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Location: New York HQ Workplace: OnSite ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. ABOUT THE ROLE As Director of Mid-Market Sales, you will lead and elevate our mid-market sales organization, driving performance, consistency, and execution excellence across the segment. This is a leadership role focused on developing talent, sharpening sales rigor, and building a repeatable, high-performing motion. You’ll coach a team of already-performing Account Executives to win complex deals, deepen discovery, improve close rates, and consistently exceed targets. This role is ideal for a sales leader who thrives in high-accountability environments, loves developing talent, and knows how to build discipline and performance into a scaling mid-market team. WHAT YOU’LL DO - Own mid-market revenue performance, ensuring the team consistently hits and exceeds monthly and quarterly targets. - Coach and develop Account Executives to improve discovery, objection handling, deal strategy, and closing effectiveness. - Elevate call quality through regular deal reviews, call coaching, and structured feedback loops. - Improve pipeline hygiene, forecasting accuracy, and overall sales execution rigor. - Identify skill gaps and implement targeted enablement programs to raise performance across the team. - Refine messaging, positioning, and demo execution to increase conversion rates and ACV. - Lead by example in strategic deals, modeling best-in-class mid-market selling behavior. - Establish clear performance standards and accountability across the team. WHAT YOU’LL BRING - 6+ years of B2B SaaS sales experience, with 2+ years leading mid-market or enterprise AEs. - Strong track record of improving rep performance through hands-on coaching. - Experience scaling and optimizing mid-market sales motions. - Proven ability to drive forecast accuracy and operational rigor. - Deep expertise in discovery-led, consultative sales. - Ability to diagnose pipeline issues and implement corrective action quickly. - Clear, confident communicator who can raise the bar on performance standards. - High ownership mentality and comfort operating in fast-moving, in-office environments. WHO YOU ARE - Coach first, manager second: you measure your success by how much better your reps get. - Obsessed with deal quality, not just deal volume. - Direct and high-accountability: you don't shy away from tough performance conversations. - Energized by mid-market complexity: real selling skill, fast cycle times, operational discipline. - In the weeds on calls, pipeline, and deal strategy, not managing from a dashboard. - Builder mentality: you want to create something, not maintain it. - High ownership, low ego: you do whatever it takes to make the team win. - In-office, engaged, and eager to lead from the front at our NYC location full-time. BENEFITS - Comprehensive medical, dental, and vision insurance - Company-sponsored 401(k) through Vestwell - Flexible PTO plus U.S. federal holidays - Company-wide off-sites - Monthly wellness stipend - Daily in-office lunch through Parkday - Dinner covered when working late - Commuter benefits and late-night rideshare - Standing desks and workspace accommodations available on request - All core tools and software provided Compensation: The expected on target earnings for this role is $350,000-$400,000 with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca’s total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process. WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

* Own outbound prospecting and pipeline creation for a defined set of accounts. * Research target accounts and decision-makers using tools like ZoomInfo and LinkedIn Sales Navigator.

In This Role, You'll Get to: Own and evolve the architecture of ACP: the orchestrator, per-host agent, and CLI that manage dedicated-resource virtual machines on bare metal, including compute placement, image management, and network recovery.

Location: Americas; APAC; EMEA Workplace: Remote RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile. We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue. We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading. THE ROLE As Senior Product Manager, User Acquisition, you'll explore an important extension of how RevenueCat helps developers grow: helping them not just monetize the users they have, but acquire more of the right users in the first place. RevenueCat already has several footholds in user acquisition, including our Apple Ads integration and integrations across the attribution and MMP ecosystem. But we're still early in defining what a broader RevenueCat user acquisition product should become. You'll be the first dedicated product hire focused on this space, reporting directly to our product lead for Ads, with significant latitude to shape both the strategy and the products we build. This is a genuine zero-to-one role. You won't inherit a predetermined roadmap. Your job will be to deeply understand how app developers acquire users today, identify where RevenueCat has an opportunity to solve problems meaningfully better, and turn those insights into products we can test, ship, and scale. You'll bring real expertise in mobile performance marketing and user acquisition to that process. The opportunity could eventually span attribution and measurement, products built on top of existing acquisition channels, new ways to optimize spend using downstream monetization data, partnerships, advertising infrastructure, or things we haven't considered yet. We have hypotheses, but we're hiring you in part because we want your perspective on which ones are worth pursuing. RevenueCat has some unusual advantages to build from: relationships with a large ecosystem of app developers, deep visibility into subscription and monetization outcomes, infrastructure already embedded in apps, and a growing advertising business. The challenge is figuring out how those assets can translate into something uniquely valuable for developers trying to grow. ABOUT YOU: - You have 5+ years of experience owning meaningful product or growth decisions end-to-end. Your title may have been Product Manager, founder, growth leader, or something else — what's important is that you've been accountable for deciding what to build and whether it worked. - You have deep, hands-on experience with mobile user acquisition—either directly managing and optimizing acquisition for mobile apps, or building products and infrastructure used by mobile acquisition teams. You understand how app developers actually acquire users, measure performance, and make decisions about where to spend their next dollar. - You understand the modern mobile acquisition stack, including MMPs and attribution, Apple Ads, Meta and Google advertising products, conversion APIs, and related measurement infrastructure. - You can reason clearly about attribution, performance-marketing economics, and privacy. You understand concepts such as CAC, LTV, ROAS, optimization signals, ATT, SKAdNetwork/AdAttributionKit, consent management, and how downstream behavior should influence acquisition decisions. - You thrive in zero-to-one environments. You can take a large, ambiguous opportunity, identify the most important unanswered questions, narrow it into product bets, and find pragmatic ways to test those bets before making large investments. - You are sufficiently technical to work closely with engineering on integrations, APIs, SDKs, data flows, identity, attribution, and other technical product decisions. - You communicate clearly across different audiences and media, particularly in writing. IN THE FIRST MONTH, YOU'LL: - Spend significant time with developers understanding how they acquire users today, how they evaluate acquisition performance, and where the process is painful, expensive, fragmented, or opaque. - Build a deep understanding of RevenueCat's existing acquisition-related products, integrations, data, customer research, and technical capabilities. - Build strong working relationships with engineering, design, data, go-to-market, and