Manual Tester Jobs

About the role Rubrik's Customer Success and Renewals organization is the operational backbone that keeps our retention and growth motions running as a measurable, automated, insight-driven system. We're looking for a senior Customer Success Operations professional to be the operational engine behind these motions — building the automation that removes manual toil, turning scattered data into trusted analytics, and acting as the connective tissue between Customer Success, Renewals, RevOps, Product, and Engineering. What You'll Do Design and build automation across the customer lifecycle — onboarding, adoption tracking, renewal triggers, risk alerts, health-score refreshes — replacing manual workflows with scalable, self-refreshing processes. Partner with Product and Engineering to instrument customer and telemetry signals into the reporting layer, and coordinate on closing technical/product gaps surfaced by CS and Renewals data. Build and own CS/Renewals dashboards and executive data packs covering GRR/NRR, renewal trends, churn/downsell drivers, at-risk accounts, health distribution, adoption, and time-to-value. Design and govern product metrics across product/eng and post sales teams; own data integrity across Salesforce, the CS platform, Snowflake, and Tableau. Apply AI/LLM tools to automate reporting, build workflows and frameworks from scratch, accelerate analysis, and reduce manual operational work — and help set the standard for how the post-sales org uses AI to scale. Act as the operational bridge across RevOps, Sales Ops, Finance, Support Ops, Enablement, and Data/BI — leading cross-functional programs and driving alignment on data, definitions, and scaling initiatives. Deliver ad hoc and recurring analysis that turns raw data into decision-ready insight for CS and Renewals leadership. Experience you’ll need Minimum of 6 years in Customer Success Oper

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 $200B in annualized spend flows in and out of 70,000+ 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 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 Ramp is seeking its first dedicated Financial Crimes Compliance Controls Senior Strategist to build and own the framework that demonstrates FCC controls are working as intended, remain effective as risk evolves, and can be clearly supported in bank-partner, audit, and regulatory examinations. This is a senior individual-contributor role at the intersection of financial-crimes compliance, controls effectiveness, technology, data, and AI-enabled operations. You will own FCC’s approach to testing, documenting, and improving manual and automated controls, including procedures, detection rules, AI and LLM-enabled workflows, and automation deployments. You will serve as FCC’s dedicated compliance partner for program-level Product, Engineering, Design, and Data (“PEDD”) initiatives, ensuring FCC requirements, controls, and risk considerations are incorporated into strategic product and technology planning. This role complements the broader team’s cross-functional partnerships by focusing specifically on major PEDD-led initiatives. This is a

About the Team Business Marketing at OpenAI helps companies understand, adopt, and realize value from intelligence at work. We believe our own marketing organization should demonstrate what changes when intelligence becomes part of the work: fewer manual handoffs, faster learning, better use of customer and product signals, and more capacity for ambitious thinking. Marketing Technology works across Marketing, go-to-market, Data, Engineering, IT, Security, and Product to define the systems, agents, data, workflows, and operating model that power modern marketing at OpenAI. The team has an opportunity to rethink marketing operations alongside the people building the models, products, and infrastructure shaping the future of AI. About the Role We are hiring a Head of Marketing Operations & Technology to build the most AI-enabled marketing operations organization in the world. You will own the systems, infrastructure, data, and workflows that help Marketing operate with greater intelligence, speed, and impact. You will set the function’s strategy, decide what to build or buy, and develop new capabilities where existing solutions fall short. This role sits at the intersection of marketing, technology, data, and AI. You will partner closely with Engineering, Product, Sales, Growth, and Revenue Operations while building a team of technical operators and builders who can turn ambitious ideas into dependable systems. We welcome varied backgrounds—from marketing operations leaders who have expanded the function’s traditional boundaries to founders and builders of AI-native products, growth infrastructure, or internal platforms. What matters most is a deep understanding of marketing, strong technical instincts, and the ambition to imagine a fundamentally better way of working. In this role, you will: Define the vision, strategy, and operating model for Marketing Operations & Technology, including how AI should reshape the function. Build and lead a team spanning market

