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Location: United States - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM You'll own a large, high-value portfolio (~35 enterprise and strategic accounts) at the center of Smartcat's retention engine — with real autonomy over how you run renewals, multi-thread accounts, and drive expansion. This is a revenue-owning seat, not a support function: you'll operate independently, without dedicated CSM backing, partnering with Field Delivery Engineers on technical needs while you own customer outcomes end-to-end. MISSION Protect, renew, and expand Smartcat's enterprise and strategic customer base at scale — treating every renewal as a commercial motion and every account as an opportunity to multi-thread, uncover new stakeholders, and grow value. OUTCOMES Drive on-time gross renewals across your portfolio, identifying and addressing risk early through proactive stakeholder engagement and commercial positioning Generate expansion ARR within existing accounts through cross-sell, upsell, and adoption of new teams, departments, regions, and workflows (e.g., growing accounts from $20K → $80K+ ARR) Build and sustain multi-threaded relationships across business owners, functional leaders, procurement/finance, and VP/SVP/C-level executives — eliminating single-threaded risk Own an accurate renewal and expansion forecast, with clean CRM hygiene and early, clear risk escalation HOW YOU'LL RAMP By Day 30: Learn Smartcat's platform, AI/human-in-the-loop value story, and the full renewal lifecycle process Get up to speed on your ~35-account portfolio: renewal timing, current health, key stakeholders, and known risk signals Build working relationships with your Field Delivery Engineer partners and understand the cross-functional execution model By Day 60: Be running renewal conversations independently — from early risk identification through commercial positioning and negotiation Have multi-threaded at least a portion of your portfolio, identifying whitespace and expansion triggers in target accounts Maintain clean, forecast-ready CRM data and be calling renewal risk early and accurately By Day 90: Be fully accountable for on-time renewals and a predictable, accurate forecast across your full portfolio Have active expansion motions underway in multiple accounts, with credible, outcome-driven expansion narratives built Demonstrate consistent executive-level engagement (VP/SVP/C-level) across your book of business WHAT YOU'VE ACCOMPLISHED 3-5+ years in Account Management, Renewal Management, or Enterprise AM roles within high-growth SaaS A proven track record owning both renewals and expansion within existing accounts Experience managing large account portfolios (mid-market velocity, enterprise-level accounts) with strong commercial discipline Strong executive communication and negotiation skills, with experience selling into enterprise buying environments Comfort traveling and being onsite with customers A track record of operating with confidence, directness, and accountability — delivering uncomfortable truths and focusing on outcomes over activity Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Messaging Infra team is looking to hire a Senior Software Engineer who is excited to solve large scale streaming infrastructure and distributed messaging infrastructure problems. Reddit’s mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com. Our messaging layer receives 50+ millions of messages/second serving 100GB/s of network traffic. We do this while efficiently storing over a petabyte of live topic data across ~1k brokers. As a senior engineer, you will partner closely with your team and our biggest users (ML/AI/Search) to build technical solutions that can scale to Reddit’s product growth. You’ll do this while maintaining an extremely high availability and reliability bar to ensure that Reddit’s users continue to get a great experience across our entire product portfolio. In your day-to-day, you can expect to: Contribute to developing the team and organization’s long term technical strategy. Refine and maintain our messaging infrastructure to support the asynchronous communication of services supporting hundreds of millions of users. Own the infrastructure (managed and self-hosted) that supports produce and consume requests along with the necessary tooling and automation to efficiently operate the infrastructure. Who you might be: 5+ years of experience building internet-scale software, preferably with a focus on machine learning storage infrastructure. Software development experience in one or more general purpose programming languages; Golang, Python, C++, Java Experience working closely with technologies like Kafka, and Kubernetes. Strimzi is a huge plus! Hands-on experience implementing features, optimizations, and bug fixes to distributed messaging systems. Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product. Degree in Computer Science or equivalent technical field. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 — $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote, USA; San Francisco Bay Area, USA Workplace: Remote Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: Higgsfield is seeking an Associate General Counsel, Commercial (B2B & API) to serve as a senior commercial attorney and strategic business partner supporting our rapidly growing B2B sales and API business. Reporting to the General Counsel, you will join our commercial legal team as a hands-on senior attorney focused on customer-facing B2B and API agreements, partnering closely with Sales, Product, Engineering, Finance, and Security. You will negotiate and close enterprise SaaS and API-access deals end-to-end, and help build the playbooks and processes that let us close them faster as our B2B sales team and API business scale. This role requires an experienced commercial attorney who combines exceptional legal judgment with strong business acumen. You should be equally comfortable negotiating high volumes of enterprise and API agreements, advising sales and product teams on novel deal structures, and designing scalable legal processes that enable growth without sacrificing appropriate risk management. As our B2B and API business scales, you will play a critical role in shaping how Legal supports Sales and helps close deals faster. What you'll do: Lead Strategic Commercial Transactions - Draft, redline, and negotiate a high volume of customer-facing enterprise SaaS and API-access agreements, owning deals end-to-end with fast turnaround. - Structure and