other product teams whose work intersects with user acquisition. - Develop a clear picture of the acquisition ecosystem, the problems RevenueCat is particularly well positioned to solve, and the biggest assumptions we still need to test. - Begin forming your own point of view on where RevenueCat could create differentiated value in user acquisition. WITHIN THE FIRST 3 MONTHS, YOU'LL: - Have narrowed the broad user acquisition opportunity into a small number of concrete product hypotheses, grounded in customer research, market understanding, and RevenueCat's unique advantages. - Have a clear recommendation for where we should focus first — and why. - Begin validating that direction through prototypes, design partners, technical exploration, lightweight product experiments, or an initial shippable bet. - Establish a learning agenda that makes the biggest risks and unanswered questions explicit, and gives us a fast path to increasing or decreasing our conviction. - Align senior stakeholders around what we're testing, what we're not pursuing yet, and what evidence would cause us to change direction. WITHIN THE FIRST 6 MONTHS, YOU'LL: - Have shipped our first substantive user acquisition product bet, or generated enough evidence to decisively change or stop it before making a larger investment. - Have real evidence from the market about where RevenueCat can — and cannot — create differentiated value. - Be independently driving product discovery, prioritization, and execution for the user acquisition area. - Have developed an evidence-backed point of view on the most promising opportunities in the space and what capabilities RevenueCat would need to pursue them. - Have turned a broad strategic opportunity into an increasingly focused product direction. WITHIN THE FIRST 12 MONTHS, YOU'LL: - Have established a clear strategic direction for RevenueCat in user acquisition, supported by customer behavior and product evidence rather than thesis alone. - Have shipped meaningful products or experiments that either created measurable value for developers or materially changed our understanding of the opportunity—including changing or killing bets when the evidence didn’t support them. - Have a credible longer-term roadmap for turning the strongest early signals into a meaningful RevenueCat product area. - Be the primary IC product owner for User Acquisition and the internal domain expert on how app developers acquire, measure, and optimize users. - Have helped define how RevenueCat's monetization data, developer footprint, and advertising capabilities can work together to create a differentiated position in app growth. WHAT WE OFFER: - Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator - 10-year window to exercise vested equity options - A fully remote environment designed around autonomy and flexibility - 4-5 weeks of flexible time off annually - Paid desk at a co-working space - Workspace budget and continuous learning stipend INTERVIEWING AT REVENUECAT Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed. MORE ON HOW WE WORK: - How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21 - The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/ - How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/ - What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21 - What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. The Health team develops the algorithms and features that expand WHOOP's health sensing capabilities. The work spans women's health, software as a medical device, wellness and longevity, member insights, and emerging health signals. We combine continuous physiological data with clinical research and domain expertise to ship features that are scientifically grounded and useful to millions of members. As a Staff Applied Machine Learning Scientist on the Health team, you will turn ambiguous clinical and product questions into defensible studies, models, and evaluation plans on WHOOP's longitudinal wearable and member data (physiological signals, behavioral logs, labs and integrations, and related streams). You will set the methodological bar for a Health domain. You will partner with Machine Learning Engineers on the path to production, and with Product, clinical, and Digital Health partners on what the data can and cannot support. Success in this role requires applied algorithm and statistical craft, the judgment to operate across Health problem types, and Staff-level leadership: launching domain work independently, raising the quality and velocity of the people around you, and making clear prioritization calls under uncertainty. RESPONSIBILITIES - Lead the design, development, and validation of machine learning and statistical methods for Health features, using wearable physiological and behavioral data and related member sources. - Frame ambiguous health and product questions into well-scoped modeling or study problems, with clear performance criteria, evaluation plans, and honest treatment of uncertainty and failure modes. - Set the methodological and quality standard for a Health domain: reusable evaluation practices, review expectations, and documentation that others can inherit. - Develop and refine approaches for time-series, longitudinal, and multimodal data, including data curation, labeling strategy, feature and representation choices, and offline evaluation that holds up under real-world noise, missingness, and population shift. - Partner with Machine Learning Engineers to translate validated methods into production-ready systems, making modeling choices that account for scalability, reliability, latency, cost, monitoring, and (where relevant) controlled-release constraints. - Serve as a technical counterpart to Product and Digital Health (clinical science, regulatory, quality): pressure-test performance requirements, study design, and evidence quality, and push back when a claim is not supportable. - Raise the quality and velocity of the scientists and engineers around you through design reviews, mentorship, and the judgment of when to coach someone else to champion a problem versus taking it yourself. - Communicate trade-offs, risks, and results clearly to technical, clinical, product, and leadership audiences; prevent misalignment early; drive decisions with evidence and a clear point of view on domain direction. QUALIFICATIONS - Master's or PhD (or equivalent professional experience) in Biomedical Engineering, Electrical Engineering, Computer Science, Applied Mathematics, Biostatistics, Bioinformatics, Physiology, or a related quantitative or health-science field. - 7+ years of professional experience developing algorithms, applied ML models, or statistically rigorous analyses in health, wearables, medical devices, digital health, or a closely related domain. - Demonstrated Staff-level technical leadership: setting methodological standards others reuse, influencing multi-team outcomes, mentoring senior ICs, and making prioritization calls under uncertainty. End-to-end project ownership alone is not sufficient. - Strong foundation in statistics (Bayesian and frequentist) and machine learning for time-series and longitudinal data, with the ability to draw defensible conclusions from observational, noisy, or otherwise messy real-world data. - Experience with wearable or physiological signals (PPG, IMU, HR/HRV, sleep, activity, temperature, or similar) or a closely related adjacent time-series domain. - Hands-on experience designing studies or evaluation protocols end-to-end: data curation, metric choice, validation splits, subgroup and failure analysis, and documentation of assumptions and limitations. - Strong Python skills with reproducible scientific / ML engineering hygiene (clean, reviewable code; comfort with stacks such as NumPy/SciPy/pandas, scikit-learn, PyTorch/TensorFlow). - Clear, high-signal communicator who can move between deeply technical method discussions and cross-functional conversations with Product, clinical partners, and leadership. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is seeking a Project Attorney to support to the U.S. International Development Finance Corporation's (DFC) Office of the General Counsel (OGC). This position will advise on the legal and policy aspects of DFC's equity investment program. Responsibilities Structure, diligence, negotiate and document complex, multi-million-dollar international debt and/or equity transactions, with a focus on large energy and infrastructure projects in the power, critical minerals, telecommunications, oil and gas, transport, and manufacturing and service industries. Advise on a range of possible transaction structures, including combinations of equity and debt (convertible or non-convertible) and other equity and quasi-equity instruments (e.g., warrants). For debt transactions: limited recourse project financings, structured and corporate financings, guarantees, security arrangements, and engineering and procurement agreements. For equity and investment funds transactions: the use of direct equity, formation of investment funds or alternative or novel investment and co-investment structures, joint ventures, framework agreements and/or specialized compacts or offtake arrangements with sovereign and non-sovereign actors. Serve as "first chair" in negotiations with borrowers, sponsors, investees, co-investors, general partners, multilateral development banks, development finance institutions, export credit agencies, and commercial lenders. Manage disbursements, subscriptions and/or capital calls as applicable, and monitor and restructure existing transactions across the globe. Analyze foreign and international law issues, advise on corporate matters and issues relating to collateral, intercreditor arrangements, shareholder rights, jurisdiction, dispute resolution and DFC policy matters. Performs other related duties as assigned. Qualifications A graduate of an accredited law school with an LL.B. or J.D. A current member of a bar with a valid license to practice law in a state, territory of the United States, District of Columbia, or Commonwealth of Puerto Rico. At least five years of full-time professional legal experience gained after being admitted to the bar. The minimum five-year work experience requirement includes at least four years of specialized experience that is directly related to the position being filled. At least two of the four years of specialized experience must be at a level of difficulty and responsibility equivalent to that of an attorney at the GS-14 level. Experience advising on legal and policy matters in the areas of investments in direct equity and/or private equity funds in the context of negotiating and documenting transactions for projects in emerging markets, whether directly or through the supervision of outside counsel. Must be a U.S. Citizen and must have the ability obtain and maintain a Public Trust or Secret Security clearance, as applicable. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $160,000 — $185,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Mexico Workplace: remote About Welo Data Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment.  Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai    About the Team  Welo Data's Trust & Safety function protects the integrity of a global, distributed workforce that powers AI data and annotation work. We run a multi-layered fraud detection stack combining identity verification checks, in-house behavioral signals, and platform activity data, and are actively building out a Trust & Safety Committee spanning four core workstreams: identity verification, location verification, account integrity, and multi-accounting detection. This is a hands-on investigative role, not a policy-only seat — you'll be working live cases from day one.  About the Role  We're looking for a Trust & Safety Specialist, based in Mexico, to join our investigations team, working active fraud cases and supporting the broader fraud strategy program. You'll come in with real T&S, fraud/risk, or identity-verification experience from another platform, marketplace, gaming company, fintech, IDV vendor, or crowdsourced-workforce environment, and be ready to run investigations, process removals, and spot fraud patterns from week one. What You Will Do Run investigations end-to-end: triage flagged accounts, review evidence (identity signals, behavioral flags, platform activity data), reach a disposition, and process removals in line with policy and SLA. Own IDV review: verify identity and location signals for flagged or high-risk accounts, distinguishing genuine edge cases from fraud. Conduct manual audits and reviews: prioritizing cases by risk and signal strength rather than intake order. Detect multi-accounting and account integrity abuse: recognize patterns across linked accounts, device/location overlap, and behavioral signals. Apply a hypothesis-driven investigation method: form a hypothesis, test it against the evidence, and reach a disposition that can be replicated and audited. Contribute to detection improvement: escalate emerging fraud vectors, false-positive/false-negative patterns, and rule gaps to the fraud strategy team. Handle sensitive data responsibly: apply GDPR-aligned data handling and deletion practices in every case. Collaborate cross-functionally: partner with Research Labs, Quality Strategy Architecture (QSA), and Forward Deployment Engineering on tooling gaps and process fixes surfaced by your casework What You Bring (Must Have-s) 5+ years in a T&S, fraud/risk, or identity-verification investigations role — from a platform/marketplace T&S team, a fintech/payments risk team, an identity-verification vendor, or a crowdsourced/gig-workforce trust function. Direct experience with identity/fraud signals — device fingerprinting, IP/geolocation checks, document verification, or behavioral fraud scoring. Multi-accounting / account integrity pattern recognition — you've dealt with linked-account abuse, farming, or account sharing before, not just single-account review. Case documentation discipline — you write clean, evidence-backed case notes that would survive an audit or an appeal. Comfort with ambiguity and volume — you can prioritize a queue by risk, not just clear it by count. Working knowledge of data privacy obligations (GDPR or equivalent) as they apply to case handling and data retention/deletion. Nice to Have Experience specifically in AI/ML data annotation, RLHF, or research operations workforce platforms. Exposure to rule-based fraud detection engines and an opinion on rule sprawl vs. signal quality. Familiarity with clustering/anomaly-detection approaches to fraud (even at a conceptual level). Case management system experience (any ticketing or knowledge-base tooling). Recommended Education Bachelor's degree in Criminology, Law, Criminal Justice, Cybersecurity, Information Security, Data/Computer Science, or a related field. Equivalent practical experience in T&S, fraud investigations, or identity verification will be considered in place of a degree. Relevant certifications are a plus: CFE (Certified Fraud Examiner), CAMS (Certified Anti-Money Laundering Specialist), or IDV/identity risk vendor certifications.