Signal Integrity Hardware Engineer Jobs

About the Team The Ads Support Delivery team is responsible for helping successfully operate and grow on our Ads product. This includes technical guidance, troubleshooting complex delivery and monetization issues, and partnering closely with Product, Engineering, Trust & Safety and Go-To-Market teams to resolve customer-impacting problems and improve the platform over time. The team’s mission is to deliver a high-quality customer experience at scale by combining strong human support with automation, self-service, and AI-enabled workflows, while maintaining high operational rigor. About the Role: As a Support Delivery Lead for Ads, you will lead a team responsible for end-to-end support delivery across the ads ecosystem, including campaign setup, delivery, billing, measurement, and policy navigation. You will set the operational bar for quality, responsiveness, and consistency; coach and grow the team; and translate support signals into actionable improvements with Engineering, Product, and Go-To-Market partners. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead and support a team of Ads support engineers, ensuring they have the tools, clarity, and coaching needed to operate at a high bar in a technically complex domain. Set clear expectations and operating standards, run recurring performance reviews, and build development plans that grow both technical depth (ad tech fluency) and customer-facing excellence. Design and continuously improve support coverage for ad buyers, ensuring the team can diagnose delivery issues and monetization and integration issues with equal rigor. Act as the bridge between Support Delivery, Engineering, Product, and Go-To-Market teams. Drive alignment on priorities, escalation paths, launch readiness, tooling improvements and mechanisms to reduce repeated customer pain points. Partner with engineering teams

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Media is extending the value of Lyft's first-party rider data beyond our owned-and-operated surfaces. Through our Audience Solutions business, agencies and brands activate Lyft audiences across the open web, CTV, social, and DSPs — powered by one of the most distinctive mobility datasets in the US. We're hiring an Account Executive to grow this business across agency and holding company accounts. Responsibilities: Own a book of agency and holdco accounts — prospect, pitch, negotiate, and close data licensing and off-platform audience activation deals (Lyft audiences syndicated to DSPs, SSPs, and partner platforms — not Lyft-owned inventory) Build relationships across investment, planning, data strategy, and programmatic trading desks at major holdcos (GroupM, Omnicom Media Group, Publicis Media, IPG, Dentsu, Horizon, Stagwell, etc.) Hit and exceed quarterly revenue targets Translate Lyft's first-party mobility data into briefs that win RFPs — audience segments, geo/movement signals, and measurement use cases Partner with Account Management, Data Partnerships, and Product to ensure clean activation, attribution, and renewal Maintain accurate pipeline hygiene in Salesforce and forecast with discipline Experience: 3–5 years of digital media or data sales experience, with meaningful exposure to programmatic (PMP, PG, open exchange) and/or agency holdco accounts Track record of closing and growing agency business Comfortable with the alphabet soup: DSPs (DV360, TTD, Yahoo), SSPs, data clean rooms (LiveRamp, Habu, AWS), IDFA/MAID/postal-code targeting, MMM and incrementality conversations Strong written and verbal communication; can build a deck and run a meeting Hungry, organized, and coachable Preferred: Direct experience selling audience data, data licensing, or off-platform activation (ex-LiveRamp

Developers are shipping more code than ever, accelerated by AI-assisted development and increasingly complex software delivery workflows. As a Product Manager II on the Developer Engagement team, you'll help bring Datadog's insights and automation directly into the tools developers use every day, making software delivery faster, safer, and more efficient. You'll define customer-facing experiences that connect Datadog's observability, CI/CD, testing, security, and AI capabilities with pull requests, code reviews, and developer workflows. This role offers the opportunity to work closely with customers, engineering, design, and go-to-market teams while shaping the future of software delivery for developers. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Partner with customers, developers, platform engineering teams, and internal stakeholders to understand software delivery challenges and identify opportunities to improve developer workflows. Own the product strategy and roadmap for developer-facing experiences within pull requests, code reviews, and source code management platforms. Collaborate across Software Delivery products to surface actionable insights from CI/CD Optimization, Test Optimization, Code Coverage, Code Security, Deployment Gates, Bits AI, and future capabilities. Work across source code ecosystems including GitHub, GitLab, Azure DevOps, Bitbucket, and enterprise environments to deliver scalable integrations. Partner with engineering teams to connect Datadog signals with recommendations, AI-assisted workflows, generated fixes, and future automated remediation experiences. Measure product success using customer adoption, engagement, feedback, and business outcomes while partnering with Sales, Product Marketing, Solutions Engineering, Custo

About the Team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. About the Role As a Quantitative Intelligence Analyst , you will focus on discovering novel and emerging risks in complex human–AI systems before they are well-defined, measurable, or widely understood. You will use deep subject matter expertise and quantitative tooling to surface weak, early, and unconventional risk signals. You will build analytic models that explain how harms could emerge and translate ambiguous patterns into structured, data-driven insight. Your work will help identify potential gaps in policy or coverage and operationalize previously unmeasured problems into signals that can support detection, mitigation, and planning downstream. You will develop analytical frameworks that map how new risks form, evolve, and propagate as products change, policies shift, and external events unfold. Your analyses will directly inform strategic risk prioritization and planning across the company, with regular visibility through strategic risk products. This role is based in office (hybrid, 3 days/week). Relocation support is available In this role, you will: Discover and define new quantitative risk signals where no established metrics exist, using subject matter exp

