Human Resources Specialist Jobs

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 The Ecosystem Risk Product Management team sits at the intersection of growth and protection. Our focus is twofold. We enable online businesses—including those in emerging and regulated industries—to start and grow on Stripe, while protecting consumers, merchants, and partners from financial crimes. We build financial infrastructure at scale that powers every transaction on Stripe, deliver merchant-facing UI and API experiences, and develop AI-driven solutions to some of the hardest and most exciting challenges in the digital economy. What you'll do Responsibilities Own the vision and multi-year roadmap for AI-powered financial crimes controls—spanning detection, investigation, information collection, and the UI and API surfaces that tie them together. Build core infrastructure that underpins Stripe's growing suite of products and services. • Develop investigator tools that power accurate case reviews using the best of AI and human expertise. Drive cross-functional execution by partnering closely with engineering, operations, design, data science, go-to-market, legal, and product teams across Stripe. Define and own success metrics, navigate complex trade-offs, drive prioritization, and measure outcomes with rigor to demonstrate impact. Align leadership and stakeholders by synthesizing input from across the organization and external sources, and communicating a clear point of view to peers and executives. Monitor the external landscape—re

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. The Role You'll be an engineer who builds AI agents in production, sitting close to the customers who depend on them. This is a full-stack engineering job with an unusually short distance between your code and someone's actual workday. You'll write Go and Python, design schemas, build evals, and present your solution to a senior executive at an enterprise - often in the same week. What You'll Do Design and ship production agents. You'll build agents that are mission-critical from day one: embedded in Teams, Slack, intranets, voice lines, and email, taking real actions against SAP, ServiceNow, Workday, and a long tail of systems nobody has heard of. These run at enterprise volume under enterprise scrutiny. Own the full lifecycle. Discovery, build, eval, launch, and the unglamorous months afterward where an agent goes from good to genuinely reliable. Work directly with the people whose problem it is. You'll sit with leaders at global enterprises, extract the process from their heads, and decide what should be an agent, what should be a workflow, and what should stay human. Push your work back into the platform. The best patterns you find in the field become

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 an Engineering Manager to lead 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. This is a foundational role: 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 analytics 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. As model capabilities and usage grow, you'll also drive how we scale review through automation — building systems where Claude meaningfully extends what human reviewers can do, while keeping people in the loop where their judgment matters most. You'll partner closely with policy, operations, data science, and legal teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities Lead, grow, and develop a team of engineers building investigation, review, and enforcement tooling for both first-party and third-party platform surfaces Define the vision and roadmap for our review tooling platform, including analytics, privacy-compatible data access primitives, and a sandbox for rapidly developing new review interfaces Drive the team's strategy for scaling review through a

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Staff Machine Learning Engineer, Identity Verification As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you'll own the ML systems that determine whether a person, document, and capture session are legitimate. Every signup, account recovery, and high-risk action at Coinbase depends on these models. You'll lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts. What you'll do: Own the full IDV ML stack, including document authenticity models, 1:1 and 1:N face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through threshold tuning and production enforcement. Build identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding. Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and device-fingerprint-based risk scoring at real-time latency. Drive vendor ML strategy by benchmarking external models against a Coinbase-owned evaluation set, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that catches regressions before they reac

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The CX Intelligence team is part of Coinbase’s Enterprise Applications and Architecture org and builds the customer-facing and internal CX experiences that connect the Help Center, chatbots (CBCB), and agent workflows. The team owns the multi-agent platform which powers coinbase chat, Help Center and agent tooling surfaces, partnering closely with Conversation Design, CX, and other Engg teams to deliver secure, compliant, and scalable AI-powered support. Our work provides the trusted and accurate automated and agent-assisted experiences—helping customers get answers faster while enabling human agents to resolve cases more effectively. We are hiring an IC5 Machine Learning Engineer to drive the evolution of our conversational ecosystem by building a seamless hybrid vendor-internal chatbot experience. You will lead the design and implementation of a sophisticated unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants. This role is pivotal in managing complex state transitions, context sharing, and intent routing across a distributed environment. You’ll thrive here if you enjoy high ownership, architecting complex hand-off logic between disparate LLM frameworks, and building reliable AI-enabled products that are fast, measurable, and scalable. What you'll do: Architect and deploy the orchestratio

