference talks, or published research. Security certifications (GCIA, GCIH, GCFA, GDAT, GCTI, OSCP, CISSP) preferred, not required. What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc , and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer--M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here . Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

Location: Remote Chartbeat Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization. Our mission is to help customers grow valuable media brands with their content. Join our diverse group of focused, hardworking professionals who are passionate about doing work that’s challenging and fun — and who strive to maintain a healthy work/life balance. Chartbeat Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization. The Solutions Consultant becomes an expert in the Tubular platform, demonstrating its value to media companies and brands. Working closely with Sales, Customer Success, Product, Engineering, and Marketing, the role translates prospect needs and KPIs into compelling value propositions, manages demos and trials against clear success criteria, and supports API opportunities. This is an individual contributor role within Solutions Consulting, applying team methodologies and developing expertise at the intersection of data, media and sales. Who We’re Looking For Become a Tubular Social Video platform and customer expert, demonstrating at both a granular and high level the value the software provides to prospects. Strategically craft effective and compelling value propositions that incorporate prospects’ KPIs to advance the buying process. Manage the prospect demo and trial process with assigned sales representatives, ensuring prospects reach clear success criteria and understand the value of the platform. Ask relevant probing questions to validate business issues and frame the Chartbeat solution around identified client needs. Lead the scoping, qualification and estimation of API opportunities in collaboration with Engineering and Sales, ensuring prospects understand integration requirements and timelines; seek senior or manager support where complexity requires it. Partner closely with Sales and Customer Success on active deals and accounts, supporting prospects and clients throughout the buying process and providing clear handoffs of requirements and agreed scope to Customer Success or implementation teams. Collaborate with Marketing and PMM to identify custom collateral and materials that strengthen the sales process and improve conversion. Work with Product and Engineering to channel customer-facing feedback into roadmap decisions and surface technical insights that improve the platform. Track demo and trial-related metrics to optimise the impact of Solutions Consulting on sales processes and contribute practical feedback to team improvements. Apply team methodologies and adopt and iterate on AI-assisted workflows to improve day-to-day work, sharing useful practices with the team. Requirements 2–4 years of experience in a client-facing role at a SaaS, media analytics or data vendor, ideally supporting media companies or brands. Experience in a complex B2B or enterprise sales environment is a strong plus. Strong understanding of the social video and branded content ecosystem, including how YouTube, TikTok and Instagram drive measurable business outcomes for media companies and brands. Ability to independently interpret data, identify trends and build clear narratives from raw numbers; solid understanding of media business models and how content performance data informs editorial and commercial decisions. Ability to communicate Chartbeat’s business value succinctly, work with key stakeholders to prove ROI, and learn the unique business needs of a broad spectrum of companies. Strong listening skills and the ability to translate prospect needs into specific use cases and platform functionality. Basic understanding of APIs and data integrations; confidence discussing technical requirements with technical and non-technical stakeholders. Comfort collaborating with sales personalities and thriving in a fast-paced startup environment. Comfort experimenting with AI tools and adopting and iterating on AI-assisted workflows. Business fluency in English and Spanish is preferred; proficiency in Portuguese is a plus. Demonstrated ability to manage multiple concurrent customer opportunities and structured technical evaluations or proof-of-concept engagements, maintaining clear success criteria, timelines and stakeholder follow-through. Confidence presenting to technical, commercial and executive audiences, adapting communication style and handling questions or objections effectively in live customer settings. Strong written communication skills, including the ability to contribute to RFI/RFP responses, solution documentation and customer technical due-diligence materials. Working knowledge of relevant competitors and adjacent platforms, with the ability to articulate Chartbeat differentiation accurately and constructively Compensation & Benefits Salary range: $90K-$115K Base + variable Comprehensive Health, Dental, and Vision Insurance 401K with company match (100% of the first 3% and 50% of the next 2%) Fully Paid Parental Leave - 18 weeks for birthing parents, 12 weeks for non-birthing parents Phone and internet stipend Wellness, learning, and coworking reimbursements Flexible work hours Unlimited PTO 11 paid holidays and December holiday closure Annual In-Person Event Diversity, Equity, and Inclusion Statement At Chartbeat we strive to create and continually grow as a company where all employees are able to be their authentic selves.  We are committed to recruiting, hiring, and retaining employees from different backgrounds, viewpoints, and experiences. Our strength is our diversity and we are dedicated to continuously reflect upon, and evolve our efforts to maintain  a diverse, equitable and inclusive ecosystem. Equal Opportunity Employment Statement Chartbeat is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. Chartbeat's CCPA disclosure notice can be found here .