Our Simulation team builds the tools that engineers across the company rely on to validate autonomous vehicle safety and performance - including 3D scenario authoring tools, generative models for realistic traffic and scenario generation, and agentic tooling that automates manual simulation workflows. The team combines traditional software engineering with machine learning engineers, and the simulation coverage they deliver directly determines how many miles, scenarios, and edge cases we can validate before each autonomy release. We're looking for an Engineering Manager to lead a team of software and ML engineers building the scenario authoring tools, generative models, and agentic tooling that engineering relies on broadly to validate autonomous vehicle safety and performance. You'll own the team's technical direction - including its ongoing shift toward generative AI - while growing and developing the team, and you'll partner cross-functionally to scale our generative scenario creation capabilities as a company-wide capability with executive visibility. In this role, you will: Manage and grow a mixed team of software and machine learning engineers building simulation tools that are used broadly across engineering to validate autonomous vehicle safety and performance. Set and drive the team's technical direction, investing in agentic tooling to automate manual simulation workflows and deploying in-house generative models for exploratory vehicle testing. Lead high-visibility, cross-functional initiatives to scale the company's generative scenario creation capabilities, partnering with stakeholders across engineering and earning executive sponsorship. Own delivery of simulation tooling and services, including scenario authoring tools (e.g., 3D visual editors) used broadly across engineering teams. Ensure simulation tooling keeps pace with new Operational Design Domain (ODD) capabilities and upcoming autonomy milestones.<

ROLE DETAILS Full-Time Office Location — New York City (preferred) WHY TRANSLUCENT Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions. Translucent is changing that. We’re building the AI-native financial platform designed exclusively for healthcare — giving every finance team, department, and service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows. Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we’ve already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we’re just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place. ROLE OVERVIEW Sourcing variance is one of the most line-item-auditable opportunities in a health system and one of the easiest to misjudge, because a high-cost item is not overspend if it earns more than it costs. As our subject matter expert for this domain, you will bring that judgment into the product itself, shaping how our agents reason about contract pricing, tier compliance, and 340B integrity, while holding model output to the standard a working pharmacy or supply chain leader would apply. This position reports to Adam Albrecht, Head of Domain Intelligence. WHAT YOU'LL DO To facilitate the development of these systems, you will: Develop and deliver subject matter expertise in pharmacy economics and healthcare supply chain to support AI product development and customer margin realization Work closely with our engineering, product, and design teams to define and develop AI systems for pharmacy

ROLE DETAILS Full-Time Office Location — New York City (preferred) WHY TRANSLUCENT Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions. Translucent is changing that. We’re building the AI-native financial platform designed exclusively for healthcare — giving every finance team, department, and service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows. Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we’ve already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we’re just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place. ROLE OVERVIEW Labor is the largest line on most provider income statements and among the hardest to reason about, because a staffing variance can be a model problem, a demand problem, or a byproduct of the competitive landscape. As our subject matter expert for this domain, you will bring that judgment into the product itself, shaping how our agents reason about premium labor, staffing to census, and productivity standards, while holding model output to the standard a healthcare workforce leader would apply. This position reports to Adam Albrecht, Head of Domain Intelligence. WHAT YOU'LL DO To facilitate the development of these systems, you will: Develop and deliver subject matter expertise in healthcare workforce and productivity management to support AI product development and customer margin realization Work closely with our engineering, product, and design teams to define and develop AI systems

ROLE DETAILS Full-Time Office Location — New York City (preferred) WHY TRANSLUCENT Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions. Translucent is changing that. We’re building the AI-native financial platform designed exclusively for healthcare — giving every finance team, department, and service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows. Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we’ve already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we’re just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place. ROLE OVERVIEW Physician economics are shaped as much by compensation design and documentation behavior as by actual productivity, which makes benchmark comparisons easy to misread. As our subject matter expert for this domain, you will bring that judgment into the product itself, shaping how our agents reason about productivity, compensation, and access, while holding model output to the standard a working medical group leader would apply. This position reports to Adam Albrecht, Head of Domain Intelligence. WHAT YOU'LL DO To facilitate the development of these systems, you will: Develop and deliver subject matter expertise in medical group and employed-physician operations to support AI product development and customer margin realization Work closely with our engineering, product, and design teams to define and develop AI systems for physician enterprise workflows Build proprietary benchmarks and dat