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Software Engineering Manager to build and lead a new Device Experience Software team. This application and backend team will own the member-facing screens and supporting services used to manage the WHOOP device experience in the app. Its work will help members set up and connect a device, understand its status, adjust settings, complete updates, resolve common issues, and navigate the device lifecycle with confidence. This role combines technical leadership with people management. You will establish the team charter, hire and develop engineers, guide architecture across the app and backend, and create a dependable delivery cadence. You will work closely with Product, Design, and Quality and coordinate with mobile, connectivity, firmware, hardware, analytics, and Membership Services teams to deliver coherent experiences across the hardware and software boundary. You will also create an environment where engineers can do excellent work and continue to grow. That includes clear expectations, regular feedback, thoughtful coaching, and a culture of accountability, teamwork, psychological safety, and continuous learning. RESPONSIBILITIES - Build, manage, and mentor a new team of application and backend engineers through hiring, onboarding, feedback, performance management, and career development. - Define the team mission, ownership boundaries, technical direction, and operating model with Product, Design, Quality, and engineering leadership. - Own the end-to-end software experience for managing a WHOOP device in the app, including the member-facing screens, backend services, APIs, and production health that support it. - Guide the team in turning complex device states and hardware constraints into simple, accurate workflows for setup, connectivity, device status, settings, software updates, diagnostics, troubleshooting, replacement, and upgrades. - Guide technical designs and architecture decisions while establishing strong practices for development, testing, release readiness, observability, privacy, security, and operational ownership. - Establish a clear planning and delivery cadence that makes scope, dependencies, tradeoffs, progress, and risk visible to partners and leaders. - Use member behavior, support signals, product analytics, reliability data, and quality metrics to guide priorities and coordinate delivery across Connectivity, Firmware, Hardware, Client Platform, Membership Services, Analytics, and other partner teams. - Foster a culture of high standards, direct feedback, accountability, psychological safety, and continuous learning. QUALIFICATIONS - Software development experience followed by an engineering management or team lead role, with responsibility for hiring, mentorship, feedback, performance management, and career development. - A strong technical foundation in consumer application development and backend systems, with experience shipping mobile products and operating services and APIs in production. - Demonstrated ability to lead technical planning and iterative delivery in ambiguous environments while maintaining quality and reliability. - Experience aligning cross-functional partners on scope, priorities, dependencies, release plans, and measurable outcomes. - Strong communication and product judgment, including the ability to explain technical decisions clearly and simplify complex hardware or system behavior for members. - Interest in wearable technology and enthusiasm for working in a fast-moving product environment. PREFERRED - Experience building a new team, product area, or engineering charter from the ground up. - Developing software for connected devices, wearables, Bluetooth products, consumer electronics, or other systems that span hardware and software. - Has led a full-stack product team that owns application interfaces, backend services, and operational outcomes together. - Comfort designing device setup, pairing, connectivity, firmware update, settings, diagnostics, or support workflows. - Ability to work closely with firmware, embedded software, hardware, product design, quality, analytics, or customer support teams. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000 - $215,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: US, San Diego, CA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. About The Role As Director of Autonomy at Humanoid, you will lead the team that teaches our bipedal platform to perform locomanipulation tasks in homes and service environments: tidying a room, loading and unloading a dishwasher, putting groceries away, folding laundry, and similar tasks. The output of your team is capabilities that run reliably on real robots and pass our evals, not papers or one-off demos. This is a player-coach role: you own the roadmap, hiring, and delivery, while also training policies, curating data, and debugging failures on the robot yourself. That hands-on work is how you lead: it's how you find what slows the team down and fix it for everyone. This role sits at the intersection of applied deep learning, robotics, and people leadership, working closely with the Controls team on whole-body teleoperation and combining RL controllers with learned policies, and with the Core Technology team on foundation model pre-training for five-finger dexterity and RL methods. If you have hands-on experience with real robot hardware, a track record in applied deep learning, and have led engineers doing this kind of work, we want to hear from you. What You'll Do - Own The Capability Roadmap: Work with product to identify use-case priority, choose the execution strategy, define the evals, and deliver on the agreed timeline. - Lead The Team: Hire, develop, and manage a team of robot learning engineers; set engineering and experimental standards; run day-to-day prioritization. - Co-Own The System 0/1 Interface: Agree with the Controls team on what the policy commands (end-effector targets, root velocity, pelvis height, foot targets, hand joint targets), debug failures across that boundary, and push requirements into the whole-body control roadmap. - Partner On Data Strategy: Specify what good data looks like for bipedal locomanipulation with data collection and external acquisition organizations, ensure diversity and coverage, iterate on operator instructions, and supervise collection on the biped. - Drive Sim-To-Real Transfer: Work with the Simulation team to set up RL training on the digital twin for bipedal tasks, then iterate on reward and simulation quality to ensure transfer to the real world. - Shape Base Model Development: Feed bipedal requirements — embodiment coverage in the pretraining mixture, action representations, latency budgets — into the VLA Core Technology team's base model development, and adopt new base models as they land. - Inform Hardware Design: Interface with the Hardware Design team so findings about hands, arms, and legs on the current generation are reflected in future designs. - Report On Progress: Communicate progress to leadership in terms of capabilities working on the robot, eval results, and failure analysis. WHAT WE'RE LOOKING FOR - 5+ years working on robots (industry or research) with shipped artifacts to show for it, including learned manipulation or locomanipulation policies deployed on real hardware. - Experience leading a team of 5+ engineers doing applied robot learning, including hiring and people management, with capabilities delivered to a deadline. - Hands-on today: you've trained and debugged policies within the last year and intend to keep doing so, and can curate data, post-train a policy, and diagnose failures without delegating that work. - Experience post-training VLA-class policies (autoregressive, diffusion, or flow-matching based) via behavior cloning and/or RL. - Solid understanding of the modern teleoperation and low-level control stack — whole-body control, inverse kinematics, RL locomotion controllers — and the ability to tell whether a failure lives in the policy, the controller, or the data. - Familiarity with deep learning infrastructure: streaming datasets, checkpointing and state management, distributed training, PyTorch or JAX. - Strong grounding in modern software engineering practices, with the ability to document experiments clearly and communicate trade-offs crisply to engineers and leadership. NICE TO HAVE - Experience with multi-fingered dexterous hands: teleoperation and retargeting, tactile sensing, in-hand manipulation. - Experience with legged platforms: bipedal locomotion, whole-body control, humanoid teleoperation. - Experience applying RL to robotics problems in simulation or on real robots. - Familiarity with Physical Intelligence (π) models, NVIDIA GR00T, or similar open VLA frameworks. - Publications at top-tier robotics or deep learning conferences (CoRL, RSS, ICRA, NeurIPS) or equivalent open-source contributions. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in California, the expected base salary range is $300,000-$450,000 USD per year; your placement in that range depends on how experience maps to our internal leveling.