negotiate commercial arrangements involving API access, developer platforms, usage-based pricing, and other emerging AI products, partnering closely with Product and Engineering to align contract terms with how our products actually work. - Lead negotiations with our largest enterprise and API customers, finding workable solutions when customers push back on standard terms while balancing legal risk with business objectives. - Partner directly with Sales and GTM leadership to shorten deal cycles and accelerate revenue. - Provide practical, business-oriented guidance on complex legal issues in a rapidly evolving AI landscape. Advise Company Leadership - Counsel Sales, Product, and Security on legal considerations in customer deals relating to AI, enterprise software, data, intellectual property, and emerging regulations. - Act as a trusted advisor who proactively identifies legal risks and opportunities before they become business challenges. - Advise Product, Engineering, and GTM teams on legal considerations related to API products, developer ecosystems, AI model access, platform integrations, and evolving commercialization strategies. Build and Scale the Commercial Legal Function - Design and continuously improve scalable commercial contracting processes that support significant transaction volume without sacrificing quality. - Develop negotiation playbooks, contract templates, fallback positions, and sales-facing negotiation guidance for enterprise and API deals that empower the business while maintaining appropriate legal controls. - Partner with our Contract Management, Legal Operations, and Legal Systems teams to improve contracting workflows, deal tracking, and turnaround metrics. Drive Cross-Functional Partnership - Collaborate closely with Sales, Partnerships, Product, Security, Privacy, Finance, and Operations to enable efficient decision-making across the organization. - Translate complex legal issues into practical business recommendations for stakeholders at every level. - Support special projects, strategic initiatives, and other high-priority matters that arise in a hypergrowth environment. - Stay ahead of legal and regulatory developments impacting AI, enterprise software, APIs, data, and privacy, and reflect them in our customer terms. Requirements: - J.D. from an accredited law school and active membership in at least one U.S. state bar. - 10+ years of legal experience, with significant experience leading sophisticated commercial transactions for high-growth technology companies. - Significant in-house experience at a B2B or developer-focused technology company strongly preferred; law firm experience a plus but not required. - Demonstrated experience as a trusted legal partner to Sales, Product, and other senior business stakeholders. - Deep expertise negotiating sell-side enterprise SaaS agreements, including indemnities, limitations of liability, data terms, and other risk allocation. - Direct experience personally negotiating API-access or developer platform agreements with customers. - Experience supporting AI, cloud infrastructure, APIs, developer platforms, or other highly technical software products is strongly preferred. - Strong understanding of legal issues affecting AI, software, data, intellectual property, privacy, and emerging technologies. - Exceptional business judgment with the ability to provide practical, risk-balanced advice in ambiguous situations. - Proven ability to build scalable legal processes, improve operational efficiency, and support rapidly growing commercial organizations. - Comfortable with high deal volume, fast turnaround, and priorities that shift daily; able to hit the ground running with minimal ramp-up. - Outstanding drafting, negotiation, communication, and stakeholder management skills. - Highly collaborative, low ego, execution-oriented, and comfortable operating independently in a fast-paced, high-growth environment where priorities evolve quickly. - Ability and willingness to travel once per quarter, including two annual trips to San Francisco and two annual trips to Kazakhstan. - Experience with Ironclad or a similar CLM is a plus. Compensation & Benefits: - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $260,000 – $310,000, depending on experience, skills, scope, and location. - Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield AI’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a fully remote role based in the United States, with occasional business travel to our San Francisco office and Kazakhstan required for team meetings, planning sessions, company events, and other in-person collaboration. Team members are expected to be available during agreed working hours and maintain sufficient overlap with the relevant team’s time zone. While we work remotely, we value active communication, responsiveness, and close collaboration across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Customer Activation Managers at Ramp strive to deliver value to our customers and revenue for our business by implementing Ramp’s products for newly closed customers. You will have the opportunity to help build, lead, and refine Ramp’s Implementation organization and define the customer strategy that fuels our growth. This role combines strategy, operational leadership, and management of onboarding projects to ensure that new customers realize value from Ramp’s platform quickly and effectively. WHAT YOU'LL DO - Ensure fast, thorough, and complete onboarding of new Ramp customers by partnering with Commercial Account Managers to educate new customers on Ramp’s functionality and best practices - Work with new customers to deeply understand their current workflow, pain points, and obstacles to full rollout - Drive revenue for Ramp by ensuring there are no unnecessary delays in the implementation process and continuing to sell the customer on why implementing Ramp is a high-value initiative - Become an expert in the full range of integration and configuration options for Ramp’s suite of products - Partner closely with the product team to ensure customer feedback is reviewed and prioritized - Balance and own multiple priorities and tasks supporting implementation, follow-up, and proactive outreach - Participate in hiring decisions, including interviewing, selection, and onboarding of new team members. - Develop and maintain policies, procedures, and best practices for implementation processes and customer onboarding workflows. WHAT YOU NEED - Minimum 3 years of experience in customer success, account management, or product