
Yubo · Full Remote
WHO WE ARE Yubo is the Social Discovery app to make new friends and hang out online. By eliminating likes and follows, we empower our users to create genuine...
Yubo is the Social Discovery app to make new friends and hang out online. By eliminating likes and follows, we empower our users
to create genuine connections and show up as their true selves.
We've pioneered a new way for Gen Z to socialize online, and with millions of active users, our goal is to redefine how we connect
today and tomorrow.
Our team is international, multicultural and deeply committed to its mission. As the leading platform to socialize online, we have
a special responsibility to build a safe digital space for our community. Safety is embedded in our DNA, and our proactive
approach focuses on user protection, support, and education. We also work closely with the broader technology industry to share
our knowledge and NGOs create industry-leading child protection standards.
Join us in this exciting journey and help us shape the future of social interactions!
As Yubo continues to scale, Machine Learning is becoming a core production layer, powering critical systems across safety,
recommendations, and product optimization.
What makes this role unique is both the scale and diversity of our data, and the level of maturity we are aiming to reach.
We process massive volumes of images, text, and real-time user interactions, across millions of users worldwide, creating a wide
At the same time, our current ML stack is still evolving.
Legacy models are not fully integrated into pipelines, lifecycle management remains inconsistent, and our approach can sometimes
resemble "develop, deploy, and forget."
As ML usage expands across the company, this creates increasing complexity and dependency on reliable, well-structured systems.
There is still a huge amount of untapped potential, with many ML use cases yet to be designed, tested, and scaled. Unlocking it
requires continuously improving the reliability, scalability, and maturity of our ML systems and workflows.
We are therefore looking for a Senior ML Engineer to join our Platform Engineering team, reporting directly to Mikael (Head of
Platform Engineering).
You will play a key role in delivering ML initiatives across the company, helping turn promising ideas into reliable production
systems. You'll work on everything from model development and experimentation to deployment, monitoring, and continuous
improvement, while contributing to the evolution of our ML platform and engineering practices.
As part of your role, you may handle tools and features involving personal data. We expect all employees to demonstrate strong
awareness of privacy and safety issues, and to actively support our Privacy & Safety by Design efforts.
Join Yubo and help shape the future of Social Discovery while enjoying a culture that values flexibility, well-being, and impact.
You own the impact: Step up, adapt, and make it matter
Unconventionally Smart: Hack with intent, borrow smart, build better
Be Bold & Resilient: Raise your head, break barriers, keep moving forward
One team, one mission: No egos, no passengers, just shared wins
Trust & Flexibility: Our hybrid model calls for only two office days a month; the rest is up to the rhythm that works best for
you.
Enjoy Top-notch Benefits
Cool Workplace: enjoy our amazing Parisian office and our many hybrid work options
Team Activities: participate in get-togethers, events, and team-building activities
Family-Friendly: we support parents with childcare options and family-friendly policies
Wellness Programs: benefit from comprehensive health insurance, wellness programs, sports classes, and mental well-being
initiatives
WHO WE ARE Yubo is the Social Discovery app to make new friends and hang out online. By eliminating likes and follows, we empower our users to create genuine connections and show up as their true selves. We've pioneered a new way for Gen Z to socialize online, and with millions of active users, our goal is to redefine how we connect today and tomorrow. Our team is international, multicultural and deeply committed to its mission. As the leading platform to socialize online, we have a special responsibility to build a safe digital space for our community. Safety is embedded in our DNA, and our proactive approach focuses on user protection, support, and education. We also work closely with the broader technology industry to share our knowledge and NGOs create industry-leading child protection standards. Join us in this exciting journey and help us shape the future of social interactions! ABOUT THIS ROLE At Yubo, Product Managers don't just manage roadmaps. They help define how millions of people discover, connect, and meet new people without the pressure: no expectations, no predefined outcomes, just the freedom to explore new connections online. We're looking for a Senior Product Manager to join our Product team and help shape the future of Social Discovery. Someone who can identify opportunities, create clarity in ambiguity, and turn insights into measurable impact. You'll join one of our product squads and take ownership of a strategic product area. This could mean improving recommendations, exploring new product experiences, scaling monetization, strengthening safety, or leveraging AI to unlock new ways