Location: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Regional Marketing Manager EMEA Sensor Tower Location: London, UK Work arrangement: Hybrid, with 2-3 days per week in the office Organization: Marketing Level: Director; initially an individual contributor, with future team leadership About the role Sensor Tower is seeking a Regional Marketing Manager to drive marketing across Europe, the Middle East, and Africa (EMEA). Based in London, you will help create and implement Sensor Tower’s regional marketing strategy, building awareness, generating demand, and supporting pipeline growth in partnership with regional Sales and our global Marketing organization. This is a broad marketing role with an emphasis on product marketing and brand marketing. You will develop a strong grasp of our products and customer use cases, translating complex capabilities into clear, persuasive messaging for EMEA audiences. Working closely with Product, Sales, Engineering, and Customer Success, you will contribute regional insights to global launches and adapt global programs for local markets. This is a director-level position that will begin as a hands-on individual contributor. You will set priorities, write content, and deliver programs directly, while establishing the foundation to build and lead an EMEA marketing team over time. What you will do - Drive the EMEA product marketing strategy and plan, aligning regional priorities with sales goals, global go-to-market strategies, and opportunities across the region. - Work with Product and Engineering to understand product capabilities and translate technical information into customer value propositions and relevant use cases. - Partner with global Marketing and Product on product and feature launches and beta programs, bringing EMEA buyer needs into planning and leading regional messaging and activation - Help plan and execute integrated campaigns across content, email, digital channels, account-based marketing, and events to generate qualified pipeline and support deal progression. - Collaborate with other marketing leaders on regional events. - Equip regional Sales teams with localized pitch decks, competitive battlecards, product presentations, and case studies that address customer needs and objections. - Gather customer feedback, competitive intelligence, and market insights across EMEA. Share actionable findings with global teams to inform product and marketing decisions.   - Establish scalable marketing processes, identify future hiring needs, and build and develop the regional marketing team as the function grows. What you will bring - Significant B2B marketing experience, with a track record of driving regional strategy and delivering results at a senior or director-level scope.   - Exceptional writing and editing skills in English, including the ability to explain complex products and data clearly to different buyer audiences. - Experience adapting global strategies for EMEA, with an understanding of regional differences in buying behavior and market needs. - The ability to build product knowledge quickly and partner effectively with Product and Engineering on messaging and launches. - Strong cross-functional collaboration and influence, including partnership with regional Sales and global teams across time zones. - Experience using CRM, marketing automation, and analytics tools to measure performance and guide decisions. - Sound strategic judgment and prioritization, with the willingness to execute directly and the leadership skills to build a team over time. - Broad hands-on experience across demand generation, field marketing, content, and account-based programs, with evidence of pipeline impact Preferred experience - Experience in SaaS, MarTech, AdTech, digital market intelligence, or data products. - Experience hiring, mentoring, or managing a marketing team. - Familiarity with Salesforce, Looker, or buyer intent platforms. - Additional language skills relevant to EMEA markets. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Senior Signal Processing Engineer to develop and deploy algorithms for physiological sensors including optical sensor and inertial measurement unit (IMU) data into accurate, reliable, and real-time insights on WHOOP devices. This hands-on role centers on digital and statistical signal processing, sensor fusion, and model-based state estimation, with a particular focus on accelerometer and gyroscope data. You will own algorithm development from sensor characterization, mathematical modeling, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Firmware, Hardware, Data Science, and Product, you will deliver robust on-device algorithms that perform reliably across diverse members and real-world conditions while meeting the constraints of wearable hardware. RESPONSIBILITIES - Design and develop real-time signal processing and sensor fusion algorithms that combine Sensor measurements inputs to characterize motion and deliver reliable member-facing insights. - Develop and tune model-based estimators for orientation and motion, including sensor bias estimation, uncertainty propagation, and drift mitigation under changing movement and sensing conditions. - Build robust IMU processing pipelines, including filtering, calibration, time synchronization, resampling, coordinate transformations, and compensation for sensor noise and systematic errors. - Analyze large-scale, noisy wearable datasets to identify failure modes and improve robustness across motion patterns, device orientation, fit, and individual movement characteristics. - Translate algorithm prototypes into production-ready C/C++ implementations, balancing accuracy with power, memory, compute, numerical stability, and latency. - Partner with Firmware and Hardware teams on sensor configuration, sampling strategies, and on-device integration; investigate differences between prototype behavior and performance on target hardware. - Define performance metrics and rigorous validation plans using reference measurements, controlled experiments, real-world data, and on-device testing to assess accuracy, robustness, and long-duration stability. - Own technical decisions for complex algorithm components, contribute to design and code reviews, mentor teammates, and collaborate across functions to investigate post-deployment issues and drive continuous improvement. QUALIFICATIONS - 5+ years of experience developing and deploying signal processing, sensor fusion, or state-estimation algorithms for real-world sensor applications, including substantial hands-on work with IMU data. - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or a related quantitative field, or equivalent practical experience. - Strong foundation in digital and statistical signal processing, including filtering, spectral analysis, stochastic processes, and sensor noise characterization. - Demonstrated experience with accelerometer and gyroscope processing, IMU calibration, sensor error modeling, bias estimation, and drift management. - Strong experience with Kalman filtering, including extended or error-state formulations, and model-based sensor fusion; practical understanding of nonlinear estimation, uncertainty propagation, and estimator failure modes. - Practical knowledge of 3D motion and orientation representations, including coordinate frames, rotation matrices, quaternions, and rigid-body kinematics. - Proficiency in Python for algorithm development, data analysis, and experimentation, and C/C++ for efficient embedded implementation; demonstrated experience deploying algorithms to resource-constrained hardware. - Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and cross-functional partners. - Experience with body-worn sensors, human-motion modeling, motion segmentation, or periodicity analysis is highly desirable. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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. Note: this job post is for Fullstack Software Engineers only. If you are a Backend Engineer, please see our Backend Software Engineer post here . About the role We are looking for fullstack software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Design and build the internal review tools analysts use to investigate abuse — dashboards, case queues, and evidence viewers that make high-volume, high-stakes decisions fast and accurate. Build the interfaces where humans supervise agents: streaming output, interruption and approval flows, and clear provenance for every action an agent takes. Surface abuse patterns to our research teams through the visualizations and exploration tools that make emerging patterns legible. Own the frontend architecture for tools handling sensitive data at scale — performance under large datasets, correctness under real-time updates, and access controls enforced end to end. You may be a good fit if you have: A Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in TypeScript and modern React; comfortable in Python for backend work The ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships or co-ops Have experience building data-dense internal tools or operator interfaces, not just marketing or consumer surfaces Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Manager, AI Customer Success to help us build and lead the Customer Success team for Source by Webflow, a new platform where marketing teams and their AI agents launch, optimize and scale digital experiences together. Source is in limited research preview today, and this team will support customers as it moves into commercial availability. You’ll start as a player/coach, owning a small portfolio of strategic enterprise Source accounts, including renewals and growth. As Source adoption grows, you’ll build and scale the team. Your job is to help customers get agents into production, prove the business value, and turn that into retention and expansion. This is a first of its kind role for a first of its kind product. There is no playbook yet, and you will write it. ABOUT THE ROLE: - Location: Remote-first (United States) - Full-time - Permanent - Exempt - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. - United States (all figures cited below are in USD and pertain to workers in the United States) - Zone A: $204,000 - $255,000 - Zone B: $190,000 - $238,000  - Zone C: $177,500 - $222,000 For sales roles, the ranges provided are the role’s On Target Earnings (“OTE”) ranges, meaning that the ranges include both the sales commissions target and annual base salary for the role. This salary range may be inclusive of several career levels at Webflow and will be narrowed during the interview process based on a number of factors, including the candidate’s market location, job related experience, knowledge, qualifications, and skills. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for a new position - Reporting to the Senior Director, Customers Success As a Senior Manager, AI Customer Success, you’ll … - Lead and grow the Source CS team: hire and coach as adoption grows, and build a culture of experimentation and shared learning. - Manage strategic Source accounts: serve as an executive sponsor and build relationships with senior marketing, web and engineering leaders. - Drive retention and expansion: own renewals, forecasting and account health; partner with Sales on expansion and negotiations; and guide account plans that grow use cases and adoption. - Turn Source use cases into results: lead discovery workshops, pilots and agent building, helping customers navigate rollout, adoption and change management. - Own customer outcomes: partner with Forward Deployed Engineers and Solution Architects to move from pilot to production, define success and ROI, and use performance data to drive improvements. - Enable customers to scale: establish agent permissions, autonomy and review practices, and develop customer champions and enablement. - Build the Source CS operating model: create playbooks, health metrics and AI-powered workflows; partner across teams to shape the roadmap and develop customer references and case studies ABOUT YOU: Requirements: - 8+ years in customer success, account management or consulting at a B2B software company, including enterprise accounts and executive relationships. - 2+ years managing a customer success, account management or customer growth team. - Proven success driving retention, expansion and revenue growth against commercial targets such as net revenue retention. - Ability to influence executives, both with customers and internally. - Technical aptitude across codebases, deployment pipelines, integrations, permissions and security, with the ability to partner credibly with developers. Production coding is not required. - Experience in at least one of the following: - Applied AI: building real AI workflows or agents, evaluating their output and setting realistic expectations.Digital transformation: leading complex enterprise programs involving integrated systems, workflow automation or platform migrations. - Digital transformation: leading complex enterprise programs involving integrated systems, workflow automation or platform migrations. You’ll thrive as a Senior Manager, AI Customer Success if you: - Think in systems, spot bottlenecks and build repeatable processes with measurable results. - Are comfortable with ambiguity and energized by building a team, product motion or playbook from the ground up. - Understand how marketing and digital experience tools, including CMS, martech and analytics, connect to business outcomes. - Bring relevant experience with usage or consumption based pricing, agencies or systems integrators, or Webflow and its customers. These are welcome strengths, rather than requirements. - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.   OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: United States 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 globally. We offer spot trading, margin, futures, staking, and OTC services for both individual investors and institutional clients. The Consumer Mobile team builds the Kraken app, the interface millions of people use to interact with their money. We work primarily in React Native to make complex financial experiences intuitive, fast, and trustworthy. Our product-minded engineers work closely with Product and Design to understand client problems, challenge assumptions, shape solutions, and measure whether what we ship improves the experience. We are expanding into Asia and building a new app specifically for Asian users. This requires genuine experience with the region’s distinct user expectations, design language, and technical constraints compared with Western markets. THE OPPORTUNITY - Build and own high-quality React Native features end to end, from ambiguous client problems and solution design through implementation, launch, measurement, and iteration - Partner closely with Product and Design to shape thoughtful, responsive, and trustworthy financial experiences, including product discovery, trading, and simplified client journeys - Work with APIs and dynamic or real-time data, making strong decisions on state management, rendering, performance, architecture, and reliability - Raise the product-engineering bar through technical discussions, code reviews, collaboration, strong product ownership, and a willingness to move between product and technical challenges - Help build Kraken’s new app for Asian markets. Act as the team’s subject-matter guide on regional UX and design expectations, practical approaches to firewall and connectivity restrictions, and appropriate vendors and tooling such as telemetry solutions WHAT YOU BRING - Strong React Native experience, including shipping meaningful production applications and making sound architectural and implementation decisions in a modern mobile codebase - A product-building mindset and strong product judgment. You start with the client problem, challenge or simplify requirements when needed, and turn loosely defined problems into measurable product outcomes - End-to-end feature ownership, with the ability to use metrics, experimentation, client behavior, and feedback to assess and improve what you ship - Experience building responsive, data-rich applications using APIs and dynamic or real-time data, alongside