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Location: Flushing,NY 📍 Location: Flushing, NY 🕒 Schedule: Sunday–Friday, 3:00 PM to 7:00 PM 🏠 Setting: In-home ABA therapy About the role LBAPS is seeking an ABA Therapist (RBT) for an in-home case in Flushing. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ High school diploma required ✅ A few years of RBT experience required ✅ ABA therapy experience required ✅ Strong experience supporting learners with challenging behaviors ✅ Able to stay calm, consistent, and patient in difficult situations What we offer 💰 Competitive pay based on experience 📩 Apply today to be considered.

Location: Brooklyn, NY 11210 📍 Location: Brooklyn, NY 🕒 Schedule: Monday–Friday, 5:00 PM–9:00 PM, 20 hours per week 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking an ABA Paraprofessional (RBT) for a 1:1 in-home case in Brooklyn. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ High school diploma ✅ Experience working as an ABA Paraprofessional or RBT ✅ Experience working with children ✅ Reliable and dependable ✅ Female technician required What we offer 💰 $25–$30 per hour, depending on experience 🕒 Weekday evening schedule, Monday–Friday 📩 Apply today to be considered.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD This role owns how Higgsfield measures its product - from the first sign-up to whether people come back. You are the measurement owner for onboarding, first generation, the paywall, plans and credits, and retention. Product managers ship fast here - your job is to make sure they ship knowing. You make sure: - Every product decision has a number attached to it before it ships and after it ships - Experiments are designed to be readable, and then read honestly - including when the answer is “this didn’t work” - The events the product emits can be trusted; you own the definition, not just the query - A PM gets an answer in hours, not next sprint You are the person who decides what “it worked” means. WHAT YOU WILL DO Product measurement - Own the core product metrics: activation, first-generation success, generation depth, free→paid conversion, repeat usage, retention by cohort and segment. - Define each metric once, write the definition down, and hold the line on it - one definition across dashboards, decks, and Slack. - Instrument new features before launch, with product and engineering: which events, which properties, what success looks like, when we call it. - Watch the health of the event stream itself - tracking drift, double counting, missing parameters, naming breakage and find the problem before a decision gets made on top of it. Experimentation - Design A/B tests properly: hypothesis, one primary metric, unit of randomization, MDE, sample size, run length, guardrail metrics. - Read them honestly: significance, peeking, novelty effects, sample-ratio mismatch, segment heterogeneity. - Separate “we proved this works,” “we proved this doesn’t,” and “we can’t tell from this test” - and say which one out loud. Product & monetization analysis - In-product funnel work: onboarding and quiz, first generation, paywall, checkout, plan choice, credit top-ups. - Pricing and packaging analysis: plan mix, credit consumption, unit economics per generation, margin by feature and by model. - Feature adoption and its real effect on retention and revenue — separating “users who do X retain better” from “making people do X improves retention.” - Behavioural segmentation: casual creators vs corporate/B2B, new vs returning, by model and by use case. Mixing them hides everything that matters. Making it usable - Build the few dashboards PMs actually open on their own — decision-shaped, not comprehensive. - Write short readouts a non-analyst can act on. Visualize data for humans, not for other analysts. - Automate recurring reporting so your hours go to new questions, not refreshes. - Work in SQL, Python, BigQuery and product analytics tools. We use AI heavily - resourcefulness beats syntax. WHO WE'RE LOOKING FOR We're looking for an analyst with opinions. You should have: - Strong SQL: window functions, cohorts, funnels and retention on raw event data, without help. - Python at working level for analysis (pandas, notebooks). Entry level is fine - we use AI heavily. - Real experimentation experience: you have designed tests, run them, and killed features with the results. - Statistical honesty: you know what a p-value does and does not entitle you to say, and you have refused to call a flat test a win. - Understanding of subscription + one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, deferred value of unspent credits. - The instinct to check the instrument before explaining the movement - a surprising number is a claim, not a fact. - Ownership: you decide what's worth analyzing, you chase the fix, you follow the recommendation to a shipped change. - Clear written and spoken English, B2+. Backgrounds that often do well: - Product analysts from consumer subscription or PLG products - Growth/BI analysts who moved into product and stayed - Early-startup analysts who built product measurement from zero - Data scientists who got tired of models and want decisions WHAT THIS ROLE IS NOT This role is not a fit if you: - Wait for a ticket to tell you what to analyze - Want to build models more than you want to change decisions - Need a data engineering team and clean tables to exist before you can start - Would report a lift you don't believe in because a stakeholder wants it - Need perfect data before you can say anything useful - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.   WHAT THIS ROLE MEANS AT HIGGSFIELD Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing. This role makes the company act per user, and know what that action was worth. You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number. You make sure: - Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else - We know who is about to churn early enough to do something about it — and we know whether the something worked - Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three - Every model and every campaign has a holdout behind it, so we can always state what it is worth in money WHAT YOU WILL DO Churn, retention & lifecycle propensity - Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it. - Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing. - Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system. - Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list. Uplift modelling & offer targeting - Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves. - Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes. - Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off. - Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup. - Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it. Lifetime value & payer economics - Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount. - Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes. - Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling. - Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it. Experimentation & causal measurement - Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it. - Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying. - Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud. - Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck. How we ship - Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining. - Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit. - Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score. - Write down what each model is worth, in money, and keep that number current. WHO WE'RE LOOKING FOR - Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this. - Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale. - Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift. - Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot. - Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer. - Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model. - Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule. - Clear written and spoken English, B2+. Backgrounds that often do well: - Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached - CRM and lifecycle data scientists who owned campaign targetingandits incrementality - Causal inference and uplift specialists who ship policies rather than papers - Strong product analysts who moved into modelling and kept the decision instinct WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open - Want to own a recommender or a serving stack — ranking is not in this role's scope today - Would target an offer at the users most likely to buy and call it personalization - Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't - Optimize AUC and hand the score to someone else to work out what to do with it - Need clean labelled data, a feature store and an experimentation platform to exist before you can start - Want predictable 9–5 workdays HIRING PROCESS We move fast: - Screening call (30 min) - Technical interview & case study (1 hour) - Practical home task (7 days) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Ossining, NY 📍 Location: Ossining, NY 🕒 Schedule: Saturdays and Sundays, weekend hours 🏠 Setting: 1:1 ABA therapy About the role LBAPS is seeking an ABA Paraprofessional (BT) for a 1:1 case in Ossining. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Background in ABA, special education, or pediatric behavioral support ✅ Ability to implement behavior intervention plans ✅ Consistent, reliable, and structured 🗣️ English and Spanish speaking preferred What we offer 💰 Competitive pay based on experience 🕒 Weekend hours, Saturdays and Sundays 📩 Apply today to be considered.