Location: Miami, United States About the company Our mission is that “Any financial application can onboard any user, anywhere in the world, in 1 click.” Transak provides onboarding to financial applications through authentication, KYC, risk checks, and fiat on/off ramps. This is a next generation of infrastructure for the next generation of financial applications that are built on blockchain and stablecoin rails. Our API and widget-based solutions are used by top partners like MetaMask, Coinbase, Ledger, and Trust Wallet to enable seamless onboarding of over 10 million users across over 450 active applications. We have raised over $37M from top-tier investors including Consensys, Tether, and Animoca Brands About the Role Transak requires a Product Partnerships Manager to own, deepen, and protect the existing product-level partner relationships that power our on/off-ramp infrastructure. The priority is relationship continuity, integration health, service quality, commercial performance, and partner confidence across Transak’s current partner base. This role centers on partnerships that are already directly tied to our product surface: payment methods and rails, API integrations, banking and PSP relationships, liquidity providers, fraud/risk providers, and ecosystem integrations. The person will manage strategic product partnerships across existing payments, crypto infrastructure, wallets, exchanges, fintechs, banks, PSPs, and ecosystem partners. They must be commercially sharp, technically fluent, operationally disciplined, and able to translate partner issues, capabilities, and roadmap opportunities into clear internal execution plans. This role should not be treated as a generic business development or international expansion hire. It requires hands-on product partnership management: improving the quality of existing partner relationships, running structured account plans, managing escalations, driving integration and performance improvements, protecting revenue continuity, and identifying expansion opportunities within current relationships before sourcing new markets or new partners. Key Responsibilities 1. Product Partnership Management Own day-to-day and senior-level relationships with key product partners globally, with emphasis on the Americas. Manage partnerships tied directly to the product: payment rails, payment methods, APIs, banking integrations, wallets, exchanges, and infrastructure providers. Maintain strong partner confidence through clear communication, responsiveness, and structured follow-through. Build account plans for priority partners, including revenue opportunities, product dependencies, integration health, risks, and executive touchpoints. Run regular partner business reviews tracking product performance: conversion, payment-method coverage, uptime, latency, support SLAs, issues, decisions, and next steps. Escalate relationship and integration risks early and propose practical recovery plans. 2. Existing Partner Growth & Relationship Depth Build structured account plans for priority existing partners, including relationship map, executive sponsor, commercial contribution, product dependencies, integration health, service issues, risks, and growth opportunities. Deepen senior and working-level relationships with current partners through regular business reviews, clear follow-through, and proactive communication. Identify opportunities to expand value within existing relationships: additional payment methods, improved coverage, better conversion, higher approval rates, stronger SLAs, better partner tooling, and co-developed product improvements. Maintain a clear view of each partner’s strategic importance, operational health, commercial performance, renewal or contract considerations, and unresolved blockers. Coordinate internal action plans across Commercial, Product, Engineering, Legal, Compliance, Risk, Operations, and Finance to improve partner outcomes. Treat new market or new partner expansion as secondary unless it directly supports an existing strategic relationship or protects a current revenue-critical capability. 3. Product & Integration Execution Translate partner capabilities and asks into clear product requirements and integration plans. Partner with Product and Engineering on integration priorities, roadmap dependencies, API specifications, and partner-facing timelines. Track integration health post-launch: adoption, conversion, error rates, payment-method performance, and partner-reported issues. Work with Operations, Risk, and Compliance to resolve partner product issues and improve service quality. Keep internal stakeholders aligned through concise updates, decision logs, and action trackers. Ensure partner commitments are realistic, documented, and owned. 4. Commercial Growth & Revenue Ownership Identify growth opportunities with existing and new partners alongside the Revenue team (Sales and Customer Success). Negotiate or support commercial discussions, including pricing, volume commitments, SLAs, integration priorities, and co-marketing opportunities. Track partner performance, revenue impact, conversion, payment-method coverage, operational issues, and market-specific blockers. Work with Finance to build evidence-based business cases for partner and market investments. Balance growth ambition with risk, compliance, and operational readiness. 5. Partner Portfolio Management & Ecosystem Intelligence Maintain a clear portfolio view of existing product partners across wallets, exchanges, fintechs, payment providers, banks, crypto infrastructure firms, risk providers, and local payment-method providers. Segment partners by strategic value, revenue contribution, product dependency, integration complexity, operational risk, executive relationship strength, and growth potential. Prioritize partner work by protecting revenue continuity, improving product performance, reducing operational friction, strengthening strategic relationships, and unlocking near-term value from existing integrations. Represent Transak credibly in partner discussions, QBRs, escalation forums, renewal conversations, industry forums, and market-development conversations. Identify competitive threats, market shifts, partner roadmap changes, and emerging partner needs that could affect existing relationships. Feed partner intelligence into leadership planning, product strategy, commercial planning, and risk management. Must-Haves Mid-career experience: 5-10 years in product partnerships, strategic partnerships, business development, account management, or ecosystem development, with direct product integration ownership. Direct experience in fintech, payments, crypto, wallets, exchanges, banking infrastructure, remittance, PSPs, or related financial services. Hands-on experience with API-based partner integrations and product-dependent partner relationships. Strong relationship management skills with senior external stakeholders. Demonstrated ability to manage complex partner escalations and cross-functional execution. Strong commercial judgement and comfort with revenue and partner-performance metrics. Cross-functional collaboration: experience working across Product, Engineering, Operations, Compliance, Legal, Risk, and Finance. Clear written communication and disciplined follow-through. Nice-to-Haves Existing network across fintech, crypto, payments, wallets, exchanges, PSPs, risk providers, or banking partners, particularly among Transak-relevant partner categories. Experience growing, renewing, repairing, or scaling existing product partnerships across complex payment, banking, risk, or crypto infrastructure relationships. Prior work at an on/off-ramp, crypto exchange, wallet, PSP, acquirer, fintech infrastructure company, neobank, or remittance company. Experience negotiating commercial agreements, pricing, SLAs, or integration commitments. Technical fluency: comfort reading API documentation and discussing integration architecture with Engineering. Spanish and/or Portuguese language ability. Experience with regulated financial services environments. Comfort with data-driven account planning and partner performance reviews.