close collaboration with Product and Design in written and verbal English - Versatility and thoughtful AI use. You are comfortable wearing multiple hats and use tools such as Cursor, Copilot, or Claude to work faster while retaining responsibility for engineering judgment and quality - Proven experience building and shipping consumer mobile apps for Asian markets. You understand the region’s UX and design conventions, its technical limitations, and how to navigate launch challenges including firewall and connectivity restrictions. You can clearly explain how you have solved these problems before NICE TO HAVES - Experience in fintech, trading, crypto, payments, or another financial technology environment, with an understanding of trading, investing, or financial products - Experience with real-time or streaming data, and improving mobile application performance, responsiveness, and reliability across a range of devices - Experience across both mobile and web, or in a startup or small-to-medium-sized technology company where engineers work closely with Product and Design - Native mobile experience in Swift or Kotlin, including sound judgment about when to work below the React Native layer - Chinese language proficiency, such as Mandarin, or another Asian language 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 Twitter 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

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Chile; Poland; Spain; Bulgaria 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 globally. We offer spot trading, margin, futures, staking, and OTC services for both individual investors and institutional clients. The Consumer Mobile team builds the Kraken app, the interface millions of people use to interact with their money. We work primarily in React Native to make complex financial experiences intuitive, fast, and trustworthy. Our product-minded engineers work closely with Product and Design to understand client problems, challenge assumptions, shape solutions, and measure whether what we ship improves the experience. We are expanding into Asia and building a new app specifically for Asian users. This requires genuine experience with the region’s distinct user expectations, design language, and technical constraints compared with Western markets.   THE OPPORTUNITY - Build and own high-quality React Native features end to end, from ambiguous client problems and solution design through implementation, launch, measurement, and iteration - Partner closely with Product and Design to shape thoughtful, responsive, and trustworthy financial experiences, including product discovery, trading, and simplified client journeys - Work with APIs and dynamic or real-time data, making strong decisions on state management, rendering, performance, architecture, and reliability - Raise the product-engineering bar through technical discussions, code reviews, collaboration, strong product ownership, and a willingness to move between product and technical challenges - Help build Kraken’s new app for Asian markets. Act as the team’s subject-matter guide on regional UX and design expectations, practical approaches to firewall and connectivity restrictions, and appropriate vendors and tooling such as telemetry solutions WHAT YOU BRING - Strong React Native experience, including shipping meaningful production applications and making sound architectural and implementation decisions in a modern mobile codebase - A product-building mindset and strong product judgment. You start with the client problem, challenge or simplify requirements when needed, and turn loosely defined problems into measurable product outcomes - End-to-end feature ownership, with the ability to use metrics, experimentation, client behavior, and feedback to assess and improve what you ship - Experience building responsive, data-rich applications using APIs and dynamic or real-time data, alongside close collaboration with Product and Design in written and verbal English - Versatility and thoughtful AI use. You are comfortable wearing multiple hats and use tools such as Cursor, Copilot, or Claude to work faster while retaining responsibility for engineering judgment and quality - Proven experience building and shipping consumer mobile apps for Asian markets. You understand the region’s UX and design conventions, its technical limitations, and how to navigate launch challenges including firewall and connectivity restrictions. You can clearly explain how you have solved these problems before   NICE TO HAVES - Experience in fintech, trading, crypto, payments, or another financial technology environment, with an understanding of trading, investing, or financial products - Experience with real-time or streaming data, and improving mobile application performance, responsiveness, and reliability across a range of devices - Experience across both mobile and web, or in a startup or small-to-medium-sized technology company where engineers work closely with Product and Design - Native mobile experience in Swift or Kotlin, including sound judgment about when to work below the React Native layer - Chinese language proficiency, such as Mandarin, or another Asian language 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 Twitter 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

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. The Learning Design and Enablement Manager will join the Enterprise Learning & Development team within the People organization to build applied learning experiences that strengthen leadership, professional, and Artificial Intelligence (AI) capabilities. You’ll translate business needs into practical, scenario-based learning that supports lasting behavior change, scalable enablement, and measurable business impact. Reporting to the Manager of Enterprise Learning & Development, this role is remote in the United States and Canada and will help build the capabilities 1Password needs to deliver on its mission. How we’re using AI today On the People team, we’re using AI intentionally and responsibly as part of how our work gets done. We’re building a shared foundation of AI confidence and capability with the belief that innovation happens best when we learn and experiment together. From drafting communications and synthesizing feedback to automating workflows across the employee lifecycle, we’re embedding AI into our day-to-day operations and the way we collaborate cross-functionally, helping us move quickly and create space for the human moments that matter most. This is a remote opportunity within Canada and the US. What we're looking for: • 7+ years of experience in instructional design, learning design, or a related learning and development role, with experience translating capability needs into practical learning solutions. • Experience designing scenario-based learning grounded in real business workflows and focused on behavior change rather than one-time knowledge transfer. • Ability to identify patterns across stakeholder needs and create reusable frameworks, content, and learning experiences that can scale across teams. • Experience embedding measurement and evaluation into learning solutions, along with the ability to connect learning outcomes to business impact. • Working knowledge of instructional design methods such as Analysis, Design, Development, Implementation, and Evaluation (ADDIE), Design Thinking, backward design, or comparable approaches. • Strong project management, facilitation, communication, and independent decision-making skills, with the ability to turn ambiguous needs into clear solutions and manage multiple priorities. • Experience building workplace AI capability, designing leadership programs across multiple leadership levels, or using emerging learning technologies and AI-enabled tools. What you can expect: • Design and develop applied learning solutions based on identified capability needs, using real business scenarios and workflows. • Partner with functional enablement leads, subject matter experts, and cross-functional stakeholders to integrate learning into existing programs and team practices. • Lead the