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. About the Role: Toast IQ is our agentic platform for local business: a growing set of specialized AI agents and capabilities designed to take real work off an operator’s plate, from driving demand and managing labor to optimizing the back office. As we expand this portfolio across multiple lines of business, we need to ensure that what we build comes together as a coherent platform, reaches the market effectively, and produces meaningful customer and business impact. The AI Operations Lead will help build and run the operating system that connects AI strategy to execution and market impact. You will help shape how our AI portfolio comes together, is launched, and adopted, building the operating engine that brings this experience to life, and turning customer, market, and technology signals into better product and commercial decisions. This is a highly cross-functional, hands-on leadership role. You will work directly with the VP of Product for Toast IQ, partnering across product, design, engineering, marketing, sales, and support to bring the vision of Toast IQ to life. Success will require strong judgment, exceptional communication, and the ability to personally drive ambiguous work to completion. A day in the life (Responsibilities) Create visibility across Toast’s broader AI efforts and run portfolio ops. Connect work happening across the agent portfolio and other AI initiatives. Share learnings, identify opportunities to reuse capabilities, and surface key decisions. Maintain visibility into ownership, sequencing, dependencies, key decisions, risks, progress, and enablement. Build Toast’s AI presence. Partner with product, design, engineering, and marketing to make Toast’s AI products, technical insights, customer outcomes, and talent more visible through launches, c

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe's Customer Success Managers (CSM) oversee the post-sales lifecycle for Stripe users, ensuring they realize the maximum value of their investment. This partnership drives user success, increases retention and expansion, and supports mutually beneficial renewal outcomes. Few roles provide such a direct impact on the growth of the company. What you’ll do The Customer Success Manager for Radar is a specialized scaled coverage role serving the Global CSM Team. You will work across account executives, technical account managers, ProServ, and AEPs to drive Radar adoption and deliver measurable improvements in fraud rates, dispute rates, and overall payments health. You will be the domain expert and operational backbone for Stripe’s fraud and disputes product suite (examples: Radar Standard, Radar for Fraud Teams (RFFT), Disputes, Adaptive 3DS, Smart Refunds, Radar for Multiprocessor, and Radar for Platforms, working across partners in Product, ProServ, Support, and Data Science. The ideal candidate combines deep fraud and payments risk domain expertise with strong cross-functional instincts. Responsibilities Monitor and Mitigate Risk: Identify churn signals, integration gaps, and potential Card Brand Monitoring Program (CBMP) risks to proactively initiate optimization conversations. Drive Value and Adoption: Educate users on fraud and disputes products, drive adoption of high-value features, and identify upsell opportunities Cross-Functi

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your focus will be driving a number of enforcement areas including access controls and identity verification. You'll own the policy layer of these systems: what we ask users for, when, on what grounds, and what passes. The work sits at the intersection of policy, operations, and regulatory exposure. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities Set collection policy for identity signals: what we request, in which enforcement states, and what evidence reinstates access Improve verification program health — accuracy, appeal coverage, and consistency of outcomes Own access policy for hard cases, including geographic restrictions and reseller arrangements Run the operational queue for access-control cases alongside contractor support, authoring playbooks and QA'ing scaled review output Work with Legal, Public Policy, and Privacy stakeholders to keep our approach proportionate, privacy-preserving, and responsive to an evolving regulatory landscape Coordinate enforcement consistency with third-party platform partners Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Stand up graduated enforcement in practice — verification request

About the Job: The Mid-Market Account Executive will drive LaunchDarkly's growth across a blended book of net-new and existing accounts. Acting as the "quarterback" for a defined book of business, you will develop and execute account strategies, run technical discovery and proof-of-concept cycles, and help customers successfully test, purchase, and adopt LaunchDarkly's platform. Responsibilities: Pipeline Generation: Qualify and convert inbound leads at a rapid pace while prospecting into ICP target accounts. Value Articulation: Articulate and sell the value of LaunchDarkly's platform subscriptions and usage-based pricing model. Technical Discovery: Prepare for and run discovery sessions with prospects to surface core use cases and align pricing to third-party architectures (AWS, Azure, GCP). Solution Demonstration: Customize and deliver demos with the Solutions Engineering team, and run proofs of concept for prospects. Account Expansion: Own, build, and develop relationships with existing customers, uncovering and developing new opportunities within the install base. Customer Success: Educate, evangelize, and guide customers through successful adoption, delivering their feedback back to Product and Engineering. Revenue Growth: Consistently hit revenue targets across both net-new and expansion motions. Collaboration: Work with your manager, Sales Engineers, and cross-functional teams to ensure seamless execution and customer success. Strategic Thinking & Execution: Design and execute account strategies that balance net-new acquisition with expansion of existing customers. Identify and capitalize on usage-based pricing signals and third-party architecture fit to prioritize opportunities. Adapt strategies as customer needs and market dynamics evolve, ensuring continuous growth and a competitive edge. Full-Cycle Sales Expertise: Proven track record managing a full sales cycle, from inbound qualification and prospecting through close and expansion. Deep understandin