ROLE DETAILS Full-Time Office Location — New York City (preferred) WHY TRANSLUCENT Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions. Translucent is changing that. We’re building the AI-native financial platform designed exclusively for healthcare — giving every finance team, department, and service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows. Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we’ve already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we’re just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place. ROLE OVERVIEW Throughput opportunities are easy to compute but complicated to understand: a modeled length-of-stay reduction only becomes margin under conditions a spreadsheet can’t predict. As our subject matter expert for this domain, you will bring that judgment into the product itself, shaping how our agents reason about flow, capacity, and utilization, and holding model output to the standard a working operations leader would apply. This position reports to Adam Albrecht, Head of Domain Intelligence. WHAT YOU'LL DO To facilitate the development of these systems, you will: Develop and deliver subject matter expertise in clinical operations and patient flow to support AI product development and customer margin realization Work closely with our engineering, product, and design teams to define and develop AI systems for throughput and capacity workflows Build proprietary benchmarks and datasets to e

ROLE DETAILS Full-Time Office Location — New York City (preferred) WHY TRANSLUCENT Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions. Translucent is changing that. We’re building the AI-native financial platform designed exclusively for healthcare — giving every finance team, department, and service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows. Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we’ve already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we’re just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place. ROLE OVERVIEW Revenue cycle is where healthcare’s most auditable margin leakage lives, and where the distance between a flagged variance and a recovered dollar is operator judgment. As our subject matter expert for this domain, you will bring that judgment into the product itself, shaping how our agents reason about denials, underpayments, and charge capture, defining what a correct answer looks like, while holding model output to the standard a working revenue cycle leader would apply. This position reports to Adam Albrecht, Head of Domain Intelligence. WHAT YOU'LL DO To facilitate the development of these systems, you will: Develop and deliver subject matter expertise in healthcare revenue cycle to support AI product development and customer margin realization Work closely with our engineering, product, and design teams to define and develop AI systems for revenue cycle workflows Build proprietary

ROLE DETAILS Full-Time Office Location — New York City (preferred) WHY TRANSLUCENT Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions. Translucent is changing that. We’re building the AI-native financial platform designed exclusively for healthcare — giving every finance team, department, and service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows. Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we’ve already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we’re just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place. ROLE OVERVIEW Contract terms determine what a health system is owed, but that language lives in amendments, appendices, and institutional memory rather than anywhere a system can easily query. As our subject matter expert for this domain, you will bring that judgment into the product itself, shaping how our agents read contract language, model expected reimbursement, and monitor payor behavior, while holding model output to the standard a working contracting leader would apply. This position reports to Adam Albrecht, Head of Domain Intelligence. WHAT YOU'LL DO To facilitate the development of these systems, you will: Develop and deliver subject matter expertise in managed care contracting and payor strategy to support AI product development and customer margin realization Work closely with our engineering, product, and design teams to define and develop AI systems for contracting and payor performanc

Why Translucent Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions. Translucent is changing that. We're building the agentic AI platform designed exclusively for healthcare finance — giving every finance team, department, service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows. Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we've already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we're just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place. About the role We're hiring a Forward Deployed Insights Engineer to join our team in New York. You will sit at the intersection of our customers' healthcare finance problems and the agentic AI and ML systems we build to solve them. Working on top of the unified data ontology our Analytics Engineers maintain and the agent infrastructure our AI Engineering team builds, you will stand up new agents and ML models for specific customer problems, configure the visualizations and presentation layer that make their outputs usable, and work directly with customers and end users to turn those capabilities into real, trusted decisions. This is a high-ownership, customer-facing role. You will partner closely with our product team to make sure the solutions you build for one customer become repeatable, platform-wide offerings. What you'll do Configure customer workspaces and build new AI agents and ML models on top of existing agent infrastructure and platform capabilities — our AI E

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As Senior Technical Program Manager for the Human-in-the-Loop (HITL) Operations , you will own the end-to-end lifecycle of Roblox's AI data labeling and model evaluation ecosystem. This is a high-leverage, high-ownership role at the intersection of Research, Engineering, and Operations. You will scale our data operations that is handling million of items evaluated annually today with projection of 4x the current volume by 2030, managing a multi-million annual budget and a distributed workforce of 100+ remote contractors — all while driving the platform evolution from manual workflows to AI-assisted, LLM-accelerated operations. This is a rare opportunity to build the data infrastructure that directly determines the quality of Roblox's AI models across creator tools, content discovery, in-experience AI, and 3D generative content — at the exact moment when human judgment is the critical ingredient for getting these models right. You Will Lead data programs end-to-end. Own the full lifecycle of labeling and model evaluation workflows across Roblox's AI teams — from translating ambiguous ML requirements into structured annotation tasks, to overseeing contractor execution, quality review, a