operations in a B2B organization - Exceptional project management and time management skills - Excellent verbal and written communication skills - Desire to learn the product inside out and understand why Ramp was built the way it was, and know how to communicate this effectively - Proven track record of exceeding quota and/or outperforming key target metrics - Ability to anticipate customers’ needs and position product solutions accordingly - High adaptability and ability to thrive in a fast-paced environment NICE TO HAVES - Bachelor’s degree from an accredited university - Experience with Accounting Software (e.g., Netsuite, QuickBooks, Xero, Sage) and/or Accounting (CPA) - Experience with financial services sales - Experience at a high-growth startup BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote ROLE OVERVIEW The Partnership Marketing Manager supports the Head of Partnership by structuring, marketing and scaling PrimeXBT affiliate, IB and partnership programs globally. This is a hands on operator role focused on systems, campaigns, partner communication, acquisition funnels and measurable partner activation. KEY RESPONSIBILITIES • Build clear processes for partner onboarding, activation, communication, campaign execution, reporting and performance follow up. • Create internal playbooks, templates, checklists and operating workflows so the partnership team can scale faster. • Manage partner facing communication across Telegram, WhatsApp, social media, email and other community channels. • Create campaign briefs, newsletters, announcements, promotional messages, educational content and partner updates. • Launch acquisition campaigns to generate new affiliates, IBs, influencers, community partners and regional business partners. • Build and optimize partner acquisition funnels including landing pages, lead forms, email sequences, Telegram flows and follow up processes. • Support partner events, expos, webinars and local activations with decks, messaging, booth materials, lead capture and post event follow up. • Produce partner enablement assets including banners, social kits, landing pages, product explainers, trading education and regional promotional materials. REQUIREMENTS • 3 to 5 years in marketing, affiliate marketing, partnership marketing, community management or growth marketing. • Experience in crypto, CFD, forex, trading, fintech, iGaming or affiliate driven industries. • Strong understanding of affiliates, Introducing Brokers, partner acquisition and partner activation funnels. • Proven ability to manage Telegram, WhatsApp, social media channels, community groups and partner communication. • Strong project management skills with the ability to coordinate multiple campaigns, regions, partners and internal stakeholders. • Excellent written English with the ability to create clear partner facing communication.

Location: Munich As a key member of the EMEA Revenue Leadership Team reporting directly to the Head of DACH, you will be the strategic leader responsible for shaping, executing, and driving all Enterprise go-to-market (GTM) activities across Germany, Austria and Switzerland. You will lead a high-performing, successful regional sales team that is currently delivering strong results across our key industry verticals, including Manufacturing, Financial Services, Public Sector, Technology/Media/Telecom (TMT), Professional Services (PS), and Retail and CPG. Partnering closely with leaders across Customer Success, Marketing, Sales Development and Channel, you will own the full-funnel GTM playbook across our  Enterprise customer segments. In this role, you will leverage your deep enterprise expertise to cultivate, nurture, and develop this high-growth revenue organization while expanding Asana's market presence throughout the region. This role is based in our Munich office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements What you’ll achieve Build a strong community of customers, partners, and employees across the DACH region. Develop and execute a comprehensive multi-year strategy for revenue growth and market penetration across our core industry verticals. Partner with Customer Success to build a tailored customer coverage model that drives both revenue growth and retention across all segments. Lead, inspire, and collaborate with sales and matrixed teams to establish and operationalize our playbook to fuel pipeline and customer growth. Hire, nurture, and develop top sales talent, intentionally building clear career paths and succession plans. Act as a senior executive representative for Asana with C-level customers, prospects, and media across the region. Create strong feedback loops with the Product team to influence product evolution based on deep customer insights. Evolve the Account Team Playbook to support enterprise growth, ensuring alignment across SDRs, Sales, Success, and Services. About you People Centric leader Proven experience managing dedicated Enterprise sales teams and successfully hitting revenue targets within an enterprise tech space. Deep background working within the Enterprise segment, showcasing a strong understanding of complex, high-value procurement and deployment cycles. Demonstrated experience leading and scaling high-performing Enterprise Sales teams across DACH and EMEA regions. Track record of navigating and capitalizing on a verticalized sales structure, with familiarity across segments such as Manufacturing, Financial Services, Public Sector, PS, or Retail/CPG. Proven capability to scale Sales organizations and drive consistent bookings, ARR, and customer growth across commercial and enterprise segments. Deep experience navigating and executing growth strategies within both product-led and sales-led business models. Operationally strong with the ability to independently build robust GTM, operating, and talent development plans. Intellectually curious, analytical, and naturally open-minded with a passion for solving complex regional challenges. A highly collaborative partner comfortable navigating cross-functional, matrixed environments alongside Product and Marketing teams. A low-ego leader who builds trust and influence through thoughtful communication and high-quality execution. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the On-Target Earnings (OTE) range is €255,000 - €300,000. The total OTE includes a base salary range of €140,250 - €165,000 and performance-based sales incentive pay (based on the terms of the Sales Incentive Plan). These ranges are a guideline; actual base salary and OTE may vary based on various factors, including market and individual qualifications objectively assessed during the interview process, and the ranges for this role may be modified. In addition, your compensation package may include additional components such as equity and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: United States; Canada Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're looking for a Staff Analyst, GTM Revenue to help our go-to-market leaders make sharper, faster decisions across revenue-critical motions. In this role, you'll partner across Sales, Customer Success, and adjacent customer-facing teams to turn complex data into practical insight, improve how teams operate, and identify where AI and automation can create real leverage.   This is a high-impact opportunity for an analytically rigorous operator who can move comfortably between deep analysis, business partnership, and hands-on execution. You'll help leaders understand what's working, where friction is slowing growth, and how to translate data into better decisions around pipeline, segmentation, productivity, retention, and overall GTM performance.   Mission Drive clearer, faster, and more scalable GTM decision-making by turning data into actionable insight, operational improvements, and AI-enabled workflows that improve revenue performance and customer outcomes.   The Role - Partner with GTM leaders to frame business questions, prioritize high-impact analyses, and translate findings into practical recommendations. - Build and maintain dashboards, reporting layers, and analytical workflows that give stakeholders clear visibility into performance across Sales, Customer Success, and related customer-facing motions. - Analyze pipeline health, segmentation, conversion, retention, and productivity trends to identify opportunities for growth, efficiency, and better resource allocation. - Develop forecasting, scenario-planning, and decision-support models that help leaders understand performance drivers and act with confidence. - Use SQL, Python, and modern analytics tooling to extract, shape, and analyze large datasets from multiple systems. - Identify repetitive or manual workflows that can be improved through automation or AI-assisted analysis, and help bring those solutions into day-to-day GTM operations. - Collaborate cross-functionally with partners in Finance, Operations, Systems, and customer-facing teams to ensure data definitions, reporting logic, and recommendations are aligned to business needs. - Present insights in a concise, executive-ready way, tailoring the level of detail to both technical and non-technical audiences.   Qualifications - 5+ years of experience in analytics, strategy & operations, revenue operations, business intelligence, or a similar role supporting go-to-market teams. - Advanced proficiency in SQL and Python, with strong judgment around how to use each for analysis, automation, and scalable reporting. - Strong experience building dashboards, analytical models, and KPI frameworks that influence business decisions. - Demonstrated success supporting Sales, Customer Success, Revenue Operations, or comparable GTM functions in a SaaS or other fast-moving technology environment. - Strong business acumen with the ability to connect data trends to customer, commercial, and operational outcomes. - Excellent communication skills, including the ability to simplify complex analysis and influence cross-functional stakeholders. - Proven ability to work independently in ambiguous environments, manage multiple priorities, and deliver high-quality work with speed and reliability.   Desirable - Experience applying AI or machine learning to business problems such as segmentation, prioritization, forecasting support, or workflow automation. - Familiarity with modern BI and visualization tools such as Looker, Tableau, or similar platforms. - Experience working in a high-growth, multi-motion SaaS business where GTM teams need both strategic insight and operational rigor. - Comfort partnering with senior leaders on ambiguous questions that require both analytical depth and strong business judgment. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We’re looking for a senior operator to own the quality bar behind Harvey’s human evaluations. As we scale globally, the volume of eval work is growing 10x, but volume only matters if the output is trusted. This role makes Human Data’s signal decision-grade: rigorous, calibrated, and reproducible enough that Product, Engineering, and AI Research act on it to ship. As a member of our Evaluation Operations team, you’ll work alongside our Evaluation Operations Manager (who runs throughput and coordination) and partner closely with Applied Legal Researchers, Product, Engineering, and AI Research. You'll set the standard for what "good" looks like across eval data and methodology, and own the data analyses to make conclusions that teams will rely on, building the stakeholder trust that lets EPD act on the signal. WHAT YOU'LL DO - Own the quality bar for Harvey’s human evaluations: define what “good” looks like for eval methodology and data analysis, and produce decision-grade outputs for EPD - Author and maintain the evaluation guidelines, instructions, and databases that contract attorneys work from - Standardize and streamline rubric and evaluation design into repeatable templates and one documented methodology, partnering with Applied Legal Research (ALR), who supplies feature-specific legal depth - Own contract-attorney quality: onboarding, calibration training, inter-rater reliability, and the feedback loop (including benchmarks and gold references) that keeps judgment consistent across attorneys and over time - Conducting quantitative and qualitative statistical analyses, diagnosing error states, investigating root causes, and turning raw eval results into a structured, prioritized signal Product and ALR can act on - Run QA on vendor and contract-attorney deliverables against a defined bar before results inform a launch decision - Ensure the quality bar holds across jurisdictions and non-English geographies as coverage expands - Establish one standard, documented way to analyze eval results, and build lightweight operational dashboards to track rater capability and eval-program health - Support ALR in a review step that certifies an evaluation is sound before it scales to contract attorneys - Partner with ALR and Analytics to determine where human eval aligns with online signal and where it can provide expanded insights WHAT YOU HAVE - 6+ years in product