Location: Yorktown Heights, New York 📍 Location: Yorktown Heights, NY 🕒 Schedule: Monday to Friday, after-school hours 🏠 Setting: 1:1 ABA therapy About the role LBAPS is seeking a Behavior Technician (BT) for a 1:1 case in Yorktown Heights. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for 🗣️ English required; bilingual in Spanish is highly preferred ✅ Background in ABA, special education, or behavioral support is required ✅ Experience delivering direct 1:1 behavioral support using ABA techniques ✅ Reliable, patient, and consistent What we offer 💰 Competitive pay, based on experience 🕒 Monday to Friday, after-school hours 📩 Apply today to be considered.

Location: Yonkers, NY 📍 Location: Yonkers, NY 🕒 Schedule: Part-time, starting at 3:30 PM (after-school hours) 🏠 Setting: 1:1 ABA therapy About the role LBAPS is seeking an ABA Paraprofessional (BT) for a 1:1 case in Yonkers. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for 🗣️ English language required (bilingual in Spanish a plus) ✅ Background in ABA, special education, or behavioral support preferred ✅ Ability to deliver 1:1 behavioral support using ABA strategies ✅ Experience with skill-building and social skills support ✅ Willingness to collaborate with the family and clinical team on progress tracking What we offer 💰 Competitive pay 🕒 Part-time, after-school schedule 📩 Apply today to be considered.