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the RL teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Fable 5 and Opus 4.8. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to design silicon. Hardware design is difficult and unforgiving – exactly the sort of domain we want Claude to excel at. You'll leverage your chip design expertise and turn it into tasks and signals for models to learn from. Specifically, you will: Invent, design, and implement RL environments and evaluations for agentic RTL generation, design (including formal) verification, physical

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for engineers for our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms. You'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes data analysis capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. These are internal tools, but they are anything but low-stakes: the speed, clarity, and reliability of this tooling directly determines how quickly Anthropic can identify harmful behavior, make sound enforcement decisions, and feed signals back into model training and safety classifiers. You'll partner closely with policy, operations, data science, legal, and privacy teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities Build investigation, review, and enforcement tooling for both first-party and third-party platform surfaces — including case queues, investigation views, decision and audit logging, and account-actioning workflows Develop the platform layer of reusable APIs, data storage, and backend services that lets new review workflows be stood up quickly and safely Stand up and run deployments

The Compensation team serves as a strategic advisor to business leaders, managers, and employees across MDB. We are compensation experts with a deep understanding of our stakeholders, problem solvers who use data and insights to drive value, and partners who build the tools, models, and frameworks that support sound compensation decision-making across the company. This role sits within the Compensation function and will work closely with the Customer organization and cross-functional partners including Recruiting, Finance, Legal, HR Partners This role can be based out of of our offices or remotely in the United States. The Difference You Will Make: We are looking for a Senior Compensation Partner to serve as the dedicated compensation partner for the Product and Technology organization. This role will support Executive, VP and Director level leaders and their HRBP Partners as the primary day-to-day compensation resource. The ideal candidate will be a strong business partner and a builder of compensation programs, and tools, and must be comfortable operating with autonomy in a fast-moving environment. A Typical Day: Serve as the dedicated compensation partner for the Product and Technology organization, supporting senior leaders, HR Directors, and People Partners across customer divisions Act as the primary point of contact for new hire offers, internal equity reviews, leveling decisions, and out-of-cycle requests Own compensation cycle execution for customer client groups end-to-end, including market benchmarking, budget modeling, manager enablement, and leadership rollups Lead competitive intelligence for roles by conducting market research on compensation trends, pay practices, and talent movement, particularly important in the new AI competitive landscape Develop benchmarking methodologies that supplement traditional survey data with recruiting signals, offer data, and other real-time market sources Partner with Recruiting and People partners to provide market in

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 500 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 400+ 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 integr

About the Role We are seeking an experienced and versatile India Business Marketing Lead to drive OpenAI’s enterprise and B2B marketing strategy in India. This is a critical leadership role for a full-stack B2B marketer with strong India market judgment—someone who can operate across enterprise, startup, developer, and partner audiences, build foundational capabilities, and deliver high-impact programs that support revenue growth and long-term trust. This role will be responsible for shaping and executing integrated B2B marketing initiatives that support enterprise adoption, partner-led growth, startups, and developer-adjacent business audiences in India. The ideal candidate brings deep experience working with sales-led GTM teams, navigating complex stakeholder environments, and translating global strategy into locally effective execution for India. The preferred location for this role is Mumbai . In this role, you will: Lead the development and execution of India B2B marketing strategy, aligned with global priorities and India GTM objectives. Drive full-funnel B2B marketing programs across field marketing, content, customer marketing, events, executive engagement, and partner marketing. Partner closely with India GTM, Partnerships, Product Marketing, Comms, and Global Affairs to deliver integrated programs that support enterprise adoption and pipeline growth. Translate global B2B narratives and launches into India-relevant, market-specific execution across enterprise, startup, developer, and partner motions. Establish strong India marketing operating rhythms, including planning cycles, agency management, budget oversight, performance measurement, and reporting. Act as the India voice for B2B marketing, bringing market insight, customer perspective, trust signals, and local nuance into global strategy discussions. Build and scale foundational B2B marketing capabilities in India, with an eye toward future team growth and specialization. You might thrive in this role

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enforcement Analyst, you will be responsible for reviewing content and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your initial focus will center on reviewing flagged activity related to cyberattacks, malware development, and offensive exploitation; however, this position may later expand to include broader areas of enforcement. Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities Review flagged content and accounts to make accurate, well-documented enforcement decisions in line with our usage policies Detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations Triage and escalate novel, ambiguous, or high-severity cases to appropriate stakeholders Provide detailed feedback to the Safeguards policy design team on policy gaps surfaced through real enforcement scenarios Partner with Engineering and Data Science teams by surfacing detection model errors and quality signals from review to improve precision and recall Maintain high accuracy and consisten

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse — keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer. Payments fraud is more externally coupled than most trust and safety work — you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally. Responsibilities: Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting Engineer fraud signals at scale — device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage — and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases Own a portfolio of metrics — loss rate, dispute rate, authorization approval impact, and false-positive rate — rather than optimizing any single number Lead investigations into emerging fraud patterns, building multi-layered defense