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. An AI Full Stack Engineer builds modern applications using AI as a first class capability—both as part of the development workflow but also designing, architecting, and delivering AI capabilities across the Micron enterprise. This role goes beyond simply using AI coding assistants. You will have strong understanding of Prompt Engineering, Vibe Coding, Rework Rate Reduction and leverage Custom Agents, and integrations built around the Model Context Protocol (MCP). You will apply strong software engineering fundamentals to assemble, integrate, and operationalize AI capabilities into real production systems being accountable for Full-Stack solutions. The goal of this role is to significantly shorten development and feedback cycles—by automating routine engineering work, augmenting human decision-making, and embedding intelligence directly into our development workflows and the applications we deliver. Core Full Stack Engineering: Contribute to platform enablement, architecture decisions, code reviews, and shared engineering standards Design, build, test, deploy, and operate full stack software solutions Own features end‑to‑end: system design, platform implementation, testing, observability, and lifecycle support Collaborate with business teams to translate requirements into scalable solutions AI ‑ centric full stack development Design and implement Custom AI Agents to support workflows such as:

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role As a Senior Software Engineer, Collision Avoidance Testing, you will work closely with the onboard autonomy, evaluation infrastructure, data science, operations, and simulation teams to evaluate the performance of the autonomous vehicle in collision avoidance scenarios. You will be responsible for identifying gaps in onroad and simulation tests, designing appropriate tests to fill those gaps, reviewing test outcomes, and iterating on test design. You will analyse the results, recommend product changes, and report on residual risk both to leadership and in the safety case. About the Work Using human benchmarks from naturalistic data, develop statistical models that drive strategic decisions as a function of test volume, system performance, and confidence level. Identify and design realistic scenarios to drive test coverage of collision avoidance scenarios and collision detection scenarios using replay simulations of logs an

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. Mission Overview & Responsibilities : We are looking for a Research Lead with a passion for ensuring that reader-centric insights are at the heart of the product development process. You will lead a variety of end-to-end research projects that drive strategy for the New A.I. Products and Platforms (NAPP) Mission. You will work with a cross-functional digital product team, including Product, Design, Editorial, Engineering and Marketing. You will report to the Managing Director of News Products and Audience Insights at The New York Times. The mission of the New York Times Audience Insights team is to help The Times grow by understanding our audience. The Audience Insights team is centralized team of researchers working with teams across The New York Times. We utilize product, human-centered design, innovation, market and UX research, and we draw from principles in the social sciences (Psychology, Anthropology, Sociology and Behavioral Economics). This is a hybrid role based in our New York City office. Responsibilities: Lead a human-centered design approach for products teams, inspiring colleagues to build innovative product features grounded in user needs to drive NAPP and company goals. Use research-based insights and GenAI tools for rapid prototype iteration. Own evaluation for quality and editorial integrity: Create frameworks to assess the success of A.I. prototypes and products. Build innovative solutions using AI tools to supp

AI Business Consulting Lead Location: London (Hybrid) | Practice Area: Wealth & Asset Management | Type: Permanent Lead AI transformation across the future of Wealth & Asset Management **Wealth & Asset Management experience essential** The Role Join Capco’s Wealth & Asset Management practice as an AI Business Consulting Lead, helping leading wealth managers, private banks, asset managers, and investment platforms unlock measurable value from AI-enabled transformation. This role combines strategic advisory, transformation delivery, stakeholder leadership, and AI commercialisation, helping clients leverage technologies such as GPT, Copilot, and broader AI/ML capabilities to drive business value through practical, responsible, and scalable adoption. Operating at Principal Consultant level, you will lead complex client engagements, oversee multidisciplinary delivery teams, and act as a trusted advisor to senior stakeholders across business, operations, technology, risk, and compliance functions. You will play a key role in identifying AI-enabled opportunities, shaping transformation roadmaps, supporting responsible AI adoption, and driving enterprise-wide change across Wealth & Asset Management organisations while ensuring solutions remain practical, human-led, and aligned to business objectives. This role is suited to individuals who combine deep Wealth & Asset Management expertise with strong consulting capability and practical experience delivering AI-enabled business transformation within highly regulated environments. What You’ll Do Lead AI-enabled transformation programmes across Wealth & Asset Management organisations, identifying opportunities to improve advisor productivity, client experience, operational efficiency, and investment processes using approved AI tools and practical automation where they add value. Act as a trusted advisor to senior stakeholders, facilitating executive discussions, shaping AI adoption strategies, and tra