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Our Corporate teams support the company's performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organization efficiency to keep Voodoo ahead of the market. Voodoo's Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo's success. ROLE We're looking for a Senior Finance Data & Systems Analyst – Pigment Lead, AI & BI to join our Corporate team. In this role, you'll be the internal expert and owner of our Pigment platform, while driving data, automation, and AI initiatives to elevate the Finance team's performance and service quality across FP&A and Accounting. - Progressively take full ownership of Pigment's rollout and upkeep, reducing dependency on the external service provider and becoming the go-to internal expert on the tool - Optimize platform configuration, drive integration development, and build a strategic roadmap to support consolidation and reporting needs across FP&A and Accounting - Design and implement, together with the Head of FP&A, a structured budgeting process in Pigment, including workflow, calendar, and contributor governance - Adapt and evolve Pigment use cases tied to the Accounting close process, in collaboration with the Head of Accounting - Establish robust operational controls, including disciplined change management and a comprehensive financial data governance framework (definitions, quality, single source of truth, access governance) - Lead data and automation projects beyond Pigment to improve Finance team performance, including self-service analytics, reconciliation automation, and variance analysis - Drive the deployment of AI agents to replace manual processes and enhance the Finance team's operational efficiency - Scope and contribute to building priority Finance dashboards (Looker, Tableau, Power BI, or similar), ensuring metric consistency across Pigment, BI, and Finance reporting - Develop and maintain documentation, training materials, and user support processes to champion best practices across the Finance team - Mentor and grow a junior analyst or intern, progressively delegating Pigment, data, or reporting responsibilities PROFILE - 5–8 years of experience in Finance Data, FP&A, or Finance Systems roles, ideally in consulting or a tech scale-up environment - Hands-on experience with a Pigment rollout or run, or a similar EPM tool (Anaplan, Adaptive Insights, Hyperion, etc.) - strongly preferred - Demonstrated ability to internalize a tool previously managed by an external service provider, with a mandate to build internal autonomy quickly - Comfortable working with FP&A, Accounting, and Data/IT stakeholders alike - Some experience with SQL or Python and BI tools (Looker, Tableau, Power BI, or similar) - Genuine enthusiasm for applying AI to Finance, including no-code/low-code tools, agents, and LLMs - Ability to structure a data governance approach at the scale of a Finance function - Familiarity with accounting close processes is a plus - Prior mentoring experience (junior analyst, intern, or apprentice) is a plus - Fluent in both French and English BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: Remote in EMEA Location: This is a 100% remote role and is open to candidates residing in EMEA. Visa sponsorship is not available. About the job Testlio's fully managed crowdsourced testing platform integrates expert, on-demand testers directly into your release process. Ship faster and more confidently with global coverage across 600,000+ devices, 800+ payment methods, 150+ countries, and 100+ languages. To learn more, visit www.testlio.com . We are seeking an Engineering Manager to lead the team that owns every way the outside world connects to Testlio: our partner integrations, our public API, our identity and access surfaces. If a client’s Jira, a client’s CI pipeline, a client’s engineer, or a client’s AI agent touches Testlio, it goes through your team’s systems. This role reports to the Director, Engineering. Why will you love this job? Own the platform’s contract with the world. You’ll lead the one team that covers the whole programmatic perimeter: bi-directional sync with a dozen tools (Jira, Xray, Azure DevOps, GitHub, GitLab, Asana, Linear, Monday, TestRail, Trello, YouTrack, Slack), enterprise SSO, our public API. Build the API as a product, not a byproduct. We have a written public-API strategy: OpenAPI contracts as the source of truth, major and dated versioning, uniform auth, granular API roles, rate limiting, end-to-end request tracing. Make support self-serve. You’ll cut recurring support work at the source, with self-serve setup and diagnostics, integration health visible to the people who need it, and automation and permanent fixes instead of repeat manual triage. Partner with product and with real customers. You’ll work closely with a dedicated product manager on discovery, prioritization, and outcomes, and also directly with enterprise client engineering teams who build against our API. Why will you love being a part of Testlio? Great Culture: Testlio is a female-founded company, and half of our team identifies as women. We’re proud of our inclusive, purpose-driven culture where people genuinely enjoy collaborating. As part of our team (we call ourselves TestLions), you’ll help create exceptional digital experiences for our customers, while also contributing to our freelance network. Remote Work: Our culture is built around remote work. We’ve created systems to allow us to successfully work together asynchronously as a fully remote and globally distributed team. Testlio provides the tools and guidance for everyone to succeed in their careers in a fully remote setting. Our working style encourages everyone to make decisions, communicate effectively, and work at a sustainable pace. Investment in You: Your growth and well-being matter to us. You’ll have flexible paid time off—including national holidays, personal days, and sick days—plus stock options so you can grow with Testlio. We also provide a $300 annual learning stipend to support your personal and professional development. Winning Business: Testlio is growing, profitable, and