Задачи: — Анализировать чертежи заказчика и подбирать оборудование под конкретную задачу (материал, толщина, радиус, серийность). — Самостоятельно считать усилие гибки, тоннаж, раскрывать матрицы и рассчитывать пружинение материала. — Выбирать тип станка (гидравлика/серво/гибрид), ЧПУ (Delem/Cybelec), бренды (от Китая до Премиума) и рассчитывать совокупную стоимость владения (TCO). — Вести клиента от первого звонка до пусконаладки, участвовать в тендерах, проверять коммерческие предложения поставщиков на скрытые доплаты. Требования: — Уверенное владение формулами расчета усилия (сталь, нержавейка, алюминий), понимание пружинения и правил выбора матрицы (8×S). — Знание типов оборудования: листогибы, трубогибы (дорн/обкатка), профилегибы (3/4 валка) и вальцы. — Понимание ниши каждого станка. — Знание рынка брендов (Amada, Trumpf, Durma, Baykal, китайские бренды) и их слабых/сильных сторон. — Умение быстро переводить чертеж детали в техническое задание на станок. — Коммерческие навыки: продажа через экспертизу, аргументация цифрами, системное мышление (видеть всю цепочку: чертёж → техпроцесс → станок → оснастка → сервис). Условия: — Официальное трудоустройство. — Готовая база клиентов и входящие лиды с маркетинга. — Обучение продукту и поддержка руководителя отдела продаж. — Реальный доход от 100 000 рублей и выше (без потолка) при выполнении плана.

Location: Dallas, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: The Project Management Office (PMO) Project Manager (Growth, Development, Power) is the PMO's embedded project management partner to the Growth, Development, and Power functions, providing the cross-functional coordination and execution structure required to move sites and related initiatives through the broader organization. Growth, Development, and Power sits at the intersection of numerous internal and external stakeholders. Progress may depend on Pre-Construction, Construction, Operations, Technology, Finance, Finance, Procurement, Legal, Community Relations, Government Relations, consultants, and external agencies. While Growth, Development, and Power leadership and subject matter experts retain ownership of technical and development decisions, the PM ensures that the work surrounding those decisions is coordinated across the business. The role creates visibility into what needs to happen, by whom, and when; identifies downstream impacts and dependencies early; and ensures other departments are engaged before gaps become schedule, resource, or business risks. This allows Growth, Development, and Power leaders to focus on development strategy and technical execution while the PM ensures that cross-functional commitments, dependencies, decisions, and business processes remain aligned and moving forward. What You’ll Do: Partner with Growth, Development, and Power leadership to understand the development pipeline, departmental priorities, upcoming milestones, constraints, and cross-functional requirements. Break complex initiatives into clear workstreams, milestones, tasks, dependencies, owners, and decision points. Maintain portfolio-level visibility into Growth, Development, and Power activities and ensure key initiatives are accurately represented in the PMO project management systems. Identify and manage dependencies between Site Development and Pre-Construction, Construction, Operations, Technology, Finance, Procurement, Legal, Community Relations, Government Relations, and other stakeholders. Engage impacted departments early when Growth, Development, and Power activities have downstream implications for scope, timing, resources, cost, or execution. Establish and facilitate cross-functional meetings needed to resolve dependencies, align plans, make decisions, and maintain progress. Track commitments and action items across departments and ensure accountability for agreed deliverables. Identify emerging risks, constraints, stalled activities, resource conflicts, or unclear ownership and facilitate resolution. Escalate issues to Growth, Development, and Power leadership, the Head of PMO, or broader business leadership when appropriate. Support prioritization and sequencing across sites and initiatives by maintaining visibility into dependencies, capacity, timing, and competing demands. Coordinate with Procurement, Finance, Legal, and other support functions to ensure required business processes are understood, planned for, and initiated at the appropriate stage. Support Growth, Development, and Power leadership with capacity and resourcing discussions by providing visibility into the volume and complexity of current and upcoming work. Improve communication and handoffs between Growth, Development and downstream teams, particularly Pre-Construction and EHS. Provide leadership with clear reporting on progress, upcoming milestones, dependencies, risks, resource constraints, and decisions required. Act as an impartial facilitator when cross-department priorities or expectations are misaligned. Partner with the Head of PMO and other embedded PMO PMs to consistently apply PMO standards, tools, processes, and reporting practices. What We’re Looking For: 3+ years of experience in project or program management in the data center, power infrastructure, industrial development, or related industries. Working knowledge of site development processes sufficient to understand key milestones, dependencies, terminology, and downstream impacts. Basic knowledge of real estate contracts, with a general understanding of common gating items in the closing