AI Business Consultant / Senior Consultant Location: London (Hybrid) | Practice Area: Business Consulting | Type: Permanent Help financial services organisations turn AI ambition into practical business transformation The Role Join Capco’s Business Consulting practice, supporting leading financial services organisations as they adopt and scale AI capabilities across their businesses. This role sits at the intersection of business transformation, AI enablement, and delivery consulting, helping clients identify practical opportunities to embed tools such as GPT, Copilot, and broader AI/ML solutions into day-to-day operations. You will work closely with stakeholders across business, operations, technology, risk, and compliance teams to support the delivery of AI-enabled transformation initiatives. The role combines elements of business consulting, change management, project delivery, and AI commercialisation, with a strong focus on helping organisations confidently and responsibly adopt emerging technologies through practical, human-led delivery. What You’ll Do Support financial services clients in identifying and delivering AI-enabled opportunities that improve operational efficiency, employee productivity, and business innovation using approved AI tools and practical automation where they add value. Partner with stakeholders to translate business challenges into practical AI use cases, supporting workshops, requirements gathering, delivery coordination, and implementation activities. Contribute to AI transformation initiatives across Banking & Payments, Capital Markets, Wealth & Asset Management , or Insurance, helping clients embed AI into workflows, operating models, and business processes. Work alongside cross-functional teams including product owners, engineers, data specialists, risk, and compliance teams to support the testing, validation, and rollout of AI-enabled solutions with human-in-the-loop review and appropriate controls. Deliver stakeholder eng

AI Programme Manager Location: London (Hybrid) | Practice Area: Wealth & Asset Management | Type: Permanent Lead AI transformation programmes that are reshaping the future of Wealth & Asset Management **Please note we WAM experience is essential for this role** The Role Join Capco’s Wealth & Asset Management practice as an AI Programme Manager, helping some of the industry's leading wealth managers, private banks, asset managers, investment platforms, and retirement providers accelerate their AI transformation journeys. As AI continues to reshape how firms engage clients, support advisers, manage investments, and optimise operations, organisations are seeking experienced leaders who can translate ambition into sustainable delivery. This role combines programme leadership, strategic consulting, governance, stakeholder management, and AI-enabled transformation to help clients realise measurable value from emerging technologies. You will lead complex programmes spanning business, operations, technology, data, risk, compliance, and product teams, ensuring AI initiatives are effectively governed, aligned to strategic objectives, and delivered successfully within highly regulated environments. Working closely with senior client stakeholders and multidisciplinary delivery teams, you will oversee programme roadmaps, governance frameworks, delivery execution, risk management, and organisational adoption. This is also an AI-infused delivery role. You will be encouraged to explore how approved AI tools can enhance programme delivery, improve decision-making, and increase efficiency, while ensuring human judgement, accountability, and appropriate governance remain at the centre of delivery. What You’ll Do Lead the delivery of complex AI, Generative AI, and emerging AI transformation programmes across Wealth & Asset Management organisations, overseeing governance, planning, reporting, risk management, and successful programme execution. Partner with senior stakeh

