Consumer Operations Jobs

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! As AI reshapes how consumers search, discover, and choose brands, Trustpilot’s unique dataset of authentic human sentiment is becoming increasingly critical. We are uniquely positioned to define how trust and reputation function in an AI-driven digital economy and we’re building an inclusive environment where curious, ambitious people can do the best work of their careers. To support Trustpilot’s rapid expansion, we’re looking for a Student Assistant to join our DACH Sales Team in Hamburg. With us you’ll have the opportunity to try new things and figure out where you want to take your career. We hope we’ve grabbed your attention so far, please keep on reading for more details about the role. What you’ll be doing: In this role you will be supporting the sales team with both low and high tasks such as: Research and identify potential leads Use lead generation tools to gather contact information Qualify leads based on specific criteria Maintain accurate lead records in the CRM system Collaborate with the sales team for correct lead handoff and knowledge sharing Coordinate customer-facing materials, including documents, presentations, design and other sales collateral Support event planning and coordination, including lead management before and after events, and run email cadences and outreach activities on behalf of the sales team We’d like you to be able to work approximately 10-20 hours per week, but we are of course flexible depending on what your study schedule looks like. Who you are: You have a positive, proactive mindset and are eager to learn You’re interested in commercial organizations and how they operate You have a strong motivation for

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! As AI reshapes how consumers search, discover, and choose brands, Trustpilot’s unique dataset of authentic human sentiment is becoming increasingly critical. We are uniquely positioned to define how trust and reputation function in an AI-driven digital economy and we’re building an inclusive environment where curious, ambitious people can do the best work of their careers. To support Trustpilot’s rapid expansion, we’re looking for a Student Assistant to join our BENELUX Sales Team in Amsterdam. With us you’ll have the opportunity to try new things and figure out where you want to take your career. We hope we’ve grabbed your attention so far, please keep on reading for more details about the role. What you’ll be doing: In this role you will be supporting the sales team with both low and high tasks such as: Research and identify potential leads Use lead generation tools to gather contact information Qualify leads based on specific criteria Maintain accurate lead records in the CRM system Collaborate with the sales team for correct lead handoff and knowledge sharing Coordinate customer-facing materials, including documents, presentations, design and other sales collateral Support event planning and coordination, including lead management before and after events, and run email cadences and outreach activities on behalf of the sales team We’d like you to be able to work approximately 10-20 hours per week, but we are of course flexible depending on what your study schedule looks like. Who you are: You have a positive, proactive mindset and are eager to learn You’re interested in commercial organizations and how they operate You have a strong motivation

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! As AI reshapes how consumers search, discover, and choose brands, Trustpilot’s unique dataset of authentic human sentiment is becoming increasingly critical. We are uniquely positioned to define how trust and reputation function in an AI-driven digital economy and we’re building an inclusive environment where curious, ambitious people can do the best work of their careers. We’re expanding our Enterprise business across the Italian market, and we’re looking for collaborative, forward-thinking professionals to help shape what’s next. You’ll work with some of the region’s leading brands at a moment when AI is fundamentally changing how reputation is built and how consumers make decisions, while helping businesses use authentic human sentiment to strengthen their visibility, credibility, and competitive position in the AI economy. As Enterprise Business Development Representative (EBDR), you will act as the strategic engine for our pipeline, working in close collaboration with our Senior Enterprise Sales Leaders to map major accounts, identify new verticals, and hunt for new business opportunities.This is a high-visibility role for ambitious professionals looking to master enterprise sales, with opportunities to advance into a closing Account Executive position. This role requires native-level Italian and strong professional English language skills. It is based in our Copenhagen office. What you’ll be doing: Strategic Outbound Prospecting: Identify, target, and map complex enterprise-level accounts, as well as strategically rework cold or existing accounts within your book of business finding multiple entry points into a given division or compan