process. Proficient in leveraging AI tools to manage, streamline, and enhance project workstreams. Demonstrated experience coordinating initiatives across multiple technical and business functions. Strong ability to translate complex or loosely defined initiatives into structured, trackable execution plans. Excellent facilitation and stakeholder-management skills, particularly in environments where accountability spans multiple departments. Ability to identify dependencies, organizational gaps, and risks and proactively bring the appropriate stakeholders together to resolve them. Strong organizational and analytical skills with experience managing multiple concurrent initiatives. Experience with project/work management and collaboration platforms such as Jira, Confluence, or equivalent tools. Strong written and verbal communication skills with the ability to provide concise reporting to department and business leadership. PMP or equivalent certification preferred. What We Offer (US): Competitive base salary and discretionary bonus Flexible Time Off (i.e. unlimited paid vacation days) Company paid Holidays (11) Company paid sick leave Company-paid health and protective benefits for employees, partners, and other dependents 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Ginger Opportunities to learn about the Crypto industry Free daily snacks in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Remote Canada Workplace: Remote InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com http://www.influxdata.com. InfluxData's North America Commercial sales team is growing, and we're looking for a Commercial Account Executive to own a territory end to end. This is a hybrid new business and account management role. You'll hunt new logos across organizations of 1–500 employees in North America, and you'll carry a book of roughly 40 existing accounts that you are responsible for renewing and growing. The best people in this seat are as comfortable running a cold outbound motion as they are sitting with an existing customer six months before renewal, understanding where their usage is headed and what it will take to expand. You are a hunter and a builder. You enjoy creating new relationships and deepening existing ones. You're all about working hard, supporting one another, ideating nonstop, and having a lot of fun while doing it. InfluxDB is a purpose-built time series database used by engineering, platform, DevOps, SRE, and IoT teams to handle high-volume telemetry data. You'll be selling to technical buyers, which means the strongest AEs on this team are curious, consultative, and willing to get into the substance of a customer's architecture and problem. What you’ll be doing: New Business - Owning the full sales cycle for new logos in North America Commercial — prospecting, discovery, scoping, POC, negotiation, and close - Building and sustaining your own pipeline through cold calling, outbound email, LinkedIn, account research, inbound follow-up, and partner activity - Running strong discovery: understanding the technical use case, the business impact, the buying process, the stakeholders, and what success looks like - Understanding the competitive landscape — including open source alternatives — and positioning InfluxData to win - Partnering with Sales Engineering to scope and run technical evaluations and POCs Renewals & Expansions - Owning renewal outcomes across a book of approximately 40 existing accounts, including forecast accuracy on every renewal in your territory - Engaging renewals early — well ahead of the contract date — to understand usage trends, changes in the customer's environment, budget cycle, and stakeholder changes - Identifying and closing expansion: new use cases, new teams and divisions, increased capacity, and upgrades - Building multi-threaded relationships across your accounts so the relationship does not sit with a single champion - Spotting and escalating retention risk early, and working with Customer Success and Support to resolve it before it reaches the renewal conversation - Conducting regular check-ins and business reviews with your accounts to keep value visible Across the Whole Territory - Building trust and credibility, both internally and with prospects and customers, from engineering to executive stakeholders - Keeping opportunity detail, next steps, renewal dates, and forecast accurate in Salesforce - Forecasting and managing your sales activity and pipeline to meet revenue targets and company goals - Meeting or exceeding monthly targets and quarterly quota across both new business and renewal/expansion What we’re looking for: - 1+ years of quota-carrying sales experience selling data solutions, SaaS, PaaS, developer tools, or cloud infrastructure - Experience selling into commercial and mid-market organizations - Experience managing accounts post-close through annual renewal cycles, with responsibility for retention and growth - Demonstrated success running a full sales cycle from self-sourced pipeline through close - Ability to balance hunting and farming — the discipline to keep prospecting while carrying an active book of business - Comfort selling to technical buyers and translating technical capability into business value - Superior written and verbal communication skills, able to talk to all levels at an organization - Demonstrable history of meeting or exceeding quota - Strong prospecting, qualifying, closing, and account management skills - Excellent negotiation skills, including renewal and expansion