operations, research operations, evaluation/QA operations, or quality program management - A track record of owning quality inputs (guidelines, instructions, benchmarks, QA procedures) for complex, expert-driven or human-in-the-loop work - Experience onboarding, training, and calibrating a distributed pool of expert raters, annotators, or reviewers, and running the feedback loop that improves their quality over time - Enough grounding in measurement concepts (calibration, inter-rater reliability, sampling, rubric design) to independently set up and own the quality of our evaluation loop yourself - Experience with running quantitative and qualitative data analyses, interpreting and running statistical tests on evaluation data (natively or with AI tool support), and communicating conclusions to various stakeholders - A record of scaling and streamlining evaluation quality processes under shipping pressure, with a bias toward documentation and reproducibility over one-off analysis - Ability to work deeply with domain experts (e.g., ALR / lawyers) and translate nuanced judgment into repeatable, documented standards - Strong cross-functional coordination across Product, Engineering, Research, ALR, and data providers/vendors - Clear communicator who can build credibility and trust with stakeholders - Bias to action and high ownership, from writing the guideline to auditing a vendor batch line by line BONUS POINTS - Experience in legal tech or working with domain experts in regulated industries - Experience owning quality across multiple markets, languages, or jurisdictions - Built calibration, inter-rater reliability, or capability-tracking systems for annotation or evaluation pipelines - Experience transitioning evaluation work in-house or otherwise improving evaluation ROI - Familiarity with LLM-as-judge / automated evaluation used alongside human eval - Early employee at a hyper-growth startup, or experience at a world-class product or platform operations org COMPENSATION $155,400 - $233,200 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-CD1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Program Manager for the Legal Engineering organization, you will be joining Harvey's Legal Engineering organization to drive the operational infrastructure that enables one of the company's fastest-growing GTM functions to scale effectively. The Legal Engineering team partners directly with the world's leading law firms and professional services providers to deploy AI-powered solutions, and this role ensures that the programs, processes, and systems underpinning the team operate with rigor and consistency. You will partner with Legal Engineering managers, Sales Operations, Product, and leadership to translate strategic priorities into executable programs that drive measurable outcomes. It is a rare opportunity to build program management from the ground up within a high-growth function at the intersection of AI and legal services. WHAT YOU'LL DO - Design and execute end-to-end programs that support the Legal Engineering team's operational rhythm. - Build and maintain the processes, tooling, and documentation that enable Legal Engineering managers to operate consistently across regions (US, EMEA, APAC). - Drive change management initiatives as the Legal Engineering organization scales, ensuring smooth adoption of new processes and tools. WHAT YOU HAVE - 4–7 years of experience in program management, operations, or enablement within a high-growth technology or professional services environment. - Demonstrated ability to design and deliver cross-functional programs from concept through execution, managing multiple stakeholders and competing priorities. - Strong communication and facilitation skills with the ability to influence without authority across a distributed organization. - Experience with change management, process design, and operational scaling in fast-paced environments. - Comfort with ambiguity and a bias toward action—able to build structure where none exists and iterate quickly. - Familiarity with GTM functions, legal technology, or AI products is a strong plus. COMPENSATION $155,100-$232,700 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LS1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Americas Remote Hi, I'm Paul, VP of Engineering at Customer.io . We're always looking for thoughtful, driven Engineering Managers to add to our org. Some of our teams are building customer-facing product and workflows; others keep our distributed systems reliable, observable, and ready to scale. Whichever kind of problem energizes you, if you lead people well, hold a high technical bar, and drive work to completion without waiting to be handed a plan, we want to hear from you. About Customer.io Over 9,000 companies—from scrappy startups to global brands—use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data—what people do or don't do inside a web or mobile app. Under the hood: Go, React, and AI help us ship fast and scale with confidence. What we value Ownership. You set direction and see initiatives through. You create clarity when things are murky and set the path forward rather than waiting for one to be defined, and you're motivated by impact—not just intention. You hold yourself and your team accountable to shipping, not just staying busy. Leaders who can do both. You operate at the strategic level and stay close to the technical work. You can align stakeholders on a plan and earn your engineers' respect in the same day—you don't choose between vision and execution, you hold both. A drive to execute through resistance. Competing priorities, skeptical stakeholders, tired teams—you've moved work forward anyway. You name the resistance, make the call, and own the milestones and the misses. An AI-first mindset. AI is central to how you build and how you lead your team to build. You have a real, concrete point of view on AI-native development, you use agentic tooling yourself, and you bring it into how your squad operates. A healthy skepticism for "the way things are done." You bring rigor and pragmatism. Best practices matter—but never more than forward motion. You know when to build, when to buy, and when to wait—and you're comfortable making the call with incomplete information, then adjusting as you learn. What you'll do Care deeply about our customers and their outcomes Lead your squad to deliver real customer value by owning projects end to end—from planning through delivery, quality, and follow-through Drive execution: set milestones, keep work moving through ambiguity and