design and development of leadership capability programs for front-line, mid-level, and senior leaders, facilitating selected sessions as needed. • Create learning experiences that help people use AI thoughtfully and effectively, with an emphasis on judgment, critical thinking, responsible application, and evaluating outcomes. • Develop reusable frameworks, practices, measurement approaches, and resources that strengthen learning delivery and effectiveness across the organization. • Build evaluation into each solution, use learner and stakeholder feedback to improve programs, and maintain learning materials so they remain current and relevant. USA-based roles only: The annual base salary for this role is between $119,000 USD and $173,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $106,000 CAD and $154,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Baku Workplace: onsite ABOUT YOU We are looking for a Senior QA Engineer who is meticulous, technically sharp, and forward-thinking to join our engineering team. You thrive in fast-paced, agile environments and are passionate about ensuring quality at every stage of the development lifecycle. You are not only confident in manual testing but also eager to integrate AI driven testing tools and workflows to elevate productivity, test coverage, and defect detection.   You bring deep expertise in exploratory and structured testing, contribute to team best practices, and are proactive in monitoring production behavior and user experiences. You stay curious about emerging tools and technologies, especially AI, and know how to leverage them effectively without losing sight of the fundamentals.   If you’re excited to improve test processes, advocate for quality across teams, and drive innovation in QA through automation and AI, we’d love to hear from you.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities Own and lead manual testing of complex features across multiple environments Drive exploratory and regression testing using structured documentation and product knowledge Identify, log, and track reproducible issues with precision using bug tracking tools (e.g. Jira) Analyze production logs and real-user behavior to proactively identify quality gaps Create and maintain detailed test cases, checklists, and QA documentation Collaborate with engineering and DevOps teams to ensure reliable CI/CD test coverage Evaluate and integrate AI-powered tools (e.g. test generation, log analysis, visual regression) into QA workflows Set up and manage test environments, staging pipelines, and job configurations Conduct load/stress testing and performance investigations Act as a quality advocate across sprint planning, reviews, and release cycles Mentor junior QA engineers and promote a culture of proactive quality ownership Qualifications & Skills Proven experience in software QA or testing roles, including ownership of end-to-end quality Degree in Computer Science, Information Technology, or related field Strong understanding of manual testing methodologies and defect life cycle Proficiency with bug tracking systems (e.g., Jira) and version control (e.g., Git) Practical experience using Postman and similar tools for API validation Hands-on experience with CI/CD pipelines and deployment readiness processes Proficiency with browser developer tools and basic terminal/command-line usage Strong verbal and written English communication skills Familiarity with AI-powered testing tools (e.g., test case generation, smart test prioritization, AI log analysis) Good to Have Experience with Playwright, Cypress, or Selenium for automated test development Understanding of backend technologies, APIs, and familiarity with PHP or related languages Experience working in Linux environments and using Bash scripting Hands-on with AI platforms (e.g., ChatGPT, Testim, Mabl, or AI-based bug triaging tools) in a QA context The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Hamburg adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn't just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren't just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second. What you will do: - Analyze and evaluate the performance of our machine learning models using user-level and aggregated data, identify inefficiencies and failure patterns, and turn findings into actionable recommendations for our Data Science teams. - Investigate how our ML models perform in the real world and compare model assumptions and predictions with actual user and business behavior. Identify gaps between offline model performance and online outcomes and help the team close them. - Define and improve metrics for measuring ML model performance and business impact, working closely with Data Scientists and Product Managers to ensure we optimize for the right outcomes. - Design, prepare and analyze A/B tests and other experiments to measure the impact of new models, features and algorithmic changes. Assess statistical significance, experiment quality and practical business impact. - Build dashboards and automated reports that make ML model performance, experiments and key business metrics transparent and easy to understand for technical and non-technical stakeholders. - Act as a bridge between Data Science, Product and Business teams, translating business questions into analytical problems and turning complex ML insights into clear recommendations and decisions. - Challenge product and technical decisions with data, bringing an independent analytical perspective to model development, experimentation and product strategy. - Document your analyses, methodologies and findings and build reusable analytical approaches that can be applied across models and experiments. Who you are: - You have a degree in mathematics, statistics, physics, computer science, economics, analytics, or a similar quantitative field. - You have 2+ years of relevant experience in Data Analytics, Product Analytics, Experimentation, Data Science or a similar role. Experience in AdTech, mobile apps or ML-driven products is a strong plus. - You have a strong analytical mindset and enjoy digging into data to understand why something happens, not just what happened. - You’re proficient in SQL and comfortable working with large datasets. - You have strong Python skills and are comfortable using them for data analysis and statistical modelling. - You have a solid understanding of statistics and experimentation, including hypothesis testing, confidence intervals, statistical significance and A/B test analysis. - You have an understanding of machine learning concepts and model evaluation and are comfortable working with Data Scientists. You don't necessarily need to build ML models yourself, but you should understand how to assess their performance and limitations. - You have experience working with model and business metrics, and can connect technical model performance to real-world business outcomes. - You have excellent data visualization skills and experience building dashboards using tools such as QuickSight, Power BI, Tableau, Streamlit or similar. - You are comfortable communicating complex analytical findings to both technical and non-technical audiences. Fuel for the Journey: Benefits to Support Your Ambitions - Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals. - Easy Arrival to adjoe: From signing to settling in Hamburg, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at adjoe in Hamburg? We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home. - Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP). - Thrive Where You Work: Enjoy the Alster lake view from our central office with top notch equipment, fun open spaces, and a large variety of snacks and drinks. - Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too. Skip writing cover letters. Tell us about your most passionate personal project, your desired salary and your earliest possible start date. We are looking forward to your application! We welcome applications from people who will contribute to the diversity of our company. We welcome applications from people who will contribute to the diversity of our company.