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Security Engineering team at Decagon protects the platform that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. We build the security foundations that enable Decagon's AI agents to handle sensitive customer data with trust while defending against sophisticated, AI-enabled threats at massive scale. Our mission is to provide magical support experiences — ensuring that AI agents and human agents can collaborate safely to help users resolve their issues while maintaining the highest standards of security and privacy. About the Role Lead the application security strategy and implementation for Decagon AI's conversational platform that serves enterprise customers at scale. You'll partner with engineering teams to build security directly into our AI-powered applications, ensuring protection against application-layer threats while maintaining the performance and reliability our customers expect. This role offers the opportunit

P-1388 As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms. You will help customers realize business value from Databricks Ecosystem products through strong technical leadership, AI-first operational innovation and customer-centric execution. Mission Lead and scale a world-class AI-first Data & AI Support Engineering organization that combines deep technical expertise, operational excellence, intelligent automation and customer-centric support to accelerate issue resolution, improve platform reliability and drive exceptional customer outcomes across enterprise-scale Data and AI workloads. Build AI-enabled support workflows and reusable automations to improve resolution speed and support quality. Use Agentic AI systems, logs, telemetry, observability platforms and internal systems to accelerate troubleshooting and root-cause analysis safely. Create reusable runbooks, prompts, and agentic workflows that scale operational efficiency across teams. Ensure strong AI governance, customer data safety, validation practices, auditability, and human-in-the-loop controls. Partner with Engineering and Product teams to drive AI-first support innovation and operational excellence. Outcomes Drive AI-first support transformation initiatives that improve resolution speed, case quality, operational efficiency and customer experience. Partner with Engineering and Product teams to operationalize AI-assisted diagnostics, observability insights, and intelligent escalation management for enterprise customers. Build and scale reusable AI-enabled workflows, automations, runbooks, and operational intelligence frameworks across the support organization. Lead and manage Technical Solutions Engineers, Team Leads, and support operations personnel across AMER support functions based ou

P-1477 Databricks is transforming how it builds and operates People Technology — moving from traditional SaaS configuration toward an AI-native, agentic stack. You'll be the technical anchor of the People Tech pod, driving the architectural shift from workflow automation to autonomous, multi-agent systems that power HR, recruiting, workforce analytics, and employee experience at scale. This is a rare opportunity to reimagine a critical enterprise domain from the ground up using the very data and AI platform Databricks sells to the world. What you'll do Architect and build agentic systems that automate and augment People Tech workflows — onboarding, offboarding, comp analysis, policy Q&A, HR service delivery — using LLM orchestration frameworks (LangGraph, AutoGen, or equivalent). Define the agentic platform strategy for the pod: agent design patterns, tool-calling conventions, retrieval-augmented pipelines, evaluation frameworks, and human-in-the-loop guardrails. Integrate People Tech systems (Workday, Greenhouse, ADP etc.) as agent-accessible tools and data sources via Databricks Unity Catalog and MCP-style interfaces. Set the technical bar for the pod — reviewing designs, establishing engineering standards, and leading architectural reviews across the People Tech roadmap. Influence peers and stakeholders: translate agentic capability into business outcomes for People, Legal, and Finance partners, and mentor engineers in the pod on AI-first thinking. What we're looking for 8+ years of software engineering experience, with at least 2 years building production LLM or agentic applications (agents, RAG pipelines, tool-use, multi-agent orchestration). Deep fluency in Python and experience with agentic frameworks — LangChain/LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar. Strong command of enterprise integration patterns: REST/GraphQL APIs, event-driven architecture, and connecting SaaS HR/HCM platforms programmatically. Experience with data platforms — Data

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Instawork’s on-demand labor marketplace is uniquely valuable for robotics and physical AI. We’re working with leading frontier labs to create the highest-quality, highest-diversity datasets for training robotics foundation models. Instawork Robotics is the human advantage in the robotics revolution. We are seeking a highly driven Assistant Manager – Operations to support and execute field data collection operations across multiple regions. You will coordinate Field Officers and Regional Coordinators, track daily targets, manage manpower and equipment deployment, and resolve operational issues in real time. Working closely with Pipeline, Inventory, Hardware, and QA teams, you will help ensure consistent, high-quality recordings are delivered every day . About IRL Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answ