competing priorities, and ship in small, observable increments rather than waiting for a release window Make confident decisions when the path isn't obvious, and lead your team through them Set the operating rhythm that helps your team move fastest, rather than defaulting to ceremony for its own sake Ensure your squad's solutions are scalable, architecturally sound, flexible, and secure, with strong peer-review, QA, documentation, deployment, logging, and monitoring practices Stay close to the work—jump into design reviews, architecture calls, and incidents rather than watching from a distance Provide direct, timely, and specific coaching, and create meaningful development opportunities for your direct reports Participate in an on-call rotation as required, supporting the reliability of the systems you build Hire, onboard, and manage performance so the right people are in place to hit your squad's goals Bring an AI-native perspective—use AI tools to accelerate the team's velocity and help everyone prototype faster and ship smarter Partner across engineering and other departments to align efforts with customer success, and reach higher when our customers are having a bad day What we're looking for 3+ years managing engineers at a SaaS company (B2B or B2C), ideally early-to-mid-stage A track record of driving execution—concrete delivery outcomes with milestones, dates, and "I drove" ownership, especially in complex or fast-moving environments A strong technical background—you can hold your own in architecture conversations and design reviews, represent your squad's technical choices across the company, and you've shipped real work recently enough to stay credible Comfort operating with high autonomy and little prescribed structure—you create your own clarity and make difficult tradeoffs between competing priorities Demonstrated AI-native leadership—not just personal fluency, but bringing AI-first practices into how your team builds Experience building high-performing, inclusive, and collaborative teams Clear, concise, and direct communication, both verbal and written Compensation & Benefits We believe in transparency. Starting salary for this role is $185,000-$215,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family . We also offer 16 weeks paid parental leave , unlimited PTO , stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. Application - We review everyone with care. Recruiter Call (30 mins) - Let's chat about what you're looking for, your leadership style, and how we work. Hiring Manager Interview (60 mins) - Deep dive into your experience leading teams, your technical philosophy, and how you think about building organizations. People Partner Interview (30 mins) - Explore your leadership style, management philosophy, and approach to supporting high-performing teams with our engineering people partner. Technical Interview (60 mins) - Engage in a collaborative system design conversation focused on scaling challenges. Take-Home Assignment - Submit a short written retrospective on a project you’ve led as an Engineering Manager. Retrospective Review Call (60 mins) - We’ll use your written submission as the foundation for a deeper conversation. All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Location: Latvia Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.   WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Türkiye Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.   WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Armenia Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders. WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Romania Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.   WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Dublin, Ireland WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: This early-career Notino Experience Program Manager role is for a builder who thrives in ambiguity and turns it into momentum. You’ll wear many hats across the People team, but your core job is to jump in, chart the path, and drive high-impact projects based on business priorities—bringing clarity, aligning cross-functional partners, and executing quickly so the team can deliver meaningful employee experiences across EMEA and APAC. You’ll succeed here if you’re deeply curious, eager to grow, and excited to hone your craft in People. This is a launchpad opportunity to learn from strong leaders, build expertise across the full spectrum of People work, and help shape moments that matter—bringing energy, optimism, and genuine care for people while helping build a workplace where everyone can do the best work of their careers. As the regional anchor for how Notion’s global people & environment programs come to life outside the U.S., you’ll sit at the intersection of global vision and local execution. Based in Dublin and reporting to the Notino Experience & Environment Lead for APAC & EMEA, you’ll partner closely with the Global Experience Programs team in AMER and environment teams across Dublin, Sydney, Tokyo, Seoul, and Hyderabad—translating global programs into locally relevant, high-quality experiences and building the operational infrastructure to deliver them consistently at scale. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Own regional program operations. Take end-to-end ownership of key people programs across EMEA and APAC — from onboarding and performance cycles to engagement surveys and talent retention initiatives. You'll research, plan, launch, and iterate. - Bridge global and local. Act as the connective layer between the Global Experience Programs team and on-the-ground environment teams. You'll translate global frameworks into locally relevant experiences. - Build the infrastructure. Create processes, playbooks, and agents that make local execution easier and more consistent across markets. Think onboarding workflows, program calendars, and repeatable delivery frameworks. - Elevate Affinity Groups. Partner with Affinity Group leads across the region to strengthen their programmes, provide operational support, and help surface retention and engagement insights from within those communities. - Use data to drive decisions. Build and maintain dashboards that track program health, adoption, and outcomes. Use what you learn to run experiments, course-correct quickly, and demonstrate ROI. - Partner cross-functionally. Work closely with People Partners, NoE , Recruitment and business leaders to align people programs with organisational goals and ensure an inclusive, well-supported employee experience. - Champion the Notion