for people to discover, connect, and meet others. What makes this role particularly exciting is the combination of scale, complexity, and impact. Millions of people use Yubo, and every conversation, livestream, friendship, purchase and interaction generates signal at scale. You'll work with Engineering, Design, Data, Safety, Marketing and Machine Learning to turn those signals into better experiences. This role is ideal for someone who enjoys balancing strategic thinking with hands-on execution, and who wants to have a direct impact on engagement, retention, recommendation quality, safety, monetization, and the future of Social Discovery. Like what you're reading already? I think you'll enjoy what follows. YOUR RESPONSIBILITIES * Define a clear product strategy for your squad and translate company objectives into measurable outcomes * Own your squad roadmap and continuously prioritize the highest-impact opportunities for users and the business * Lead Discovery & Experimentation: Use user insights, data, and market signals to identify opportunities, run experiments, measure impact, and inform product decisions. * Partner closely with Engineering, Design, Data, Machine Learning, Marketing, Operations, and Trust & Safety teams * Drive product initiatives end-to-end, from problem framing and discovery to launch and post-release analysis * Balance user experience, business objectives, technical constraints, and long-term platform health * Create alignment across stakeholders and lead without direct authority through clear communication and structured decision-making * Continuously improve how your squad operates, learns, and delivers value TOOLS WE USE * Amplitude, SQL, Looker * Figma * Notion * Slack * Enterpret * AI tooling: Claude Code, ChatGPT Codex, Dust WHO YOU ARE * You have 5+ years of experience as a Product Manager, ideally in a startup or scale-up environment * You have worked on consumer, social, mobile, gaming, marketplace, or subscription-based products * You have strong product strategy and roadmap ownership experience * You have the conviction to defend a strong product point of view and make bold calls * You are comfortable moving between discovery, execution, analytics, and stakeholder management * You know how to define meaningful success metrics and evaluate product performance through data * You have experience collaborating closely with Data, Machine Learning, and Engineering teams * You have strong product intuition combined with analytical rigor * You are comfortable making decisions with imperfect information * You communicate clearly and know how to align stakeholders around difficult trade-offs * You know how to balance user value and business outcomes * You're excited by fast-moving environments where priorities evolve and opportunities emerge quickly WITHIN A MONTH, YOU WILL * Get familiar with Yubo's product, users, business model, and company objectives * Build strong relationships with your squad and key stakeholders across Product, Engineering, Design, Data, ML, and Leadership * Understand the main product metrics, experimentation framework, and current roadmap * Learn how Yubo combines user insights, research, and analytics to drive product decisions * Start contributing to product discussions and discovery work WITHIN 6 MONTHS, YOU WILL * Own your squad's roadmap and key initiatives from discovery to delivery * Launch experiments that generate measurable impact on your squad's objectives * Improve one or more key product outcomes such as retention, engagement, recommendation quality, monetization, or trust * Build strong cross-functional relationships and become a trusted partner for your squad * Establish yourself as a key contributor to product strategy and decision-making across your domain * Help raise the bar on product thinking, experimentation, and execution across the Product organization THE RECRUITMENT PROCESS * Phone screen with Anita, Talent Acquisition * First interview with Sacha, our CEO * Product case study and debrief with Product Managers * Cultural fit assessments * And if everything went well, an offer! WHAT WE OFFER * A highly competitive salary range as well as equity in the company * A highly flexible remote work policy, 2 days at the office per month, with monthly team events. * We also cover fees for external professional events and meetups (Android Makers, etc…) * Great health insurance coverage for both you and your family by Alan, fully paid for by Yubo ! * Numerous benefits for parents: additional parental leave, easy access to nurseries and daycare facilities in France. OUR APPROACH TO PRIVACY & SAFETY As part of your role, you may handle tools and features involving personal data. We expect all employees to demonstrate strong awareness of privacy and safety issues, and to actively support our Privacy & Safety by Design efforts. Join Yubo and help shape the future of Social Discovery while enjoying a culture that values flexibility, well-being, and impact. Here’s how we live our mission every day: You own the impact: Step up, adapt, and make it matter Unconventionally Smart: Hack with intent, borrow smart, build better Be Bold & Resilient: Raise your head, break barriers, keep moving forward One team, one mission: No egos, no passengers, just shared wins Trust & Flexibility: Our hybrid model calls for only two office days a month; the rest is up to the rhythm that works best for you. Enjoy Top-notch Benefits Culture is central at Yubo, hence the numerous benefits: Cool Workplace: enjoy our amazing Parisian office and our many hybrid work options Team Activities: participate in get-togethers, events, and team-building activities Family-Friendly: we support parents with childcare options and family-friendly policies Wellness Programs: benefit from comprehensive health insurance, wellness programs, sports classes, and mental well-being initiatives