cash-strong. We are leading our industry with exceptional clients who provide us with a high NPS score and a 4.7 rating on G2. Our business model is global, enterprise, and subscription-based. Several of our largest clients have been with us for 7+ years, and many spend $500K+/year with Testlio. What would your day look like? Shaping what's next Stay close to the code: Expect to spend roughly 20–30% of your time on hands-on engineering, including writing production code, providing substantive reviews on critical-path pull requests, and signing off on key technical designs. You'll help remove critical technical bottlenecks and contribute directly when needed, while empowering the team to own and deliver work independently. Public API strategy: Own Testlio's public API end to end: OpenAPI specifications kept current in every service repo and treated as the consumer contract, a coherent versioning and deprecation policy, consistent authentication and authorization on every endpoint, rate limiting, and traceability across the request path. Integration architecture: Set the multi-quarter technical direction for a sync platform that must stay correct across a dozen third-party APIs, each with its own data model, rate limits, and release cadence. Reduce per-vendor special-casing in favour of a common mapping and sync core. Roadmap ownership: Turn strategy into a sequenced roadmap with your product partner, and own technical delivery from concept to production. Running it with rigor Engineering operating rhythm: Establish effective planning, prioritization, and design review practices that balance delivery speed with long-term scalability. Technical leadership: Combine engineering vision and team mentorship with hands-on technical contribution, staying close to the codebase to understand the team's work and make informed technical decisions. Third-party dependency management : Own the risk that comes with depending on other people's APIs. Track vendor changelogs, deprecations and sunset dates, plan migrations before they become incidents, and keep credential, token, and connection failures from turning into client-visible outages. Production support and escalations: Own production support for your domains, including triage, escalation management, and root-cause resolution. Drive automation, self-serve setup, and permanent fixes that measurably reduce recurring support volume and improve operational efficiency. Reliability and observability: Define service level objectives for sync freshness, sync success rate, and API availability and latency; build the dashboards that make integration health self-serve; and lead root-cause analysis on production issues.Engineering standards: Ensure work is traceable and the Definition of Done is consistently met, minimizing escaped defects and keeping cloud costs in check. Team growth: Coach engineers technically, bring AI-assisted development workflows (e.g., Claude Code) into daily practice, and reduce knowledge silos through reviews and documentation. What do you need to succeed? Technical skills Engineering management: 5+ years managing a team of 4+ engineers in an agile, remote environment. Hands-on technical leadership: Recent experience writing production code and designing or evolving production systems. You are comfortable working directly in the codebase, contributing to implementation, reviewing code, and making architectural decisions alongside your team. Public or partner-facing API ownership: Proven experience designing, versioning, documenting, and deprecating APIs consumed by people outside your own company. You've made a breaking-change decision and lived with the consequences. OpenAPI, idempotency, pagination, webhooks, and rate limiting are familiar ground. Third-party integration systems: Experience building or running integrations against external APIs at scale: OAuth flows, credential storage and rotation, retries and backoff, queue and poison-message handling, conflict resolution in bi-directional sync, and per-tenant blast-radius control. Technical stack: Strong affinity with TypeScript and Node.js on AWS, including serverless (Lambda), DynamoDB, and event-driven patterns. Nice-to-haves Identity and access: Practical knowledge of OAuth 2.0, OIDC, SAML, and enterprise SSO, plus token scoping and least-privilege API roles. Broader stack familiarity: Kafka, GraphQL, Python, and React are a plus. Observability and performance: Experience with observability and APM tools (e.g., New Relic, Datadog, Sentry) and optimizing slow database transactions. Application security: Knowledge of application security best practices and integrating security review into the SDLC. Legacy modernization: Experience modernizing legacy systems or paying down significant technical debt while keeping a product running. SaaS experience: Prior experience managing a SaaS product is a plus. Human skills Fluency in English, with excellent written and verbal communication. Collaborative. Works effectively with product management and cross-functional partners in a distributed, asynchronous setting. Organized and thorough, with a meticulous approach to standards and process. Growth catalyst. Passionate about team productivity, technical excellence, and continuous improvement. Results-oriented, with data-driven decision-making. What is the application process? We do our best to bring on individuals who are excited about their role and have the potential for a great future with Testlio. Since we are 100% distributed, you'll meet with several people from our organization so you get a clear picture of who you'd work with and what the role expects. Our process typically takes 3 to 4 weeks. Application review Recruiter interview Hiring Manager Interview Live Technical Exercise 2 team and stakeholder interviews Reference checks Offer Diversity and inclusion Testlio is an equal-opportunity employer deeply committed to creating an inclusive environment for people of all backgrounds and identities. We are female-founded, and 46% of our team members identify as women. For more information, see the DEI section of our website. #LI-Remote