negotiations - Disciplined pipeline management, CRM hygiene, and forecast accuracy It’s a plus if you have: - Experience selling open source or commercial-open-source products, and competing against free alternatives - Experience with time series data, observability, monitoring, IoT or industrial telemetry, DevOps, or SRE tooling - Experience carrying a combined new business and renewal quota Interview Information: Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage. Our Core Values Our employees are the heart of the company and only by having a core set of beliefs and values will we be successful. We hire and live by these core values: - We value each other - We get stuff done - We believe humility drives learning - We embrace failure - We are committed to open source Visit our careers page https://www.influxdata.com/careers/ to learn more about working at InfluxData. To view our CCPA policies click HERE https://www.influxdata.com/wp-content/uploads/November-2023-InfluxData-Candidate-Privacy-Notice.pdf If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request reasonable accommodations by reaching out to the recruiting team by emailing apply@influxdata.com.  InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place. Beware of job scams and fraudulent offers! Our recruiters use @influxdata.com http://influxdata.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank accounts or social security numbers. If you have been contacted by someone claiming to be from InfluxData from a different domain about a job offer, please report it as potential job fraud to law enforcement and to jobs@influxdata.com.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker's Product-Led Growth (PLG) team owns turning product usage into revenue across the full Platform: the Container business (Docker Desktop, Docker Hub, Docker Build Cloud, Docker Scout) and the AI business (Sandboxes, AI Governance, Model Runner, MCP Toolkit, MCP Catalog). Lifecycle marketing is one of the fastest-scaling parts of that team: it already owns user and admin nurtures, renewal automation, and first-touch outreach for PQLs and inbound leads, running against a marketable base in the tens of millions. As Senior Lifecycle Marketer, you'll report directly to the VP of PLG and partner closely with our existing lifecycle marketing lead. You'll take ownership of assigned products, audiences, and lifecycle stages, with real input into shaping the approach for what you own, not just shipping someone else's plan, and you'll help turn a fast-growing list of priorities into a structured, scalable lifecycle engine. _______________________________________________________________________ WHAT MAKES SOMEONE SUCCESSFUL IN THIS ROLE - Lifecycle Fluency: You think in full user journeys, not campaigns. You've done lifecycle marketing specifically, not just growth or demand gen, and you know how nurture, activation, retention, and renewal connect across a product's full lifecycle. - Builder's Mindset: You'd rather own a program end to end, strategy, build, QA, and send, than hand pieces of it off. You bring structure to ambiguity: turning a fast-growing list of priorities into themes, a build queue, and a sequenced roadmap. - Audience & Signal Validation: You know how to validate an audience and its underlying signal before it ships: spot-checking record-level data, sanity-checking targeting logic, and catching a bad segment before it reaches users. You don't need to write SQL yourself, but you can work directly with data teams to confirm a list is right. - Cross-Functional Operator: You operate well across marketing, sales (BDR and renewals), data, and design/agency partners, and you know how to keep programs moving even when you don't own every dependency. - Marketing Automation Execution: You've personally built campaigns in Marketo or an equivalent platform, not just briefed them: audience builds, suppressions and contact governance, pre-send QA and live proofs, and launch monitoring, including troubleshooting a broken data sync in the moment. - Technical Translation: You can take a technical product or a raw usage signal, a feature adoption event, a usage threshold, a new capability, and turn it into messaging that reads credible to a developer or admin, not generic marketing copy. _______________________________________________________________________ RESPONSIBILITIES - Build the Lifecycle Engine: Own and build lifecycle campaigns (email and in-product messaging) across Docker's Container and AI Platform products, including Sandboxes and AI Governance, for both end users and admins. - Scale Programmatic Sends: Design and run large-scale programmatic sends, such as recurring account health checks, to a base in the tens of millions, working within the team's marketing automation stack (currently Marketo and Mailgun; expect a platform transition in the next 6–12 months). - Automate Lead and Renewal Motions: Stand up and run automated first-touch flows for PQLs and inbound leads, in partnership with BDR and renewals stakeholders. - Validate Audiences & Signals: Partner with data and growth engineering to pull the usage signals campaigns depend on (Snowflake and internal data tools), and validate that an audience and its underlying signal are correct before every send. - Manage Suppressions & Contact Governance: Own suppression lists and contact governance rules so campaigns stay compliant and don't over-message or reach the wrong audience. - QA, Launch Monitoring & Troubleshooting: Run pre-send QA and live