WHO WE ARE Yubo is the Social Discovery app to make new friends and hang out online. By eliminating likes and follows, we empower our users to create genuine connections and show up as their true selves. We've pioneered a new way for Gen Z to socialize online, and with millions of active users, our goal is to redefine how we connect today and tomorrow. Our team is international, multicultural and deeply committed to its mission. As the leading platform to socialize online, we have a special responsibility to build a safe digital space for our community. Safety is embedded in our DNA, and our proactive approach focuses on user protection, support, and education. We also work closely with the broader technology industry to share our knowledge and NGOs create industry-leading child protection standards. Join us in this exciting journey and help us shape the future of social interactions! ABOUT THIS ROLE As Yubo continues to scale and roll out its 2026 Tech organization, we’re launching a brand new Innovate squad focused on bold product bets and high-risk initiatives. This squad’s mission? Make big bets, test ambitious features, and validate them through continuous experimentation. We’re looking for a Senior Backend Engineer to join our Backend Experience team, reporting directly to Armand (Engineering Manager). You will be embedded in a multi-disciplinary squad (Product, Mobile, Design, Data) alongside one Senior Backend Engineer, co-lead of the squad. Your role? Design, ship, and operate high-risk backend experiments that validate bold product bets, while keeping systems resilient, scalable, and cost-efficient within a fast iteration cycle. This is not a “maintenance” role. It’s about building, testing, rolling back, iterating and learning fast. YOUR RESPONSIBILITIES EXPERIMENTS & PRODUCT BETS * Design and deliver backend capabilities from specs to production rollout/rollback. * Define and instrument success metrics with cross-functional partners. * Iterate quickly based on experiment results (KPIs, dashboards, quantitative signals). ARCHITECTURE & OPERABILITY * Build resilient, scalable, and cost-efficient systems adapted to high-risk experimentation. * Diagnose and fix complex production issues using logs, metrics, and observability tools. * Anticipate operational impact (deployment, rollback, monitoring, cost). STANDARDS & KNOWLEDGE SHARING * Strengthen team-level best practices and reusable patterns. * Contribute to documentation, RFCs, and internal usability of squad-owned systems. * Mentor peers through code reviews and pairing (mentorship is a plus, not mandatory). OUR TECHNICAL ENVIRONMENT / TOOLS WE USE * Backend: Node.js & TypeScript * Architecture: Event-driven systems (Kafka, RabbitMQ, NATS) * Databases: NoSQL, key-value stores, relational databases * Observability: Datadog, Grafana * Practices: RFC processes, technical specs, structured decision-making WHO YOU ARE * You have 5+ years of backend experience, ideally in startup/scale-up environments. * You are proficient in Node.js and TypeScript. * You have solid experience designing APIs (performance, security, observability). * You have worked with event-driven systems (Kafka, RabbitMQ, NATS). * You apply strong engineering best practices (testing, code quality, resilience). * You have a product mindset and enjoy collaborating closely with Product. * You communicate clearly and can explain complex technical topics to non-technical stakeholders. * You are comfortable working in English in an international environment. Nice to have: * Experience in scalable architecture design. * Experience mentoring peers. * Familiarity with RFC-style structured decision-making. IN YOUR FIRST 6 MONTHS, YOU WILL * Ship at least one high-risk, country-scoped backend experiment end-to-end, including safe rollout/rollback and measurable success metrics * Establish lightweight, reusable experimentation patterns (instrumentation, dashboards, operability guardrails). * Improve one systemic area revealed by experiments (reliability, performance, or internal usability) and drive measurable impact * Increase the squad’s ability to test bold ideas without compromising platform stability. THE RECRUITMENT PROCESS * Phone screen with a Talent Acquisition Manager * Interview with Armand (Engineering Manager) * Technical test (home assignment + debrief & system design) * Cultural Fit Assessments WHAT WE OFFER * A highly competitive salary range as well as equity in the company * A highly flexible remote work policy, 2 days at the office per month, with monthly team events. * We also cover fees for external professional events and meetups (Android Makers, etc…) * Great health insurance coverage for both you and your family by Alan, fully paid for by Yubo ! * Numerous benefits for parents: additional parental