
Pinterest · Seattle
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will...
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for
memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love,
and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s
unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re
looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll
explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know,
but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
The Conversion Visibility Modeling team enables a performant ads marketplace and helps prove value to advertisers by connecting
Pinterest onsite activity with conversions that happen offsite (both digital and physical) in a privacy-preserving way. As a
Machine Learning Engineering Manager on this team, you will lead a hybrid team of ML engineers and backend software engineers to
build end-to-end identity and conversion visibility solutions across modeling, serving, and data infrastructure, so advertisers
retain accurate, privacy-aware performance visibility as signals fragment and degrade. You will set the technical direction for
high-impact ML systems that feed ranking, bidding, measurement, and reporting across Pinterest’s ads stack.
across modeling and infrastructure and building an inclusive, high-performing environment where the team can deliver end-to-end
solutions.
systems (e.g., user match prediction, conversion type/value prediction, probabilistic attribution and deduplication) that
improve match precision/recall and downstream conversion quality across web and app surfaces.
into technical strategy, and drive execution toward high-impact outcomes.
interfaces, SLAs, and success metrics that enable end-to-end identity and conversion visibility systems—including models, data
pipelines, and serving surfaces—to integrate cleanly into the broader ads ecosystem.
pipelines, model evaluation, experimentation, service reliability, and operational excellence, so the team can build
trustworthy ML-powered systems end to end.
verification to ensure correctness, reliability, and advertiser trust.
ranking, or search).
ranking or ads measurement domains.
that span modeling, data pipelines, backend services, and productionization, and aligning stakeholders on priorities,
trade-offs, and execution plans.
infra, and partner ML teams to clarify ambiguous problem spaces, co-create solutions, and drive consensus with senior
stakeholders.
day-to-day can vary based on the needs of each organization or role.
distance from one of the following offices [Seattle or Bay Area].
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide
greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final
salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best
qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color,
ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions),
sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or
mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other
consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of
criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job
application process, please complete this form for support.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is
true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation
may disqualify me from employment consideration or result in termination if discovered after hire.
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. We are looking for inquisitive, well-rounded Backend engineers to join our Monetization engineering teams. Working closely with product managers, designers, data scientists, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences as we scale and evolve. You will build robust frameworks & features. You will accelerate velocity for one of the world’s largest public cloud workloads. You will empower both developers and Pinners alike. You’ll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s required in order for big bets and smart risks to pay off, you’ll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release. What you’ll do: * Build out the backend for Pinner-facing features to power the future of inspiration on Pinterest * Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users * Partner with design, product, and backend teams to build end-to-end functionality * Put on your Pinner hat to suggest new product ideas and features * Employ automated testing to build features with a high degree of technical quality, taking responsibility for the components and features you develop * Grow as an engineer by working with world-class peers on varied and high impact projects * Design, develop, and operate large scale, distributed systems and networks * Work with Engineering customers to understand new requirements and address them in a scalable and efficient manner * Actively work to improve the developer process and experience in all phases from coding to operation What we’re looking for: * 1+ years of industry backend development experience, building consumer or business facing products * Proficiency in common backend tech stacks for RESTful API, online service, storage, caching and data processing * Experience building & operating large scale distributed systems and/or networks. Bonus points if you enjoy deploying and operating large scale workloads on a public cloud footprint * Experience in Python, Java, C++, or Go or another language and a willingness to learn * Experience in following best practices in writing reliable and maintainable code that may be used by many other engineers * Ability to keep up-to-date with new technologies to understand what should be incorporated * Strong collaboration and communication skills * Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: * We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. * This role will need to be in the office for in-person collaboration [1x per week] and therefore needs to be in a commutable distance from one of the following offices in Seattle. #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $120,753—$211,318 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. Toast is revolutionizing the way the restaurant industry does business by pairing technology with an extraordinary commitment to customer success. We help restaurants streamline operations, increase revenue, and deliver amazing guest experiences through our platform that