proofs on every campaign, monitor launches as they go out, and troubleshoot issues in real time, including broken data syncs. - Translate Signals into Messaging: Turn technical product usage and adoption signals into messaging that reads credible and useful to developers and admins, not generic marketing copy. - Shape and Sequence Strategy: Take a fast-growing list of priorities and turn it into a concrete build queue: itemize the work, sequence it, and flag capacity or dependency issues early. - Coordinate Design & Agency Partners: Work with design and agency partners to keep campaign quality and turnaround on track. - Operationalize Reporting: Own naming, tracking, and reporting on programs so the rest of the team has visibility into what's live, what's next, and what it's driving. _______________________________________________________________________ QUALIFICATIONS - Lifecycle Marketing Experience: A background specifically in lifecycle marketing, not pure growth or demand gen, ideally inside a PLG or self-serve motion. - Proven Program Ownership: A track record of owning campaigns end to end (strategy, build, QA, send) and shipping programs that moved a real metric: activation, retention, or renewal conversion. - Marketing Automation Build Experience: Hands-on build experience in Marketo or an equivalent marketing automation platform: audience builds, program/campaign setup, suppressions and contact governance, pre-send QA and live proofs, and launch monitoring. - Data & Targeting Validation: Comfortable working directly with data teams to validate record-level data and targeting logic, for example auditing who's actually in a segment or spot-checking a list against expectations. Writing SQL yourself is a plus, not a requirement. - Technical-to-Message Translation: A track record of turning a technical product or a raw usage signal into messaging that reads credible to a developer or admin audience, not generic marketing copy. - Technical Familiarity: Comfort navigating developer ecosystems, cloud infrastructure, or complex multi-product software platforms. - Independent Ownership: Senior-level judgment and ownership as an individual contributor: you can run with ambiguity and drive a program without every step spelled out, and you collaborate well with another senior peer on the team. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Immerse & Align: Get up to speed on Docker's PLG motion, product surface area (Container and AI), and the programs lifecycle already owns. Build a working relationship with data, BDR, renewals, and design/agency partners. - Program & Tooling Audit: Audit the current state of user and admin nurtures, renewal automation, and PQL/lead outreach, and get familiar with the Marketo/Mailgun stack and its upcoming transition. - Roadmap Calibration: Work with the lifecycle team to turn the current priority list into themes, a build queue, and a sequenced roadmap. FIRST 90 DAYS - Ship Owned Campaigns: Take ownership of at least one full program, such as an admin nurture flow or a PQL first-touch sequence, from build through send. - Contribute to Renewal Automation: Stand up a first version of automated renewal outreach in partnership with the renewals team. - Build the Reporting Cadence: Put in place naming, tracking, and reporting so the team has clear visibility into what's live and what it's driving. ONE YEAR OUTLOOK - Own a Mature Program Set: Own a mature, scaled set of lifecycle programs across your assigned products, audiences, and lifecycle stages. - Prove Impact: Show measurable lift in activation, retention, or renewal conversion tied directly to your programs. - Scale the Function: Help lifecycle marketing operate as a predictable, automated engine rather than a set of one-off campaigns, as scope keeps expanding across the Platform. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$160,300– CA$229,000 base United States: $115,500 – $165,000 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: United Kingdom; Brazil; Ireland; Romania; Cyprus; Portugal; Lithuania; Czech Republic; Canada; Poland Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We're looking for a Data Analyst, Regulatory Analytics and Reporting to join our team remotely! The #1 goal of this role is to turn complex compliance and regulatory data into clear, actionable insights that protect the business, satisfy regulators, and support senior leadership in making high-stakes decisions. You'll work at the intersection of data engineering, regulatory reporting, and compliance operations in a fast-paced, high-scrutiny environment where accuracy and audit-readiness are non-negotiable. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with deep knowledge of compliance regulations and frameworks. You'll own end-to-end data management from building and maintaining datasets and pipelines to designing dashboards and insights for compliance and leadership teams. You will also automate compliance processes and workflows to boost efficiency and minimize human error. If you combine exceptional data analysis expertise with solid knowledge of compliance regulations, a keen eye for regulatory risk, and the drive to shape the future of crypto with a top-tier brand - this is your next mission!   