Experience. Help craft and bring to life a more distinct Notino Experience brand across EMEA and APAC — reimagining how we work, how we connect, and what it feels like to be a Notino in your region. SKILLS YOU'LL NEED TO BRING: - Programatic: experience running people programs end-to-end, across multiple markets & time zones. - AI-native mindset: you’re “AI‑pilled” in the best way: you proactively use AI tools to speed up research, ops, and communication, and you’re excited to build AI agents/playbooks. - Project management: strong skills and the ability to hold many moving pieces. - Stakeholder trust: you build trust naturally across levels, from team members to executive partners. - Bias toward action: you’re resourceful, scrappy when needed, and energised by a fast-moving environment. - Change management: experience driving change at a high-growth company — you know how to bring people along, not just roll things out. - Executive presence: you’re comfortable presenting to and partnering with senior leaders. NICE TO HAVES: - Familiarity with or enthusiasm for Notion - Experience working across APAC and EMEA markets, with an understanding of cultural nuance in employee experience. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €45,000 - €70,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Tallinn, Estonia 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. Role Summary: As a Frontend Engineer at Sensor Tower, you will not only build features, you will define how we build them. You will take ownership of major technical components, ensuring our applications are scalable, maintainable, and fast. In our lean and flat organization, your voice will shape the technical direction of our product, helping us deliver an intuitive, fluid user experience that helps our customers understand the digital ecosystem.   Fulfill your potential with us: - Architect and deliver complex, scalable frontend systems that are simple and effective, removing unnecessary complexity from our codebase. - You will partner with Product Managers to co-author requirements and shape the scope, ensuring engineering feasibility is considered during ideation, not just execution. - Lead technical decision-making for medium-to-large scoped features, taking responsibility for the successful delivery of value to the customer, not just the completion of tickets. - Mentor junior and mid-level engineers through code reviews, pair programming, and by instilling quality-first habits across the team. - Take ownership of the frontend stack by proactively identifying bottlenecks, technical debt, or systemic issues and driving the initiatives to fix them. - Advocate for and drive best practices in React, TypeScript, and web performance optimization across the engineering organization. - Collaborate deeply with Data Science and Backend Engineers to ensure seamless data flow and end-to-end system reliability, and use these partnerships to progressively expand your expertise across the full stack.   What we are interested in:   - 4+ years of software engineering experience with a deep specialization in modern JavaScript, TypeScript, and React. - Proven ability to architect complex state management. While our stack relies on TanStack Query, React Router and Zustand, we value engineers who understand the principles and can adapt expertise from other libraries like Redux, MobX, NextJS. - You can design systems that handle complexity without becoming complicated, prioritizing long-term maintainability. - Experience elevating the skills of peers. You don't just review their code; you teach patterns and best practices. - Competence in writing robust and efficient unit and integration tests using frameworks like Jest or Playwright. - Deep understanding of web performance, browser internals, and optimization techniques for data-heavy applications. - A "Product Owner" mindset. You care deeply about the "why" behind every feature, viewing code as a tool to solve real user problems. You are comfortable pushing back on requirements and proposing alternative solutions that drive better business outcomes and user experiences.   Extra Credit:   - Experience in data visualization and analytics (handling large datasets, heavy DOM manipulation with libraries like Highcharts). - A portfolio, GitHub history, or technical writing that demonstrates clean code, an eye for design, and the ability to solve complex architectural challenges. - Familiarity with back end frameworks Ruby on Rails/Angular and different types of DBs (Clickhouse, Mongo, Postgres) - Knowledge of AI-driven coding tools and models as we encourage leveraging AI to enhance coding efficiency and unlock creative potential   Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers     About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.   Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.   Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Global Teams Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. Our benefits include: - Flexible time off so employees can shape their time away from work. - Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness. - Wi-Fi Allowance. - Monthly internet stipend and a one-time $500 home office stipend.   We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. 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: 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. Role Summary: As a Frontend Engineer at Sensor Tower, you will not only build features, you will define how we build them. You will take ownership of major technical components, ensuring our applications are scalable, maintainable, and fast. In our lean and flat organization, your voice will shape the technical direction of our product, helping us deliver an intuitive, fluid user experience that helps our customers understand the digital ecosystem.   Fulfill your potential with us: - Architect and deliver complex, scalable frontend systems that are simple and effective, removing unnecessary complexity from our codebase. - You will partner with Product Managers to co-author requirements and shape the scope, ensuring engineering feasibility is considered during ideation, not just execution. - Lead technical decision-making for medium-to-large scoped features, taking responsibility for the successful delivery of value to the customer, not just the completion of tickets. - Mentor junior and mid-level engineers through code reviews, pair programming, and by instilling quality-first habits across the team. - Take ownership of the frontend stack by proactively identifying bottlenecks, technical debt, or systemic issues and driving the initiatives to fix them. - Advocate for and drive best practices in React, TypeScript, and web performance optimization across the engineering organization. - Collaborate deeply with Data Science and Backend Engineers to ensure seamless data flow and end-to-end system reliability, and use these partnerships to progressively expand your expertise across the full stack.   