Location: Dublin, IE 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 one of the founding Startup Account Executives in EMEA, you’ll pioneer the adoption of safe, frontier AI across the region by securing strategic deals with some of the fastest growing technology companies in the world. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll build Anthropic's presence across EMEA's dynamic startup ecosystem, continuously refining our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. As an early member of our EMEA sales team, you'll help establish Anthropic's commercial foundation in the region while advancing the ethical development of AI technology. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases, collaborating cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs, providing insights that strengthen our value proposition and enhance the customer experience Help define our regional GTM operations and sales methodologies by incorporating learnings into playbooks, templates, and best practices You may be a good fit if you have: 5+ years of technical sales experience with a proven track record of driving adoption of emerging technologies with a consultative, solutions-oriented sales approach, preferably across EMEA markets Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed Exposure to negotiating complex, customized commercial agreements with multiple stakeholders Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: €155.000 — €205.000 EUR 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: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE  As a direct Business & Operations partner to our Solutions team, including Deployment Strategists and Applied AI Engineers. You will work closely with Solutions leadership to build & scale the operating system that powers value & operational excellence across pre-sales and post-sales activities. You will translate our value vision into a scalable operating model by building automations, defining processes and ways of working, standing up KPIs and reporting, operationalising our internal ROI framework, feeding the feedback loop to capitalize on our successes, and embedding reusable value frameworks into customer engagements. This role is critical to turning our go-to-market strategy into repeatable, AI-native action, aligning delivery quality, output per FTE, and customer satisfaction to improve the efficiency and impact of our Solutions organisation and accelerate the value Mistral delivers to customers.   WHAT YOU WILL DO   Operating System & Automation - Build the secure-by-design operating system that links our tooling stack to the Solutions team’s needs, and design the internal tools & automations that raise output per FTE. - Streamline Deployment Strategist operations across pre-sales scoping and delivery, compounding shared knowledge, templates, and reusable IP. - Drive daily adoption of our AI layer throughout the Solutions team, productising internal work into reusable assets for the team. Value Intelligence & ROI - Operationalise the internal ROI framework per project / use case, defining and surfacing where we build value. - Define the reporting layer and metric catalog (what we collect and surface) and build the dashboards that turn our data foundation into decisions and proof of value. - Stand up the customer satisfaction measurement system (define, collect, surface) as a core input to value & operational excellence. Processes, Ways of Working & Cross-Functional Collaboration - Codify delivery playbooks, ways of working, and scaling programs end-to-end across the customer lifecycle - Partner with Revenue Growth, People Growth, RevOps, CSMs and Product & Engineering to align the operating system with company strategy and fuel the flywheel. - Ensure our operational processes are followed across geographies, embedding safety, security & compliance into our ways of working.   WHAT WE'RE LOOKING FOR - 4+ years of experience in strategic operations, business operations, or a chief-of-staff role within technical sales or solutions engineering. - Strong ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution. - Proven track record in optimising processes, impacting business KPIs, and aligning resources with business priorities. - Exceptional negotiation and diplomacy skills: ability to navigate complex stakeholder dynamics and align competing priorities. - Hands-on, execution-focused mindset with a bias for action in ambiguous, fast-changing environments. - Hands-on builder of internal tools and data workflows; comfortable turning manual processes into scalable systems. - Strong analytical skills to design ROI and value frameworks, build reporting, and translate data into operational decisions. - Technical acumen and AI fluency: understanding of AI implementation, use cases, and scaling challenges. - Native-level fluency in English; additional European languages are a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Brooklyn, NY 11210 📍 Location: Brooklyn, NY 🕒 Schedule: Monday–Friday, 5:00 PM–9:00 PM, 20 hours per week 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking an ABA Paraprofessional (RBT) for a 1:1 in-home case in Brooklyn. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ High school diploma ✅ Experience working as an ABA Paraprofessional or RBT ✅ Experience working with children ✅ Reliable and dependable ✅ Female technician required What we offer 💰 $25–$30 per hour, depending on experience 🕒 Weekday evening schedule, Monday–Friday 📩 Apply today to be considered.