THE OPPORTUNITY - Own the design of dashboards, compliance metrics, and regulatory reports, turning data into actionable insights for stakeholders, cross-functional partners, and regional compliance officers - Automate end to end compliance related data solutions, governance controls, and automations to boost efficiency and minimize manual intervention - Dive into large, complex datasets to turn findings into scalable, audit-ready data models that facilitate regulatory reporting and analytics - Translate regulatory and business requests into accurate reports and automated data pipelines using Python, SQL, DBT and Airflow - Lead cross-functional projects with analysts, engineers, and compliance teams to build and maintain high-quality data pipelines and sources - Coordinate client data quality monitoring by identifying issues, flagging remediations, and partnering with responsible teams to ensure timely resolution - Support ad-hoc data requests for audits, exams, risk assessments, and day-to-day business needs - Deliver insights that shape compliance direction through clear, data-driven storytelling   WHAT YOU BRING - 5+ years of experience in data analysis and data management within financial services or a regulated industry, with hands-on experience in compliance and regulatory reporting across frameworks such as AML, KYC, Sanctions, MiCA, or MiFID - Solid understanding of regulatory risk and the ability to operate effectively in high-scrutiny, audit-ready environments - Expert SQL skills including complex joins, CTEs, and analytical functions, paired with proficiency in Python libraries such as pandas, matplotlib, and plotly - Hands-on experience using dbt or similar tooling to model and organize high fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of data workflow orchestration - Proficiency with BI and data visualization tools such as QuickSight, Power BI, or Superset to build executive-facing dashboards - Strong communicator who can simplify complex data ideas for both technical and non-technical audiences - Alignment with the values outlined in Kraken's Tentaclements document   NICE TO HAVES - Degree in Mathematics, Statistics, Finance, Information Systems, or a related technical field - Passion for continuous learning and approaching problems with a beginner's mindset - Solid understanding of the cryptocurrency space and how financial markets function Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Задачи: — преподавание в одной из следующих областей: web development (full stack / frontend / backend), кибербезопасность (основы cybersecurity, ethical hacking), ai engineering (Python, machine learning, LLM), web design (UI/UX, Figma). Требования: — опыт и портфолио в выбранной области не менее 1–2 лет; — умение просто и интересно объяснять сложные концепции; — опыт преподавания или наставничества (преимущество); — ответственность и заинтересованность в результатах учеников. Условия: — современная IT-лаборатория, оснащённая новейшими технологиями; — гибкий график работы (подходит и для студентов); — возможность участия в сильной сети профессионалов и других проектах. Местоположение: Yangihayot tumani, TIST здание.

Задачи: — Владение полным циклом доставки проектов для назначенных клиентских мероприятий, начиная с передачи после продажи и запуска, включая onsite доставку и закрытие после мероприятия. — Создание и поддержание четких планов проектов, контроль сроков, рисков, зависимостей и коммуникаций с клиентами. — Выступать основным операционным контактным лицом для клиентов во время внедрения, обеспечивая понимание требований и лучших практик использования платформы Grip. — Внедрение и консультирование клиентов по настройке платформы, организации мероприятий, вовлечению участников, стратегиям контента и активации. — Проведение регулярных клиентских встреч, документирование решений и действий, управление последующими задачами и информирование клиентов и внутренних заинтересованных сторон. — Управление объемом работ в соответствии с договором, выявление и контроль изменений, взаимодействие с коммерческими и клиентскими командами. — Координация с командами Customer Success, Solutions/Integrations, Product, Support, Engineering, Sales и Finance для успешной реализации мероприятий. — Сотрудничество с техническими и интеграционными командами для точного и своевременного выполнения интеграций и настройки платформы. — Управление рисками проекта, своевременное эскалирование проблем и поиск практических решений. — Проведение проверок качества и готовности перед запуском, обеспечение соответствия ожиданиям клиентов и стандартам Grip. — Отслеживание времени проекта, усилий и ключевых метрик для поддержания эффективности и выявления рисков. — Сбор опыта по каждому проекту и участие в улучшении процессов доставки, шаблонов и стандартов. Требования: — Опыт работы в управлении проектами, внедрении, операциях мероприятий, клиентском сервисе не менее 5 лет. — Желателен опыт внедрения или поддержки технологий для мероприятий, SaaS платформ, систем регистрации, приложений для мероприятий, решений для нетворкинга или аналогичных цифровых продуктов. — Способность одновременно управлять несколькими клиентскими проектами в условиях жестких сроков. — Сильные коммуникативные навыки, уверенность в проведении встреч, умении ставить ожидания и конструктивно решать сложные вопросы. — Комфортная работа с данными мероприятий, настройкой платформ регистрации, интеграциями, тестированием и техническими командами. — Опыт работы с ETL процессами, API, CRM системами или сторонними интеграциями будет преимуществом. Условия: — Удаленная работа из Лондона, Великобритания. — Значительные командировки по Северной Америке и международные поездки, связанные с клиентскими мероприятиями. — Полная занятость. — Зарплата в валюте: от $28,000 до $48,000 в год.