SAP Fiori developer Chennai, Tamil Nadu, India Full Time Direct Hire Job Summary: Responsibilities • Develop and maintain SAP FIORI applications. • Collaborate with business stakeholders to understand requirements and translate them into technical specifications. • Implement custom and standard SAP FIORI applications using SAP Web IDE. • Perform unit testing and troubleshoot issues in SAP FIORI applications. • Ensure seamless integration with existing SAP systems and modules. • Maintain documentation for development processes and user guides. • Stay updated with the latest SAP FIORI best practices and technologies. Qualifications • Bachelor or master degree in computer science, Information Technology, or related field. • 6 years of experience in SAP Frontend development (SAPUI5 / Fiori) • Experience in Fiori Design patterns, expertise in UI Theme designer • Expertise with annotations and SAP smart controls • Proficient in SAPUI5 and Fiori framework: Deep understanding of SAPUI5 controls, components, routing, and data binding mechanisms. • Front-end development skills: Expertise in HTML, CSS, JavaScript, and related web technologies. • OData knowledge: Ability to consume and create OData services for data integration with backend systems. • Experience in developing UI5 Freestyle apps. • SAP ABAP understanding: Basic understanding of ABAP programming for backend integration and customization. • Fiori Gateway services development skills • Experience with SAP BAS and SAP Web IDE • Experience in Fiori Launchpad configuration • Experience in Fiori Elements and CDS views • Must be good at JavaScript’s, JQUERY, XML, JSON and HTML5, Layout designing with CSS • Experience in SAP BTP Platforms tools SAP Build / SAP Build Process Automation / SAP workzone - Added Value • Experience in SAP BTP Frameworks CAP or RAP - Added Value • Experience in web service and REST API integration - Added Value • Ability to solve problems independently, showing perseverance and requiring minima

Improving customer service: Identifying areas for improvement and working to improve customer service Creating a pleasant work environment: Ensuring a positive work environment for the customer support team Customer support executives should have excellent communication skills, including the ability to read, write, listen, and communicate clearly. They should also have a thorough understanding of the products and services offered by the company. Review platforms are growing in popularity and more consumers are relying on other people's opinions/experiences

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! As AI reshapes how consumers search, discover, and choose brands, Trustpilot’s unique dataset of authentic human sentiment is becoming increasingly critical. We are uniquely positioned to define how trust and reputation function in an AI-driven digital economy and we’re building an inclusive environment where curious, ambitious people can do the best work of their careers. We’re expanding our Enterprise business across France, and we’re looking for collaborative, forward-thinking professionals to help shape what’s next. You’ll work with some of the region’s leading brands at a moment when AI is fundamentally changing how reputation is built and how consumers make decisions, while helping businesses use authentic human sentiment to strengthen their visibility, credibility, and competitive position in the AI economy. As Enterprise Business Development Representative (EBDR), you will act as the strategic engine for our pipeline, working in close collaboration with our Senior Enterprise Sales Leaders to map major accounts, identify new verticals, and hunt for new business opportunities.This is a high-visibility role for ambitious professionals looking to master enterprise sales, with opportunities to advance into a closing Account Executive position. This role requires native-level French and strong professional English language skills. It is based in our Copenhagen office. What you’ll be doing: Strategic Outbound Prospecting: Identify, target, and map complex enterprise-level accounts, as well as strategically rework cold or existing accounts within your book of business finding multiple entry points into a given division or company. Stakeholde

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Staff Software Engineer Opportunity Passkeys, powered by FIDO2 WebAuthn, are revolutionizing how people authenticate—bringing us into a passwordless future that’s more secure and seamless than ever before.At Okta, we’re on a mission to help enterprises and consumers embrace this transformation. We’re building cutting-edge phishing-resistant authenticators and passkey solutions that make security stronger while making life easier for users. Our products empower businesses to leave passwords behind and defend against modern threats with innovative, user-friendly technology. We are looking for a Staff Software Engineer to join the Passwordless team. As a Staff Engineer, you will be a technical leader, making large, independent contributions and shaping the future of how millions of users access technology securely. This is a role for an engineer who thrives on solving ambiguous problems and taking ownership of end-to-end solutions. You will not only execute on complex technical challenges but also influence the team's direction, mentor other engineers, and proactively identify opportunities to improve our products and processes. If you are passionate about building highly reliable, scalable systems and want to define the future of passwordless authentication, we’d love for you to join us. What you’ll be doing Partner closely with product, design, and other cross-functional stakeholders to own problem spaces and ensure we are building the right solutions fo