What we are interested in:   - 4+ years of software engineering experience with a deep specialization in modern JavaScript, TypeScript, and React. - Proven ability to architect complex state management. While our stack relies on TanStack Query, React Router and Zustand, we value engineers who understand the principles and can adapt expertise from other libraries like Redux, MobX, NextJS. - You can design systems that handle complexity without becoming complicated, prioritizing long-term maintainability. - Experience elevating the skills of peers. You don't just review their code; you teach patterns and best practices. - Competence in writing robust and efficient unit and integration tests using frameworks like Jest or Playwright. - Deep understanding of web performance, browser internals, and optimization techniques for data-heavy applications. - A "Product Owner" mindset. You care deeply about the "why" behind every feature, viewing code as a tool to solve real user problems. You are comfortable pushing back on requirements and proposing alternative solutions that drive better business outcomes and user experiences.   Extra Credit:   - Experience in data visualization and analytics (handling large datasets, heavy DOM manipulation with libraries like Highcharts). - A portfolio, GitHub history, or technical writing that demonstrates clean code, an eye for design, and the ability to solve complex architectural challenges. - Familiarity with back end frameworks Ruby on Rails/Angular and different types of DBs (Clickhouse, Mongo, Postgres) - Knowledge of AI-driven coding tools and models as we encourage leveraging AI to enhance coding efficiency and unlock creative potential   Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers     About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.   Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.   Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Global Teams Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. Our benefits include: - Flexible time off so employees can shape their time away from work. - Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness. - Monthly internet stipend and a one-time $500 home office stipend.   We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. 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: Lisbon, Portugal Workplace: Remote 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. Role Summary: As a Frontend Engineer at Sensor Tower, you will not only build features, you will define how we build them. You will take ownership of major technical components, ensuring our applications are scalable, maintainable, and fast. In our lean and flat organization, your voice will shape the technical direction of our product, helping us deliver an intuitive, fluid user experience that helps our customers understand the digital ecosystem.   Fulfill your potential with us: - Architect and deliver complex, scalable frontend systems that are simple and effective, removing unnecessary complexity from our codebase. - You will partner with Product Managers to co-author requirements and shape the scope, ensuring engineering feasibility is considered during ideation, not just execution. - Lead technical decision-making for medium-to-large scoped features, taking responsibility for the successful delivery of value to the customer, not just the completion of tickets. - Mentor junior and mid-level engineers through code reviews, pair programming, and by instilling quality-first habits across the team. - Take ownership of the frontend stack by proactively identifying bottlenecks, technical debt, or systemic issues and driving the initiatives to fix them. - Advocate for and drive best practices in React, TypeScript, and web performance optimization across the engineering organization. - Collaborate deeply with Data Science and Backend Engineers to ensure seamless data flow and end-to-end system reliability, and use these partnerships to progressively expand your expertise across the full stack.   What we are interested in:   - 4+ years of software engineering experience with a deep specialization in modern JavaScript, TypeScript, and React. - Proven ability to architect complex state management. While our stack relies on TanStack Query, React Router and Zustand, we value engineers who understand the principles and can adapt expertise from other libraries like Redux, MobX, NextJS. - You can design systems that handle complexity without becoming complicated, prioritizing long-term maintainability. - Experience elevating the skills of peers. You don't just review their code; you teach patterns and best practices. - Competence in writing robust and efficient unit and integration tests using frameworks like Jest or Playwright. - Deep understanding of web performance, browser internals, and optimization techniques for data-heavy applications. - A "Product Owner" mindset. You care deeply about the "why" behind every feature, viewing code as a tool to solve real user problems. You are comfortable pushing back on requirements and proposing alternative solutions that drive better business outcomes and user experiences.   Extra Credit:   - Experience in data visualization and analytics (handling large datasets, heavy DOM manipulation with libraries like Highcharts). - A portfolio, GitHub history, or technical writing that demonstrates clean code, an eye for design, and the ability to solve complex architectural challenges. - Familiarity with back end frameworks Ruby on Rails/Angular and different types of DBs (Clickhouse, Mongo, Postgres) - Knowledge of AI-driven coding tools and models as we encourage leveraging AI to enhance coding efficiency and unlock creative potential   Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers     About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.   Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.   Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Global Teams Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver.   We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.   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.