Задачи: — Владение стратегической областью AI-продукта от начала до конца: стратегия, дорожная карта, исследование, доставка и бизнес-результаты. — Тесное сотрудничество с командами инженерии, клиники и операций для формирования поведения AI в продакшене, проведения экспериментов и улучшения качества, безопасности и надежности продукта. Требования: — Опыт в управлении продуктом 5+ лет, включая 2+ года в роли AI PM с выпуском AI/ML продуктов в продакшен. — Владение полным циклом продукта с измеримым бизнес-эффектом. — Глубокое понимание prompt engineering, оценки AI, режимов сбоев и непрерывного улучшения качества. — Опыт валидации гипотез, проведения экспериментов и принятия решений на основе данных. — Сильные аналитические навыки, умение приоритизировать и управлять заинтересованными сторонами. — Уверенность в обсуждении технической реализации с инженерными командами. — Профессиональное владение русским и английским языками, включая опыт общения с носителями. — Наличие доступности по CET/CEST. — Готовность к долгосрочному B2B сотрудничеству с использованием личного оборудования. — Опыт в здравоохранении, операционной автоматизации, поддержке клиентов или оптимизации рабочих процессов будет плюсом. Условия: — Владение стратегической областью AI-продукта, автономия, полностью удаленная B2B работа. — Конкурентная компенсация и возможности для роста. — Медицинская страховка после испытательного срока, компенсация на оздоровление. — 22 рабочих дня отпуска + 4 дня на оздоровление. — Оплачиваемый больничный. — Уроки английского языка через Preply.

Location: Belgrade, Serbia; Tbilisi, Georgia; Bogota, Colombia Workplace: remote Responsibilities Execute and optimize paid search campaigns across various search engines, with a focus on Google Ads. Perform keyword research, create compelling ad copy, and optimize landing pages for better performance. Monitor campaign metrics and make data-driven adjustments to improve CTRs and conversions. Stay updated on industry trends and search engine algorithm changes to optimize campaign strategies. Prepare reports on campaign performance and provide insights and recommendations for improvement. Collaborate with the English-speaking Client Service team, ensuring effective communication, understanding client requirements, and addressing their needs and concerns. Job requirements Minimum of 2 years of hands-on experience in managing paid search campaigns, preferably with a focus on Google Ads. Strong knowledge of search engine marketing principles, best practices, and industry trends. Proficiency in Google Ads and Google Analytics. Analytical mindset with the ability to interpret and derive actionable insights from campaign data. Fluent English (B2+).

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 Design at Anthropic sits at the intersection of craft, research, and product intuition. We're a small team working on products that millions of people use daily—and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real-time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We're looking for designers who ship fast and stay in motion—people who would rather get something in front of users this week than perfect it for a month. You're excited to question fundamental UI assumptions and invent patterns that feel native to AI, and you're already using tools like Claude Code to extend what you can build. You pay attention to where model capabilities are heading, not just what Claude can do today, and you find ways to keep caring about the pixels, the copy, and the edge cases while shipping quickly. Key responsibilities Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps, and play an active role in shipping. Understand the technical architecture of our products and define primitives for new capabilities. Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology Comfortable in code, design, prototypes, and learning new ways to communicate ideas and concepts Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment Minimum qualifications Experience designing and shipping complex workflows, enterprise/B2B SaaS, developer tools, or API products end-to-end Proven track record of executing end-to-end on large and complex products, or a series of products, in ambiguous environments A portfolio demonstrating user-centered design thinking and polished UI craftsmanship Proficiency with modern design and prototyping tools, such as Figma Experience using AI tools such as Claude Code as a creative partner in your own design practice Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority Preferred qualifications Experience prototyping with front-end code (e.g., HTML/CSS/JS) Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities 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: $305,000 — $460,000 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.

Mozart AI, a startup developing an advanced digital music platform (DAW) that functions as a virtual AI co-producer for music creation and editing, is seeking a Growth specialist to join their team on-site in London, UK. The role involves driving user acquisition and engagement strategies to expand the platform's reach. Candidates should have experience in growth marketing, data analysis, and digital campaigns, with a strong understanding of the music technology sector. The position requires collaboration with product and engineering teams to optimize user funnels and implement scalable growth initiatives.

MEDvidi, a US-based mental healthcare platform, is seeking an AI Product Analyst to focus on Voice AI Agents that engage with patients and automate key parts of their care journey. The role involves analyzing AI behavior in production, identifying failure patterns such as hallucinations and inconsistencies, and assessing AI quality and reliability through examination of call transcripts, conversation logs, and operational data. Responsibilities include developing monitoring frameworks and dashboards to track AI performance, detecting anomalies and shifts in quality, and measuring the impact of AI on patient experience and business outcomes. Collaboration with Product, Engineering, QA, and Operations teams is essential. Candidates should have over three years of experience in Product, Data, or Operational Analytics, proficiency in SQL and Python for handling large text datasets, familiarity with ML pipelines or AI products, and an understanding of LLM limitations and AI failure modes. Experience in building monitoring systems and strong communication skills to translate insights into product decisions are required. Fluency in Russian and English (B2+) and availability during CET-overlapping hours are necessary. Preferred qualifications include experience with conversational AI, evaluating LLM outputs, and knowledge of AI quality metrics. The position offers remote work, involvement with impactful AI healthcare products, and benefits such as health insurance and paid leave.