leave, easy access to nurseries and daycare facilities in France. OUR APPROACH TO PRIVACY & SAFETY As part of your role, you may handle tools and features involving personal data. We expect all employees to demonstrate strong awareness of privacy and safety issues, and to actively support our Privacy & Safety by Design efforts. Join Yubo and help shape the future of Social Discovery while enjoying a culture that values flexibility, well-being, and impact. Here’s how we live our mission every day: You own the impact: Step up, adapt, and make it matter Unconventionally Smart: Hack with intent, borrow smart, build better Be Bold & Resilient: Raise your head, break barriers, keep moving forward One team, one mission: No egos, no passengers, just shared wins Trust & Flexibility: Our hybrid model calls for only two office days a month; the rest is up to the rhythm that works best for you. Enjoy Top-notch Benefits Culture is central at Yubo, hence the numerous benefits: Cool Workplace: enjoy our amazing Parisian office and our many hybrid work options Team Activities: participate in get-togethers, events, and team-building activities Family-Friendly: we support parents with childcare options and family-friendly policies Wellness Programs: benefit from comprehensive health insurance, wellness programs, sports classes, and mental well-being initiatives
Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior ML Engineer, you'll play a central role in building the data science behind the products — from framing new fraud, risk, and intelligence problems, to designing and deploying ML models at scale, to helping our enterprise customers and go-to-market teams understand and act on the insights we generate. What you’ll do: * Design, build, and continuously improve the ML models that power our risk and intelligence products, and take ownership of new signals as they get scoped. * Take a loosely defined business or customer problem and break it into a clear data problem, articulating value, impact, and complexity before proposing a solution. * Build anomaly detection, fraud, and risk-modeling approaches — including network/graph-based methods — that keep our signals accurate and resistant to adversarial behaviour. * Own model development, deployment, and monitoring end-to-end, partnering with ML/data engineers on scalability, reliability, cost, and dashboards/alerting. * Design and run experiments (A/B tests, offline customer POCs) to validate new signals before they roll into production. * Manage and analyse large, multi-country datasets, ensuring data integrity, consistency, and compliance throughout. * Partner cross-functionally with Product, Engineering, Legal, and GTM/Sales to scope, prioritise, and ship data products on time, acting as a trusted advisor on what the data can and can't responsibly support. What you bring in: * 5+ years of experience designing, building, and deploying ML models at scale, ideally including risk/fraud, propensity, or behavioural/network scoring use cases. * Strong grounding in applied machine learning: classification, anomaly detection, propensity/scoring models, clustering, and time-series/drift monitoring. * Exposure to graph-based analysis or graph ML (network embeddings, community detection, link prediction) is a plus. * Hands-on experience taking models from research/experimentation into production — comfortable owning scalability, reliability, and monitoring, not just model accuracy. * Working knowledge of NLP and LLM-based techniques (prompting, summarisation, fine-tuning) — useful for customer-facing AI insights and on-device text/SMS signal extraction. * Proficiency in Python and the ML/data stack: Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch; comfortable with Hugging Face Transformers where relevant. * Strong SQL skills and experience with large-scale data processing (BigQuery, Spark/PySpark, Hive/Kafka ecosystem). * Familiarity with database modelling and data warehousing principles. * Ability to design, run, and interpret experiments and statistical tests to validate model and business impact. * Strong communication skills — able to explain model output and trade-offs to both engineering peers and non-technical enterprise stakeholders. * Comfort operating with a strong privacy/compliance mindset — Truecaller's data products are built on abstracted, privacy-safe signals, and you'll need to reason carefully about what can and can't be derived or stored. It would be great if you also have: * Experience with graph databases (e.g. Neo4j) or large-scale graph processing frameworks. * Experience with ML lifecycle tools (Kubeflow, MLflow) and on-device/edge ML deployment. * Familiarity with Google Cloud Platform (GCP) and BigQuery. * Prior experience in fraud/risk scoring, credit/alternate-data, or contact-centre/dialer analytics domains. * Experience working with data resellers, credit bureaus, or enterprise data partners on integrating and explaining model output. What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: * A comprehensive compensation package: Learning and development allowance, voluntary provident fund (VPF) and/or national pension scheme (NPS) tax saving option provided, creche allowance * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 days each quarter, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.