Role Details Full-Time Office Location - New York City (preferred) Why Translucent Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions. Translucent is changing that. We're building the agentic AI platform designed exclusively for healthcare finance— giving every finance team, department, service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows. Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we've already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we're just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world, this is the place. Role Overview We're looking for a Product Designer to help shape the everyday experience of Translucent: the AI financial platform transforming how healthcare organizations make business decisions. You'll work shoulder-to-shoulder with our Founding Designer and Product Engineering to take ideas from rough concept to polished, shipped product. This role is hands-on and craft-focused: less about setting design strategy from scratch, more about turning complex financial and operational workflows into clear, usable, intuitive experiences, and making sure design intent survives all the way to production. If you are energized by fast-paced environments, love sweating the details, partnering closely with engineers, and seeing your work in customers' hands quickly, you'll feel at home here. What You’ll Do Partner with Product Engineering and our Founding Designer to take projects from concept to shipped without han

On-site | Vancouver Office – 564 Beatty St Here's Your Chance The dental industry a $40B global market spanning 28 countries still runs on disconnected systems, manual workflows, and decisions made without data. Most of it has never been touched by modern software engineering, let alone AI. EviSmart is the dental industry's Autopilot. We build the platform that automates the workflows consuming the industry's time and margin and we build it here, in Vancouver. If you want to architect systems that ship to real customers across North America, Europe, and beyond, and you're done with legacy tech and permission-seeking this is the role. Why EviSmart™ Exponential growing. 145% year-over-year SaaS growth. The market has validated what we're building. 28 countries. One platform. The dental industry's Autopilot built out of a 675 W Hastings office. Real AI stack. An in-house AI model R&D team building proprietary intelligence not wrappers. Outcome-driven culture. 50% of variable compensation tied to measurable technical outcomes. You own results, not tickets. Why Now The Customer Experience Platform is being built from the ground up. No legacy architecture to fight. No design-by-committee. The person who joins now will define the technical foundation and the standards everyone else builds on. We're at the stage where architectural decisions made this quarter will still be running three years from now. If you've ever wanted to be the person who sets the bar, this is that moment. From the CEO "I'm not looking for someone to execute a technical spec handed down from above. I need someone who looks at our system, sees what's wrong, and tells me directly then fixes it. If you've founded something, run an engineering team through growth and hard pivots, and you're ready to stop being the boss and start being the best engineer in the room, I want to talk." Paolo Kalaw, CEO, EviSmart™ What You'll Own Own the end-to-en

Role Overview You’re a seasoned Site Reliability Engineer who loves owning complex infrastructure, making things run faster, safer, and with less manual effort. In this Staff‑level role, you’ll design and operate VMware‑based private cloud platforms that power mission‑critical SaaS products used by customers around the world. You’ll work across Linux, Windows Server, networking, storage, and automation frameworks to increase reliability, reduce toil, and modernize a global datacenter environment. You’ll have the scope to set technical direction, build automation at scale, and mentor engineers while staying hands‑on with VMware vSphere, F5/AVI load balancers, and hybrid Active Directory. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the architecture, deployment, and ongoing optimization of VMware vSphere–based private cloud infrastructure across multiple global datacenters. Design and build automation using PowerShell/PowerCLI, Ansible, Python, and CI/CD tools to streamline provisioning, configuration, and compliance. Administer, harden, and troubleshoot Linux (RHEL/CentOS/Ubuntu) and Windows Server environments that host enterprise and SaaS workloads. Integrate and manage Active Directory for authentication, access control, and service accounts across hybrid on‑prem and cloud environments. Partner with network and security teams to manage firewalls, VPNs, storage, and load balancers (F5 BIG‑IP, AVI/NSX Advanced Load Balancer) for highly available services. Document architectures and runbooks, participate in on‑call and change management, and mentor engineers while influencing long‑term reliability and automation strategy. These are the essentials you’ll need to get an interview 10+ years of experience in systems or infrastructure engineering, including operating large‑scale enterprise or SaaS datacenter environments. Deep hands‑on expertise with VMware vSphere (ESXi, vCenter, DRS, HA, vMotion, distributed switches) in production