About Dialpad ---------------- Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.
\nMore than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.
\nWe’re now leading the shift to Agentic AI: intelligent agents that don’t just analyse conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.
\nVisit dialpad.com to learn more.
\nBeing a Dialer --------------- AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.
\nWe believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.
\nWe look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level.
\nWe seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.
\nYour role -------- As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services.
\nYou will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions.
\nYou will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more.
\nIn this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.
\nThis position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.
\nWhat you’ll do ------------
\nWhat you’ll bring --------------
\nBackend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.
\nFor exceptional talent based in British Columbia, Canada the target base salary range for this position is $150,500-$175,250 CAD.
\nWhy Join Dialpad ---------------
\nWe believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential.
\nWe have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.
\nOur exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.
\nDon’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.
\nDialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
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\nYou want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team.
\nOur blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. Our current topics of focus include...
\n_Note: For this role, we conduct all interviews in Python and prefer candidates to be based in the Bay Area._
\nRepresentative projects:
\nYou may be a good fit if you:
\nStrong candidates may also:
\nCandidates need not have:
\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
\nAnnual Salary:
\n$350,000 \\- $500,000USD
\nLogistics
\nEducation requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruits through our website and other job boards, and we will never ask you to pay for any part of the recruitment process.
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\nHow we're different
\nWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preference
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\nAs a Research Lead on the Training Insights team, you'll develop the strategy for, and lead execution on, how we measure and characterise model capabilities across training and deployment. This is a hands-on leadership role: you'll drive original research into new evaluation methodologies while leading a small team of researchers and research engineers doing the same.
\nYour work will span the full lifecycle of model development. You'll research and build new long-horizon evaluations that test the boundaries of what our models can achieve, develop novel approaches to measuring emerging capabilities, and deepen our understanding of how those capabilities develop — both during production RL training and after. You'll also take a cross-organisational view, working across Reinforcement Learning, Pretraining, Inference, Product, Alignment, Safeguards, and other teams to map the landscape of model evaluations at Anthropic and identify critical gaps in coverage.
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\nVisa sponsorship: We do sponsor visas!
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\nFraud & Risk Analyst
\nLocation
\nSan Francisco
\nEmployment Type
\nFull time
\nDepartment
\nCompensation
\nThe base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
\nMore details about our benefits are available to candidates during the hiring process.
\nThis role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.
\nAbout the Team
\nThe Account & Platform Integrity team protects OpenAI’s ecosystem from fraud, impersonation, abuse, and account-level threats. We ensure that the people and organizations using OpenAI are who they claim to be, that access is used appropriately, and that bad actors are prevented from exploiting the platform.
\nWe operate at the intersection of identity, access, compliance, and abuse prevention, working closely with Product, Engineering, Legal, Go-To-Market, and Support teams to stop harmful activity before it impacts users, customers, or the business. Our work directly protects revenue, user trust, and platform safety across ChatGPT, the API, and enterprise products.
\nAbout the Role
\nWe’re hiring a Fraud & Risk Analyst to help safeguard OpenAI by investigating, validating, and monitoring customer accounts and organizations. You will focus on identity, legitimacy, and risk, ensuring accounts are properly verified, access is appropriate, and emerging threats are detected early.
\nYou’ll handle sensitive and high-stakes investigations involving fraud, impersonation, sanctions, misuse of access, and coordinated abuse. Your work will directly influence who can use OpenAI’s products and how safely we can scale.
\n_Note: This role may involve reviewing sensitive, confidential, or disturbing content._
\nWe use a hybrid work model of 3 days in the office per week in our San Francisco office.
\nIn this role you will:
\nYou Might Thrive In This Role If You...
\nAbout OpenAI
\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
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