combines restaurant point of sale, guest-facing technology, and award-winning customer support. Join us as we empower the restaurant community to delight guests, do what they love, and thrive. Bready* to make a change? The Toast AI Engineering team is seeking a Data Scientist to embed data science capabilities into the Toast platform by partnering with engineers and product managers to develop statistical and machine learning models that power key product lines. About this Roll* (Responsibilities): * Apply a diverse set of expertise including data mining, statistical analysis and machine learning to deliver impactful, objective, and actionable data insights that enable informed business and product decisions * Collaborate with cross-functional teams, including sales, marketing, and product, to identify business opportunities and develop data-driven solutions that drive growth and engagement. * Partner with line of business teams and collaborate with product managers, engineers and data scientists to foster data-driven decisions that yield significant impacts * Able to effectively communicate analysis, insights and recommendations to high-level business partners in verbal, visual and written formats * Thrive in a dynamic and rapidly evolving environment Do you have the right ingredients* (Requirements)? * Bachelors in computer science, engineering, math, statistics, economics, or other quantitative discipline; Masters preferred. * 2+ years of data science experience in an industry environment. * Have solid statistical and machine learning foundations. Familiar with machine learning concepts (e.g. regression/classification, clustering, offline/online model evaluation). * Experience with advanced machine learning techniques, including supervised and unsupervised learning, graph algorithms, deep learning (e.g., NLP), recommendation systems, and generative AI. * Experience with Python and SQL, and ML frameworks (e.g. scikit-learn, Tensorflow, PyTorch) * Experience with cloud solutions, preferably with AWS tooling (e.g. SageMaker, DynamoDB, Athena, Glue, etc.) * Experience with model workflow orchestration tool (e.g. Airflow) * Experience collaborating with engineers, product managers, and other cross-functional teams * Excellent verbal and written communication skills * Ability to communicate sophisticated quantitative analysis in a clear, precise, and actionable manner. Special Sauce* (Nice to Haves): * Experience working on LLM applications, including prompting, RAG, and evaluation. * Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration. * Experience shipping machine learning systems in production environments. * Experience in A/B testing and other experimentation methodologies for effective product launch measurement. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy. Zone A $112,000—$179,000 USD Zone B $97,000—$155,000 USD Zone C $87,000—$139,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
DEINE ROLLE Baue mit uns die Creative-Machine hinter einer der spannendsten DTC-Family-Brands Europas. Funzy ist in den letzten Jahren mit dem Spielsofa groß geworden. Heute entwickeln wir mehrere Produktkategorien rund um Spielen, Bewegung, Kinderzimmer und Familienalltag mit über 350.000 Eltern, die unseren Produkten bereits vertrauen. Jetzt wollen wir den nächsten großen Hebel im Performance Marketing ausbauen: Creative Strategy. Wir suchen keine klassische Social-Media-Person. Keine Creator-Managerin. Keine reine Content-Rolle. Wir suchen jemanden, der versteht, warum Menschen im Feed stoppen, warum sie kaufen und wie man aus Daten, Hypothesen und starken Consumer Insights skalierbare Meta Ads baut. Als Senior Performance Creative Strategist verantwortest du bei uns die strategische Weiterentwicklung unserer Paid-Social-Creatives. Du entwickelst neue Angles, Hooks, Konzepte und Briefings, analysierst Performance-Daten in Motion und baust aus Learnings bessere Ads. Kurz gesagt: Du hilfst uns dabei, nicht einfach mehr Creatives zu produzieren, sondern systematisch bessere Creatives. Pensum: Vollzeit Ort: Remote (Deutschland) Startdatum: Ab Sofort oder nach Vereinbarung Sprachen: Deutsch & Englisch DEINE AUFGABEN * Entwicklung und Weiterentwicklung unserer Paid-Social-Creative-Strategie mit Fokus auf skalierbare Creatives entlang des gesamten Funnels (ToF, MoF, BoF). * Konzeption von hochkonvertierenden Direct-Response Ads; von Hooks und Skripten bis hin zu klaren Messaging- und Conversion-Logiken. * Entwicklung von starken Creative Territories, neuen Ad-Ideen und Launch-Narrativen für bestehende und neue Produkte. * Analyse von Performance-Daten und Creative-Insights, um Winning Creatives gezielt weiterzuentwickeln und neue Testing-Ansätze abzuleiten. * Entwicklung und Priorisierung verschiedener Ad-Formate wie UGC, Skits, Greenscreen, Social Proof oder Comparison Ads. * Enge Zusammenarbeit mit Design, Content und Performance Marketing, um Ideen schnell in wirkungsvolle Creatives zu übersetzen. * Konzeption größerer Assets wie Shootings oder Hero Videos, immer mit klarem Fokus auf Performance und Skalierbarkeit. DEINE QUALIFIKATION * Mehrjährige Erfahrung im Bereich DTC Paid Social / Performance Creative, idealerweise im E-Commerce Umfeld * Nachweisbare Erfahrung mit Direct-Response Creatives * Starkes Verständnis für Buyer Psychology & Conversion-Logik * Erfahrung im Umgang mit Performance-Daten & Testing * Sicherer Umgang mit Tools wie Motion, idealerweise auch AI-Tools * Gespür für Formate, Trends und wirkungsvolle Kommunikation * Strukturierte, eigenständige Arbeitsweise und echtes Ownership * Fließende Deutsch- und Englischkenntnisse WARUM WIR? * Einblicke in die spannende Welt eines dynamisch wachsenden E-Commerce-Start-ups mit viel Gestaltungsspielraum * Eine inspirierende Unternehmenskultur geprägt von Innovationsgeist, flachen Hierarchien, direkter Kommunikation und schnellen Entscheidungen * Modernes Arbeiten: Anspruch auf Shared Office Desk, MacBook, flexible Arbeitszeiten sowie Arbeiten aus dem Home Office * Unvergessliche Team-Events, die den Zusammenhalt stärken und für Abwechslung sorgen * Attraktive Mitarbeiterrabatte für dich sowie exklusive Vorteile für Family & Friends Das hört sich nach einem Match an? Dann sende uns deine Bewerbung inklusive deines Lebenslaufs und weiterer relevanter Dokumente. Bitte gib zudem dein frühestmögliches Startdatum an. Wir freuen uns von dir zu hören!