Location: Lanoka Harbor, NJ 08734 📍 Location: Lanoka Harbor, NJ 🕒 Schedule: 5 hours per day 🏫 Setting: In-school ABA therapy About the role LBAPS is seeking a Registered Behavior Technician (RBT) for a 1:1 in-school case in Lanoka Harbor. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Current RBT certification required ✅ Female technician required ✅ Experience working with children preferred ✅ Dependable, patient, and professional ✅ Comfortable working in a school environment What we offer 💰 Pay: $25–$30 per hour, depending on experience 🕒 5 hours per day, school-based schedule 📩 Apply today to be considered.

Location: Patterson, New Jersey 07514 📍 Location: Paterson, NJ 🕒 Schedule: Monday to Friday, 3:30 PM to 8:30 PM 🏠 Setting: 1:1 ABA support About the role LBAPS is seeking an ABA Paraprofessional (RBT) for a 1:1 case in Paterson, NJ. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ RBT experience required ✅ High school diploma required ✅ Experience working with challenging behaviors preferred ✅ Patient, compassionate, and reliable ✅ Able to build a positive working relationship with the learner What we offer 💰 Pay based on experience 📩 Apply today to be considered.

Location: Providence, New Jersey 07504 📍 Location: Providence, NJ 🕒 Schedule: Monday to Friday. Home sessions run 6:30 PM to 8:30 PM. Daycare hours follow the daycare schedule. 🏠 Setting: 1:1 in-home or daycare-based ABA therapy About the role LBAPS is seeking a female Registered Behavior Technician for a 1:1 case in Providence. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Female RBT required ✅ Patient, compassionate, and empathetic approach ✅ Reliable and dependable ✅ Willing to provide services in either home or daycare settings ✅ Experience with autism or ABA preferred What we offer 💰 Competitive pay 🕒 Weekday schedule 📩 Apply today to be considered.

Location: Patterson, New Jersey 07501 📍 Location: Paterson, NJ 🕒 Schedule: Monday through Friday, 4:00 PM to 8:00 PM 🏠 Setting: 1:1 ABA therapy About the role LBAPS is seeking a Female Spanish-Speaking ABA Paraprofessional (RBT) for a 1:1 ABA therapy case in Paterson. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Female technician required 🗣️ Spanish-speaking RBT required ✅ Experience working with children and/or ABA preferred ✅ Reliable and dependable ✅ Available Monday through Friday, 4:00 PM to 8:00 PM What we offer 💰 Pay: $25–$30 per hour, depending on experience and qualifications 📩 Apply today to be considered.

Location: Brown Mills, New Jersey 08015 📍 Location: Browns Mills, NJ 🕒 Schedule: 2 days per week, approximately 5:00 PM to 7:00 PM, days set with the family 🏠 Setting: 1:1 ABA therapy About the role LBAPS is seeking an ABA Paraprofessional (RBT) for a 1:1 case in Browns Mills, NJ. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Female RBT required ✅ Previous RBT experience required ✅ High school diploma or equivalent ✅ Comfort managing challenging behaviors with a calm, patient approach ✅ Ability to commit to 2 days per week What we offer 💰 Competitive pay 🕒 Flexible schedule, set with the family 💙 Part-time position 📩 Apply today to be considered.

Location: Brooklyn, New York 11234 📍 Location: Brooklyn, NY 🕒 Schedule: Monday to Friday, 3:00 PM to 4:30 PM 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking a Registered Behavior Technician (RBT) for a 1:1 in-home case in Brooklyn. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Female technician required ✅ High school diploma required ✅ Experience working with children required ✅ Patient, caring, and dependable ✅ Strong communication skills 📩 Apply today to be considered.