Who we are About Bridge We’re creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster / cheaper vs. SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward. We have a small team of people who have previously built financial infrastructure at some of the world’s leading companies (Coinbase, Stripe, Square, Brex, Upstart, DoorDash, Airbnb) and each and every one of them chose Bridge because they fundamentally believe that stablecoins will be a critical piece of financial infrastructure that allows for the improvement of global money movement. What you’ll do We are looking for a Product Analyst to join our Data team at Bridge. You'll own the data strategy for customer experience at Bridge, spanning two closely linked areas: Payments quality — transaction speed, uptime/reliability, error rates, and support ticket trends across our payment rails and products. Product experience — how customers interact with Bridge's dashboard, onboarding flows, and other surfaces, and where friction is costing us adoption or trust. This focus area may shift over time as the business evolves, and we're looking for someone who can adapt their scope accordingly — spinning up their knowledge of different product areas, creating new analyses and instrumentation as priorities emerge or change. This is a high-ownership seat: you'll be the primary data voice for your focal area, expected to identify what matters, build the pipelines and analysis to prove it, and drive dec

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! AI is changing the way consumers discover, evaluate and choose businesses online and Trustpilot is at the centre of that shift. Our reviews are increasingly becoming a trusted source for AI, with Trustpilot ranking as the fifth most cited page on the internet by ChatGPT in January 2026. As an Account Executive at Trustpilot, you’ll play a key role in helping businesses build trust and turn it into growth. You’ll own new business development across the Dutch market, working with companies to understand their challenges, uncover opportunities, and show them how Trustpilot can help them build credibility, strengthen their reputation, and win more customers. What you’ll be doing: Proactively build relationships and seek new business opportunities Generate new business opportunities with prospective clients by targeting various verticals Take ownership of the full 360 sales cycle (generating leads, demonstrating the product, pricing, negotiation and closing) Illustrate the value of Trustpilot products and software solutions to demonstrate growth opportunities and return of investment Compile and analyse data to present trends to prospects and clients Work closely with your colleagues in Customer Success, Partnerships, Sales development and management to ensure that you offer the best solution to our customers Build a healthy pipeline to ensure that you’re always exceeding your targets Who you are: Fluent in Dutch along with English working proficiency +3 years experience in a similar full cycle sales role in SaaS and tech Experienced in MEDDIC/MEDDPICC History of consistently reaching targets in a similar capacity over the past few years D

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Plaid’s Partnerships team unlocks “one to many” relationships and product partnerships with technology platforms to allow more customers and consumers to benefit from Plaid’s solutions. This role will focus specifically on partnerships that unlock new markets and scale new use cases alongside our Credit Team. Our Credit Team is building the future of lending by making cash flow data as ubiquitous and trusted as traditional credit data. Our mission is to expand access to more affordable credit by empowering lenders with real-time financial data that improves risk assessment and decision-making at scale. In this role, you will lead partnerships that make it easier for lenders to adopt cash flow underwriting. The potential partner ecosystem is broad and includes the software platforms, capital providers, and other companies involved throughout the lending lifecycle. You will assess Plaid’s partnership needs, identify and prioritize strategic partners, develop creative commercial structures, and negotiate complex agreements. You will work closely with internal and external stakeholders across product, engineering, legal, go-to-market, and other functions to build partnerships that create meaningful valu

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Plaid Support ensures our customers' applications can help their consumers live their best financial lives by ensuring our products continue to operate as expected. We investigate the root cause of integration issues, quantify their scope and impact, and when we can’t fix them ourselves, we work with our Growth and Engineering teams to reach a solution. As we continue to grow, we’re looking for Technical Support Engineers (TSEs) to join the team to help us balance the needs of customers, users and internal stakeholders, while navigating critical technical issues. In this role, you will manage issues from their first symptom to their eventual resolution, communicating with our customers and internal stakeholders throughout the process. People who succeed in this role tend to be empathetic, collaborative, technically minded, and most importantly - customer-centric. They have an interest in learning more about financial services, and are excited to help customers resolve complex issues. TSEs work closely with Plaid’s product and engineering teams, and we have a high technical bar to ensure that we all speak the same language. Our Support team sets aggressive goals to meet the standards our customers ex

Senior Analytics Engineer The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call . As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. This role is based in our Vancouver 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 your recruiter can share more about the in-office requirements . What you’ll achieve Own the Gold layer for a given business domain (e.g., PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on. Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good. Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie. Own the metric dictionary for your domain: a single source of truth for what each metric means,